bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of steady flow model to overcome inundation based on eco drainage system in the Port Area of Dobo City, Aru Islands Regency
Authors: Prasetyo B E , Idfi G , Mujiyono  , Suwarno E 
Published: November 2019

Abstract
This research was carried out in inundation that occurred in the Port area of Dobo City, Aru Islands Regency. Inundation that occurs is due to the unavailability of adequate and well-arranged drainage. This research aims to plan a drainage system in the Port area of Dobo City that can overcome the inundation that arises and the influence of tides. Data processing is carried out with two analyzes including hydrological analysis and hydraulic analysis. For hydraulics analysis, this includes cross section planning and drainage system modeling with HEC-RAS 4.0. In conventional drainage in the case of high tides, the results of the modeling show that the overflow of water on the channel that will occur is at an elevation of +2.48 m. After adding a long storage with dimensions of 1.2 m x 3.5 m along 101.6 m and sea walls as high as + 2.48 m. The results of the modeling show that the inundation height that will occur is at an elevation of +0.61 m. Of the several scenarios that are performed for the most optimal two-door openings, which are opened by 30 cm which later the water will be at + 12 cm elevation. Whereas the most optimal one-door openings are opened by 70 cm which later the water will be at + 6 cm elevation.
The effect of white soil on geopolymer mortar porosity
Authors: Priastiwi Y A , Muhrozi  , Adi R Y , Daryanto D , Salamsyah Z 
Published: November 2019

Abstract
This study analysed the effect of white soil as a filler on geopolymer mortar. The materials used were fly ash, white soil from Kupang as fillers, sand, water, and NaOH as alkaline activator. The comparison of geopolymer mortar mixture was 1 Pca: 3 Sand with water factor 0.5. The Pca was composed by white soil and fly ash with alkaline activator and water. The percentage of white soil used were 5, 10, 15, 20, 25 and 30%. The white soil chosen passed the number 200 sieve. Moreover, the dimension of mortar used was 5 x 5 x 5 cm. To remove the water content from the mortar, the oven was set at 60 °C for 24 hours until the mortar weight did not change. The result shows that porosity decreases with the increase of white soil percentage. Increase in the white soil percentage by 5, 10, 15 and 20% can reduce porosity by 0.9, 2.7, 2.5 and 2.9%. Nevertheless, the white soil, with a percentage of 25 and 30, increased porosity by 3.7 and 3.8%, respectively. This happened because in these percentages, the white soil hardens faster than the other percentages, impacting the compaction process on the mould.
Compression test analysis of cold-formed column in channel profile connection
Authors: Rachmahwati D F , Nindyawati N , Karyadi K 
Published: November 2019

Abstract
This study analyzes the load capacity of the cold-formed steel column frame structure for multilevel buildings to withstand axial loads. The column frame structure will be modeled, analyzed and tested. In this paper, the study is about a cold-formed channel profile that is compressed. The research objectives are to determine (1) stress and strain, (2) damage patterns, and (3) research development. The test object is modeled by using finite element method with a scale of 1:1 and the loading used is linear static loading. The simulation with finite element method uses atrial and error method by entering the obtained parameters. The draft and design of channel profiles used in cold-formed steel material refers to a several guidelines including SNI-7971-2013 on Cold Formed Steel Structures.
Structural performance of multi-storey building using flat slab and conventional slab to seismic loads (Case study: Faculty building of Sport Science in Universitas Negeri Malang, Indonesia)
Authors: Pradhana R A , Pratama M M A , Santoso E , Karjanto A 
Published: November 2019

