bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selective Head versus Whole Body Cooling Treatment of Hypoxic-Ischemic Encephalopathy: Comparison of Electroencephalogram and Magnetic Resonance Imaging Findings
Authors: Goenka Ajay , Yozawitz Elissa , Gomes William A. , Nafday Suhas M. 
Published: July 2019

Abstract
Objective This study aimed to compare the utility of electroencephalogram (EEG) and brain magnetic resonance imaging (MRI) to detect brain dysfunction and injury across a cohort of newborn infants treated with selective head cooling (SHC) or whole body cooling (WBC).
Study Design Therapeutic hypothermia (TH) is a standard neuroprotection tool for hypoxic-ischemic encephalopathy (HIE) in neonates. Sixty-six newborns, SHC (n = 22) and WBC (n = 44), were studied utilizing standardized scoring systems for interpretation of EEG and MRI based on the severity of the findings.
Results SHC- and WBC-treated groups did not differ significantly amongst most of the baseline parameters. EEGs obtained postcooling were abnormal in 58 of 61 (95%) infants. The severity of the EEG background changes (depressed and undifferentiated background) was more prevalent in the SHC (8/21 [38%]) than in the WBC group (5/40 [13%]). Brain MRIs showed HIE changes in 26 of 62 (42%) newborns treated with TH. MRI abnormalities of basal ganglia, thalamic, and parenchymal lesions were more common in the SHC (5/19) versus the WBC group (3/43); p = 0.04.
Conclusion EEG abnormalities and MRI findings of HIE were more prevalent in the SHC than in the WBC group. WBC may offer better or at least similar neuroprotection to infants with HIE.
Lower Limb Malrotation Is Regularly Present in Long-Leg Radiographs Resulting in Significant Measurement Errors
Authors: Maderbacher Günther , Matussek Jan , Greimel Felix , Grifka Joachim , Schaumburger Jens , Baier Clemens , Keshmiri Armin 
Published: July 2019

AbstractWeight-bearing long-leg radiographs are commonly used in orthopaedic surgery. Measured parameters, however, change when radiographs are conducted in different rotational positions of the leg. It was hypothesized that rotational errors are regularly present in long-leg radiographs resulting in wrong measurements. In 100 consecutive long-leg radiographs conducted according to the method of Paley, rotation was assessed by fibular overlap. Angular parameters in radiographs (mechanical lateral proximal femoral angle (mLPFA), mechanical lateral distal femoral angle (mLDFA), angle between the anatomical and mechanical femoral axis (AMA), mechanical medial proximal tibia angle (mMPTA), mechanical lateral distal tibial angle (mLDTA), and the mechanical femoral and tibial axis (mFA–mTA) were measured and deviations related to malrotation calculated. An average internal rotation of 8 degrees was found in lower limbs showing a range between 29 degrees of internal and 22 degrees of external rotation. As a result, mean differences before and after rotational correction for measured parameters (mLPFA, mLDFA, AMA, mMPTA, mLDTA, mFA–mTA) ranged between 0.4 and 1.7 degrees (−2.1; 5.6 95% confidence interval [CI]). In conclusion, malrotation of lower limbs is regularly present in long-leg radiographs. As all measured parameters are influenced by malrotation, correct lower limb rotation needs to be verified.
Simulation Analysis on the Blade Airfoil of Small Wind Turbine
Authors: Zongheng Hong , Tao Yu , Guanyu Chen , Xiangrui Li , Yu Hong 
Published: July 2019

Abstract
The selection of the blade airfoil of wind turbine has a crucial impact on the overall efficiency of wind turbine and wind energy utilization. Aiming at the small 300W household wind turbine on the market, based on its known design parameters and using the software of Profili and SolidWorks, the 3D solid modeling of the blade has been achieved in three common airfoils (NACA4412, NACA0009 and NACA 23012). Then, by using the Fluent module of the finite element analysis software ANSYS, the actual working environment of the blade is simulated. The results show that the blades under the NACA0009 airfoil can produce a relatively maximum axial torque of 3.7808 Nm. Finally, based on the above research method, the new airfoil Icarus was discovered by improving the existing airfoil, which has a relatively low manufacturing cost, and the average pressure difference per unit area of the blade is 4.95% higher than that of the NACA0009 airfoil. This research can provide reference for the improvement of airfoil of small wind turbines, which has certain practical significance and practical value.
Structures prediction of Plasmodium Falciparum Signal Peptide Peptidase (PfSPP) and identification of binding Site
Authors: Priambodo G , Kartono A , Batubara I , T Wahyudi S 
Published: July 2019