Abstract
Innovations to increase the effective height of storeys in buildings are using a flat slab system. Flat slab system is a slab that is only supported by columns without any supporting beam. By the abstain of beams, designers are able to reduce the storey height and to reduce the structural weight. Other than that, flat slabs offer a more flexible installation of building utilities, simpler reinforcement, and simpler installation of scaffolding and formwork. This study was conducted to analyse the performance of flat slabs when applied to buildings compared with the conventional slabs. The flat slab system is expected to be able to withstand gravity and earthquake loads. The Building of the Faculty of Sport Science, Universitas Negeri Malang, with a total of 7 floors and 1 semi-basement was used as research object. This research was conducted using programme simulation, ETABS and SAP2000. The research was intended to analyse the resulting seismic base shear, the fundamental period, the structural stiffness, the ultimate performance evaluation, and the storey drift if the building designed using flat slab system. Results showed that (1) Building with flat slab system has a lighter weight than the one with conventional slab system. Building weight affects the seismic base shear value of the building. The heavier a building is, the greater the seismic base shear value of a building; (2) The fundamental period analysis resulted the structural vibration time (Tc) in flat slab structure is greater than in the conventional slabs. The heavier the building weight, the structural vibration time (Tc) that occurs will be smaller; (3) The structural stiffness of building using flat slab system is less than in the conventional slabs system; (4) Both of building using flat slab system and conventional slabs meet the requirement of service performance and ultimate performance; and (5) The storey drift in building using flat slab system is larger than in the conventional slabs. This is due to the conventional slab structure has a greater stiffness than flat slab structure.
Numerical and experimental investigation on the shear resistance of functionally graded concrete (FGC) beams
Authors: Pratama M M A , Arifanda W , Karyadi K , Nindyawati N , Sulaksitaningrum R , Prayuda H 
Published: November 2019

Abstract
Functionally graded concrete (FGC) is one of the most innovative materials combining two or more different concrete strength in building elements to optimise the construction cost. Studies focussing on the behaviour of graded concrete in flexural strength have been conducted by several researchers, whilst the research on the shear behaviour of FGC beam has not been initiated yet. Investigation on the shear behaviour of RC graded concrete beam is necessary due to the fabrication process could create a cold-joint that lower the load-carrying capacity of the element. Delamination possibly presents on the casted concrete layer during the loading and turns the beam behaviour more brittle in action. To further investigate these hypotheses, a laboratory testing and a numerical analysis are conducted in this research. Three pieces of RC beams with an identical dimension of 120 x 240 x 2200 mm are prepared with the concrete strength of 20 MPa, 30 MPa, and 20-30 MPa. The specimens are then tested using a four-point bending method in the age of 28 days. A set of strain gauge is mounted in stirrups surface to record the strain response on each incremental load. To validate the result, the specimens are also modelled in three-dimension using Abaqus. The results show that there is a significant difference in the stress-strain curve resulted from the experimental works and the model simulation. It is due to the limitation of programme to model the real interaction between the rebars and the concrete. In reality, the presence of aggregate interlocking, concrete contribution in withstanding compression stress, dowel effect improves the shear resistance of beams. Additionally, the interfacial failure did not present during the testing owing to the support of stirrups that confine the transition zone of concrete layers.
Effects of segregation on reinforced concrete column, a numerical approach
Authors: Damayanthi W , Novitasari Y , Pratama M M A 
Published: November 2019

Abstract
Columns are parts of building members that are exposure by the risk of segregation due to the elements’ dimension ratio, characteristic of concrete mix, and the concrete casting method. The segregation will create a higher density of coarse aggregate in lower part of the columns and result non-uniform distribution of concrete strength along the columns’ height. In previous research, the segregation on RC column were proven to decrease the performance of the member in withstanding the working load. As a result, the resulting ultimate load decreased up to 4% compared to the normal column. The segregation also decreases the level of ductility of the column, which was supported by the decrease of top drift on the segregated column. The researchers also found that segregation on RC column could change the failure mechanism from tension-controlled failure to compression-controlled failure. The failure on segregated column was initially begun by the crushing of concrete on the compression fibre and followed by the yield of tensile rebar. On the normal column, on the other hand, the failure on was initially begun by the yield of tensile rebar and followed by crushing of concrete on the compression fibre. In this paper, researchers would like to investigate the behaviour of segregated RC column using numerical approach. The results showed that (1) the segregated column creates a linear drift pattern, while the normal column shows a graph with double curvatures at the ultimate condition; (2) the resulting stress contour showed a similar pattern in the segregated column and in the normal column, while the normal column could withstand working stress up to 25% higher than the segregated model; and (3) column drift from numerical analysis is more reliable than the experimental works as the experimental data only provided the reading of drift at two level of column height.
Numerical Simulation of Turboexpander on Organic Rankine Cycle with Different Working Fluids
Authors: Ismail Permana Diki , Sutikno Priyono 
Published: November 2019