Abstract
Malaria is a tropical parasitic disease caused by mosquitoes. Plasmodium falciparum is the species that causes the most human deaths compared to other species. Plasmodium which infects red blood cells will causes pathology and clinical manifestations in malaria sufferers. Plasmodium falciparum Signal Peptide Peptidase (PfSPP) is an important enzyme to infect red blood. I-TASSER (Iterative Threading ASSEmbly Refinement) has been used to predict the 3D structure of the PfSPP enzyme by modeling using proteins in databases. Based on data analysis such as Ramachandran plot, G-Factor, RMSD, Radius of gyration, and NAMD energy, model 5 is the best model of all I-TASSER structure prediction models. AutoLigand was used to predict the binding sites on this model and obtained 5 binding sites points with lowest free energy on each fill point. Binding sites 3, 4 and 5 have the largest volumes 345 Å3, 372 Å3, and 395 Å3 respectively so that they have potential to bind with both ligand mefloquine and primaquine with volume 330 Å3 and 333 Å3 respectively. Three binding sites have the potential to inhibit PfSPP so it cannot function properly and stop the invasion of the parasite’s merozoite to other erythrocytes.
Effect of harvest timing and length of storage time on glucomannan content in porang tubers
Authors: Nurlela  , Ariesta N , Santosa E , Muhandri T 
Published: July 2019

Abstract

Amorphophallus muelleri Blume synonym of A. oncophyllus (porang) is one of the species of porang that grows in Indonesia, especially in East Java. It has a high economic value because the tubers contain glucomannan. Earlier work reported that harvest timing and length of storage affected secondary metabolite containing on plants. The study objective was to determine the glucomannan content of porang at 1, 2 months before dormant, at dormant and length of storage time (1 and 2 months after dormant) at room temperature. Glucomannan was isolated from fresh tubers to easier removal of the impurities and obtain the high purity of glucomannan. The highest obtained glucomannan was determined its functional groups using Fourier Transform Infrared (FTIR). The highest glucomannan content was derived in tubers taken at dormant compared to before and after dormant. FTIR spectra confirmed the presence of functional groups that compose the glucomannan compound.
Phycoremediation of anaerobic digested dairy manure wastewater using Chlorella vulgaris
Authors: Taufikurahman T , Istiqomah I N 
Published: July 2019

Abstract
Microalgae have been used in a process of pollutants removal from wastewater, a process known as phycoremediation. In this study we used Chlorella vulgaris to remediate anaerobically digested dairy manure wastewater (ADDMW) which contained a high concentration of nitrogen and phosphor. The light intensity of 50, 100 μmol/m2s and sunlight were applied to the microalgal culture. Percentage of reduction in ammonium and orthophosphate content in the media were measured. Protein content in microalgal biomass was measured using hot-TCA method. At the light intensity of 100 μmol/m2s, microalgal productivity in biomass reached its high level i.e. 0.149 ± 0.03 gL−1d−1 with its protein content 10.74 ± 0.63%. However, the highest specific growth rate (0.343 ± 0.034 d−1) with the shortest doubling time (2.028 ± 0,141 d) were reached under sunlight conditions. The reduction rate of ammonium and orthophosphate content in the medium were 36-48 mgL−1h−1 and 5-6.62 mgL−1h−1 respectively in a culture which was inoculated with C. vulgaris. C. vulgaris can be used as phycoremediator for ammonium and orthophosphate, and ADDMW medium can supply C. vulgaris with appropriate nutrients. Moreover, light intensities of 50 and 100 μmol/m2s can be used in the indoor culture of microalgae.
Cellulolytic and Xylanolytic Actinomycetes selection to degrade Lignocellulosic biomass of Robusta coffee pulp (Coffea canephora)
Authors: Putri E , Rukayadi Y , Sunarti T C , Meryandini A 
Published: July 2019