Abstract
Renewable energy is an alternative to overcome the energy crisis and dependence on fossil-fuel energy that has an environmental impact due to the greenhouse effect. Meanwhile, disadvantage of EBT is depend on weather periodically. Geothermal is a source of EBT that is independent with weather. Geothermal resources dominated by water (brine) can’t be directly utilized as a power generated, but it has to separated into water and steam phase. The high enthalpy owned by brine can still be utilized due to development of Organic Rankine Cycle. ORC uses organic refrigerant fluids or hydrocarbons as a working fluid because it has low boiling temperatures. The numerical simulation was analyzed using a CFD ANSYS CFX with turbulence model K-epsilon and Pentane, R245fa, and butane as a working fluids with expansion ratio 5:1 and rotational speed variation at 2000 until 14000 rpm.
Characterization of Calcium Ferrite Phase from Fe2O3 and CaCO3 Based on Iron Sand and Limestone Using XRD and SEM-EDX Analysis
Authors: Mastuki  , Gatut P U , Brata A W , Istiawan A G , Aditya B , Masrufi H 
Published: November 2019

Abstract
Synthesis of Ca-Fe-O using coprecipitation method employing CaCO3 and Fe2O3 has been conducted. Extraction of limestone as the raw material of precipitated calcium carbonate (PCC) and iron sands as that of Fe2O3 was prepared to explore various compound of Ca-Fe-O. PCC and Fe2O3 are dissolved in HCl then mixed into homogeneous and precipitated using NH4OH. Mixing is resolved by the mass ratio of PCC and Fe2O3 with a ratio of 1/4, 1/6, 1/8, 1/12. The results of synthesis are sintering at temperature of 7000C. The sintered samples were characterized by XRD and SEM-EDX. The results of XRD is indicated the formation of Ca-Fe-O phases that is dominated by Ca2Fe2O5 and Ca2Fe9O13 phases, and results of SEM/EDX indicate nanoscale particle size that is composed of Ca, Fe, O, and Si elements.
Effect of water and seawater on mechanical properties of fiber reinforced polymer composites: a review for amphibious aircraft float development
Authors: Abdurohman K , Adhitya M 
Published: November 2019

Abstract
One of the composite applications is its utilize in the water and seawater environments like boats, ships and float device of amphibious aircraft. This environment can affect the mechanical properties of composites since water can diffuse into the composites. Many researches have discussed about the effect of water and seawater on mechanical properties of composites like tensile, compressive, shear, and impact properties. This review is conducted on the field of durability of composites in water and seawater environment. Most studies are carried out by immersing composites in water and seawater for a certain period of time. Almost all studies exhibit the degradation of the mechanical properties of composites with ageing time of the immersion process in water or seawater.
The Impact of Aging Time on Structure and Corrosion Resistance of Aluminum 2091 Lithium Alloy for Aerospace Application
Authors: Octavian Arya , Soegijono Bambang 
Published: November 2019

Abstract
In need of aerospace and automotive industries, the aluminum lithium alloy becomes a worldwide topic because of its corrosion resistance, hardness, and categorized as a lightweight material. This alloy has high resistance to corrosion due to doped alloying element, such as copper. Addition of lithium to aluminum alloys lowers its density. This paper was meant to study the impact of aging time at 190°C for 24 hours, 42 hours, and 72 hours on aluminum alloy crystal. The materials had solutionized at 525°C for 5 hours and had quenched at water before it was artificially aged. Besides corrosion resistance, the structure of this alloy are change as the aging times rise that caused by Al2Cu precipitation. To examine the electrochemical response of this material, potentiodynamic curves were obtained for aluminium lithium alloy 2091 during standard test in natural deaerated 3.5% wt and 7.0% wt NaCl solution after heat treatment. The structure after heat treatment were characterized by using X-ray diffraction. The results showed that aging time modified the structure and lead to change the electrochemical behaviour.
Effect of part orientation on dimensional accuracy, part strength, and surface quality of three dimensional printed part
Authors: Abdelrhman Ahmed M. , Wei Gan Wen , Kurniawan D. 
Published: November 2019