Abstract
Actinomycetes are bacteria that have a high ability to produce hydrolytic enzymes that can be applied to degrade coffee pulp which contains lignocellulose components. Coffee pulp is residues from a coffee industry that can be used as substrates in the solid state fermentation process. In this study, cellulase and xylanase activity from actinomycetes isolates were investigated. Screening of these enzymes activity was using agar medium supplemented with 1% carboxymethylcellulose (CMC) and xylan from beechwood as substrate. Production of clear zones surrounding isolates on CMC and xylan agar medium was considered as indicative of extracellular cellulase and xylanase activity. The size of a transparent zone diameter was considered as proportional to the level of cellulase and xylanase production. Congo red 0,1% was used for staining. Selected actinomycetes isolates were continued to growth investigation on agar medium supplemented with 1% coffee pulp. The clear zone formed around isolates indicated that the isolate had the ability to degrade the lignocellulose component in the coffee pulp. The results show that of the 99 actinomycetes isolates tested on agar medium supplemented with 0.1% CMC and xylan, 16 isolates showed cellulase activity (cellulase index ≥ 2), 20 isolates showed xylanase activity (xylanase index ≥ 1), and 5 isolates showed both activities. Ten isolates have the ability to grow and produce a clear zone on the coffee pulp agar medium with cellulase and xylanase activity. Among these ten tested isolates; HJ4.5b, P2b(b).3, P2b(b).4, and P2b(b).18 are the most potential isolates that can be continued for further research on fermentation coffee cherries.
Influence of urea fertilizer applied with polyacrylate polymer, zeolite and Mimba on growth maize
Authors: Sofia A R B , Hala Y , Makkulawu A T , Hiola S F , Karim H , Iriany R N , Sjahril R , Jumadi O 
Published: July 2019

Abstract
This research was carried out to study the growth of maize fertilized with a composite of urea with slow release materials (polyacrylate polymer and zeolite) and nitrification inhibitors, Mimba (Azadirachta indica). Three times repetitions of Randomized Block design was used in this study. The parameters observed included biomass (g), the weight of cobs (g) and the length of cobs (cm). The weight and the length of corn cobs were measured after harvest. The result of the study shows that the growth of maize applied with urea fertilizer composited with polymeric polyacrylate, zeolite and Mimba was significantly different from the negative control (KH2PO4/Mono potassium phosphate) fertilizer and appeared to be significantly better than the positive control (Urea and KH2PO4 fertilizers).
Isolation and molecular identification of Endophytic bacteria from Noni fruits (Morinda citrifolia l.) and their antibacterial activity
Authors: Sogandi  , Nilasari P 
Published: July 2019

Abstract
Endophytic bacteria are microorganisms that exist in the system of plant tissues such as fruits, leaves, twigs, roots and they can form colonies without causing damage to the plant. One potential medicinal plant has endophytic bacteria are Noni fruits (Morinda citrifolia l). This study aimed at isolating endophytic bacterial from Noni fruits (Morinda citrifolia l), screening endophytic bacteria, determining antibacterial activity of potential endophytic bacteria, identifying 16S rRNA of potential endophytic bacteria, and detection of an antibacterial compound using GCMS. Endophytic bacteria were successfully isolated from Noni fruits and disc-diffusion methods were used to screen for antibacterial activity against pathogenic bacteria (Staphylococcus aureus, Escherichia coli, Shigella dysenteriae, and Streptococcus mutans). The result of bacterial activity showed isolate ACP1, ACP2, ACP4, and ACP6 were produced antibacterial compounds. The activity shown with the formation of a clear zone and ACP6 isolate could inhibit four pathogenic bacteria with the highest clear zone. Molecular identification was investigated used PCR amplification 16S rRNA gene. The result showed that the potential isolate ACP6 (Acc. No. MH915674.1) belonging as Enterobacter cloacae with 99 % sequence similarities and according to GCMS analysis, ethyl acetate fraction from secondary metabolite ACP6 contains Pyrazine as a bioactive compound. These findings suggest that the identified strains may contribute to the search for new sources of antibacterial substances.
Optimum scoring scheme to classify villages into urban-rural group
Authors: Manik R P , Herlina  , Wigena A H , Surbakti S R , Sartono B 
Published: July 2019