Abstract
Additive manufacturing such as fused deposition modelling (FDM) three dimensional printing machine can deliver complex shapes with fine details in relatively short building time using various materials (albeit mostly polymers in this case). However, the quality of the printed results might vary depending on the set input. The present study aims to investigate the effects of part orientation on dimensional accuracy, part strength, total cost, and surface quality of a three dimensional printed part. Five test specimens were printed on FDM machine with polylactic acid (PLA) as the material by varying the build orientation, i.e. X0°Y0°, X90°Y0°, X0°Y90°, X0°Y45°, and X90°Y45°. Dimensional accuracy, surface roughness, and part strength were measured by using digital vernier calliper, universal testing machine, and portable surface roughness tester, respectively. The results show that part orientation influences printed part quality, especially in accuracy and surface roughness. No part orientation studied delivered all positive quality expected, but overall, X0°Y0° orientation resulted the highest quality in terms of dimensional accuracy, mechanical properties, and cost.
Modification of TiO2 with hBN: high temperature anatase phase stabilisation and photocatalytic degradation of 1,4-dioxane
Authors: Byrne Ciara , Rhatigan Stephen , Hermosilla Daphne , Merayo Noemí , Blanco Ángeles , Michel Marie Clara , Hinder Steven , Nolan Michael , Pillai Suresh C 
Published: November 2019

Abstract
This paper examines the modification of anatase TiO2 with hexagonal boron nitride (hBN) and the impact this coupling has on the temperature of the anatase to rutile phase transition and photocatalytic activity. All samples were 100% anatase when calcined up to 500 °C. At 600 °C, all BN-modified samples contain mixed rutile and anatase phases, with 8% and 16% BN–TiO2 showing the highest anatase contents of 64.4% and 65.5% respectively. The control sample converted fully to rutile at 600 °C while the BN modified sample converted to rutile only at 650 °C. In addition to TiO2 phase composition, XRD also showed the presence of bulk boron nitride peaks, with the peak at 26° indicating the graphite-like hBN structure. Density functional theory calculations of hBN-rings adsorbed at the anatase (101) surface show strong binding at the interface; new interfacial bonds are formed with key interfacial features being formation of B–O–Ti and N–Ti bonds. Models of extended hBN sheets at the anatase (101) surface show that formation of B–O and N–Ti bonds along the edge of the hBN sheet anchor it to the anatase surface. 16% BN–TiO2 at 500 °C showed a significant increase in the photocatalytic degradation of 1,4-dioxane when compared with pure anatase TiO2 at 500 °C. This arises from the effect of hBN on anatase. The computed density of states (DOS) plots show that interfacing anatase with BN results in a red shift in the TiO2 energy gap; N-p states extend the valence band maximum (VBM) to higher energies. This facilitates transitions from high lying N-p states to the Ti-d conduction band. A simple photoexcited state model shows separation of electrons and holes onto TiO2 and BN, respectively, which promotes the photocatalytic activity.
An efficient approach based on multi-sources information to predict circRNA–disease associations using deep convolutional neural network
Authors: Wang Lei , You Zhu-Hong , Huang Yu-An , Huang De-Shuang , Chan Keith C C 
Published: November 2019

Abstract

Motivation
Emerging evidence indicates that circular RNA (circRNA) plays a crucial role in human disease. Using circRNA as biomarker gives rise to a new perspective regarding our diagnosing of diseases and understanding of disease pathogenesis. However, detection of circRNA–disease associations by biological experiments alone is often blind, limited to small scale, high cost and time consuming. Therefore, there is an urgent need for reliable computational methods to rapidly infer the potential circRNA–disease associations on a large scale and to provide the most promising candidates for biological experiments.

Results
In this article, we propose an efficient computational method based on multi-source information combined with deep convolutional neural network (CNN) to predict circRNA–disease associations. The method first fuses multi-source information including disease semantic similarity, disease Gaussian interaction profile kernel similarity and circRNA Gaussian interaction profile kernel similarity, and then extracts its hidden deep feature through the CNN and finally sends them to the extreme learning machine classifier for prediction. The 5-fold cross-validation results show that the proposed method achieves 87.21% prediction accuracy with 88.50% sensitivity at the area under the curve of 86.67% on the CIRCR2Disease dataset. In comparison with the state-of-the-art SVM classifier and other feature extraction methods on the same dataset, the proposed model achieves the best results. In addition, we also obtained experimental support for prediction results by searching published literature. As a result, 7 of the top 15 circRNA–disease pairs with the highest scores were confirmed by literature. These results demonstrate that the proposed model is a suitable method for predicting circRNA–disease associations and can provide reliable candidates for biological experiments.

Availability and implementation
The source code and datasets explored in this work are available at https://github.com/look0012/circRNA-Disease-association.

Supplementary information
Supplementary data are available at Bioinformatics online.
NeoFuse: predicting fusion neoantigens from RNA sequencing data
Authors: Fotakis Georgios , Rieder Dietmar , Haider Marlene , Trajanoski Zlatko , Finotello Francesca 
Published: November 2019

Abstract

Summary
Gene fusions can generate immunogenic neoantigens that mediate anticancer immune responses. However, their computational prediction from RNA sequencing (RNA-seq) data requires deep bioinformatics expertise to assembly a computational workflow covering the prediction of: fusion transcripts, their translated proteins and peptides, Human Leukocyte Antigen (HLA) types, and peptide-HLA binding affinity. Here, we present NeoFuse, a computational pipeline for the prediction of fusion neoantigens from tumor RNA-seq data. NeoFuse can be applied to cancer patients’ RNA-seq data to identify fusion neoantigens that might expand the repertoire of suitable targets for immunotherapy.

Availability and implementation
NeoFuse source code and documentation are available under GPLv3 license at https://icbi.i-med.ac.at/NeoFuse/.

Supplementary information
Supplementary data are available at Bioinformatics online.
Efficacy and safety of calcium carbonate in normophosphataemic patients with chronic kidney disease Stages 3 and 4
Authors: Neto Ricardo , Frazão João 
Published: November 2019

Abstract

Background
Disordered bone and mineral metabolism are a common complication of chronic kidney disease (CKD). Phosphate binders are often prescribed in advanced CKD, when hyperphosphataemia develops. Little is known about the role of these drugs in earlier stages, when serum phosphorus levels are kept in the normal range by increased urinary excretion.

Methods
A retrospective, controlled observational study was conducted on a cohort of 78 pre-dialysis patients. Subjects had CKD Stage 3 or 4, normal serum phosphorus levels and increased urinary fractional excretion of phosphate. Thirty-eight patients receiving calcium carbonate for 24 months were compared with 40 patients under no phosphate binders, regarding mineral metabolism parameters and vascular calcification scores.

Results
Calcium carbonate decreased mean urinary fractional excretion of phosphate and median 24-h urine phosphorus, whereas no significant change was seen in the control group. Mean serum phosphorus and median serum intact parathyroid hormone (iPTH) remained stable in treated patients but increased in the control group. Vascular calcification, assessed by Kauppila and Adragão scores, worsened under calcium carbonate with no significant change in the control group.

Conclusions
Calcium carbonate reduced urinary phosphate excretion and prevented the rise in phosphorus and iPTH serum levels in a cohort of normophosphataemic pre-dialysis patients. However, treatment was associated with increased vascular calcification, suggesting that calcium-based phosphate binders are not a safe option for CKD patients.