Abstract
The scoring method has been used by BPS-Statistics Indonesia since the 1980s to classify urban/rural areas. Currently, the 2010 scoring method uses total score 10 as a threshold to classify villages to urban-rural status. If the total score more than or equal 10, the villages are classified as urban, and rural otherwise. Applying the 2010 scoring method on raw data of Pendataan Potensi Desa (PODES) 2008 and 2014 shows 1266 villages change from urban to rural. Therefore, it is necessary to evaluate the determinant of predictors and the criteria of each predictor. The purpose of this research is to show the optimum scoring method from several optimizations that change the predictors and several optimizations that add new predictors. Exploratory Data Analysis (EDA) used to obtain the predictors and scores for each new criterion. In relation to this research problem, optimization is used to get the best results under given constraint. The constraint of the optimization carried out is the assumption that the changes in rural to urban status are increasing, and the changes in urban to rural are not existing. The optimum scoring method obtained from this study is the one excluding cinema (X8), changing the criteria of percentage of households with cable phone (X11) and percentage of households with electricity (X12), replacing predictor hotels (X10) into a starred hotel and adding minimarket as a new predictor. This optimization uses 12 variables with threshold 10. The implication of this study for future research is the use of more advanced statistical methods than EDA to determine the criteria of each predictor.
A simulation study with log, Box-Cox, and dual-power transformation on handling curvilinear relationship in small area estimation
Authors: Bodro D K , Sartono B , Sadik K 
Published: July 2019

Abstract
A standard small area estimation method may fail to produce reasonable estimates when the normality assumption is not met or the relationship between the interest parameter and the auxiliary variables is not linear. A logarithm transformation has been widely used to help this issue and works well for some cases. However, it may not be generally valid so that some transformation such as Box-Cox (BC) and dual power (DP). This paper discusses a simulation study on how BC and DP could overcome circumstances where those aforementioned problems are there in the data. Several different forms of the relationship were studied and the study revealed that BC and DP transformation are the recommended methods because they produced smaller Mean Absolute Percentage Error (MAPE) values than ones without transformation or using logarithm transformation. Even if DP does not consistently provide the lowest value, but technically, DP can overcome truncated problems that occur in BC. The findings of this work indicate that this new transformation, DP, is proposed to be the best transformation to overcome the abnormality of an interesting variable because this transformation produces a monotonic function that has a domain of positive real numbers (ℝ+) and range of whole real numbers (ℝ).
Simulation study for comparison of spatial autoregressive probit estimation methods
Authors: Novkaniza F , Djuraidah A , Fitrianto A , Sumertajaya I M 
Published: July 2019

Abstract
One of probit model variant with spatial dependent is spatial autoregressive (SAR) probit model. In SAR probit model, the spatial dependence structure adds complexity to the estimation of parameters. There are four methods for estimating the parameter of SAR probit model; maximum likelihood, Bayes, linearized GMM, and conditional approximate likelihood. The purpose of this article is to choose the best estimation method from four methods describes above using some extensive simulation which can handle sample sizes with large observations and various value of spatial lag coefficient, provided the spatial weight matrix is in an inconvenient sparse form, as is for large data sets, where each observation neighbors only a few other observations. The best estimation method is chosen based on the shortest confidence interval for the mean of SAR probit estimation, lowest bias, and Root Mean Square Errors (RMSE) of prediction. It was found that conditional approximate likelihood method was the best among the four methods concerning confidence interval and bias, yet regarding estimating RMSE, maximum likelihood estimation performed better. Maximum likelihood, Bayes, and conditional approximate likelihood method were better than linearized GMM in SAR probit parameter estimation for large dataset.
Twitter utilization in application of small area estimation to estimate electability of candidate central java governor
Authors: Muhyi F A , Sartono B , Sulvianti I D , Kurnia A 
Published: July 2019

Abstract
A survey was designed to estimate electability of a governor candidate in the province of Central Java in 2018. The estimate was planned to be done at the province level. However, it is also interesting to do estimation at the district level. The problem is that the sample size at some district is too small or even zero so that the estimate would have inadequate precision. Using a small area estimation method, this research tried to have good estimation by utilizing information from Twitter and other auxiliary data in the modeling. To evaluate the estimation, we calculated the mean square error (MSE) of the estimated electability using resampling method. We noted that both indirect and direct estimations at the province level have equal precision, but the indirect estimation outperformed the direct estimation at the region level. We also compare our result to the election result of Governor Election.
Antibacterial based on IPBCC.08.610 glucose oxidase against UDP-N-acetyl glucosamine enolpyruvyl transferase and elongation factor G enzymes in silico
Authors: Hakim M R , Sumaryada T , Ambarsari L 
Published: July 2019

Abstract
The use of a synthetic antibacterial agent as food preservatives could develop several health problems thus the user should be reduced. Enzyme-based antibacterial is a natural antibacterial that could substitute the latter antibacterials. Enzyme-based antibacterials have several ways that can be used to inactivate microbes, one of them utilize enzyme catalysis products. The aim of this research is to study the interaction between IPBCC.08.610 glucose oxidase (NCBI accession number MH593586) catalysis product against MurA and EFG enzymes using computational investigation. We confirmed that the gene sequence from previous research is truly encoding the IPBCC.08.610 glucose oxidase. Gluconolactone and gluconic acid are less effectively absorbed by microbes. Gluconolactone and gluconic acid are capable to interact with Cys115 and Asp305 of MurA, meanwhile, it does not interact with Phe90 and Thr84 of EFG. Gluconolactone and gluconic acid can inhibit MurA effectively but not on EFG.
Utilization of groundwater for the bottled water industry by minimizing fixed and variable cost
Authors: Oktavia M , Aman A , Hanum F 
Published: July 2019

Abstract
Water is a class of renewable natural resources. The main source of water is the rain that will always come during its season along the year. The water flows and moves (on the ground and underground) and then will stay at a retention (storage) area. There are two kinds of the retention that are natural retention (such as concave areas, lake, and low places) and artificial retention (such as saving water, well, basin, and watershed). The presence of the watershed in a region will affect the availability of water resources. A region which has watershed could use groundwater resources to fulfill the water requirements for household, agriculture, industries, tourism, and electric power station sectors. The bottled water industry (BWI) is normally built around a watershed area so that it can use the resource of water from the spring. But a problem would arise whenever the industry decided to increase the production capacity. This research addressed the problem of determining an optimal composition on water resources for the above-mentioned industry in ordered to minimizing the total cost. There are four alternatives to utilized groundwater around the watershed. Each water resource alternative has different cost characteristics. The cost can be classified to fixed and variable cost. This problem is modeled as a mixed integer linear programming problem and solved using a branch and bound method. This model is implemented at PT Tang Mas Cidahu in Kampung Bojong Pari Desa Jaya Bakti Kabupaten Sukabumi, West Java.
An alternative approach in predictive modeling using model averaging scheme for logistic regression case (case study: application in class prediction of autistic spectrum disorder data)
Authors: Rahardiantoro S , Kurnia A , Raharjo M , Yanti Y 
Published: July 2019

Abstract
Logistic regression has become a popular method for handling predictive modeling when the response variable has a categorical scale. The difference in category proportion in response variable could influence the prediction accuracy. This research applied the model averaging approach for logistic regression in purpose to improve the prediction accuracy in different proportion of each category. Model averaging has the idea to combine some model candidates based on the specified weight to be the final model. The model candidate in model averaging generated based on all possibilities variable selection in the model. AIC weight is chosen to apply in the combination of all possible model candidates. It is illustrated with an application to data from a classification of Autistic Spectrum Disorder data. The result of this case indicated that the logistic model averaging had better performances.