bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical investigation of HSC column under axial and flexural loading using 3D-NLFEA
Authors: Pradnyanita P , Piscesa B , Attard M M , Faimun  , Samani A K 
Published: November 2020

Abstract
High strength concrete (HSC) has been widely used as material for Reinforced Concrete (RC) column in high rise building in the past two decades. However, ductility of HSC column was one of the main concerns in design. The ductility of HSC column is much lower compared to normal-strength concrete. To increase the ductility of HSC column, the use of adequate transverse reinforcement can be used. In this paper, numerical investigation of HSC column available in the literature is modelled using an inhouse finite element package called 3D-NLFEA. The modelled specimen consisted of HSC columns with dimension 305 m x 305 m x 1473 mm and is subjected to constant axial load and incremental displacement control which act as a shear load up to failure. From the comparisons with the available test results, it was found out that the prediction using 3D-NLFEA agrees well with the test results. This paper also discusses the yield point location of bars in the load-deflection curve, length of bar that yields, buckling of compression bar, and concrete which cracked or crushed.
Demand analysis at Tanah Grogot Airport East Kalimantan
Authors: Suharso A B K , Ahyudanari E 
Published: November 2020

Abstract
Tanah Grogot Airport is an airport proposed by the Paser Regency Regional Government to facilitate the people’s movement. During this time, the people of Paser Regency have to travel long distances with long travel time between regions. The airport‘s presence is expected to be able to have shorter travel time between regions because the transportation access between regions is already equipped with air transportation. If there are people or foreign tourists who want to travel quickly, they can use air transportation at this airport. Thus, it is necessary to analyze whether Tanah Grogot Airport has sufficient demand, which will affect the continuity of the airport‘s operations. The analysis in this research considers the following variables, i.e., the land and air accessibility based on travel time, vehicle operating costs, the flight network, market share value, and analysis of demand from the existing airports to Tanah Grogot Airport. The method uses stated preference and binary logistic regression. The outcome of this research is the estimation of demand at Tanah Grogot Airport East Kalimantan.
Student satisfaction with the performance of Surabaya school buses
Authors: Lincoln M C P , Widyastuti H 
Published: November 2020

Abstract
School transportation facilities in the city of Surabaya are increasingly being upgraded to serve the needs of education. In 2019, there have been 7 School Bus units operating in several points in South, East, North and West Surabaya. The addition of this mode is intended to fulfill and facilitate the journey of the citizens of Surabaya to school; in addition, to reduce the number of students using private vehicles to school. However, to find out the interests of school bus users, it is necessary to know the performance of school bus services and passenger satisfaction. This study aims to measure the performance and service of school buses, as well as the level of student satisfaction. Data collection in this study uses several methods, namely questionnaire survey, observations and interviews. The data were analyzed using two methods, namely descriptive analysis with standard public service calculations and the Importance Performance Analysis method. Based on the results of the analysis, the performance of the Surabaya School Bus was categorized as “Good”. At the level of satisfaction, there are 5 attributes considered important, 7 attributes have good performance, 1 attribute is not prioritized, and 3 attributes have good performance but are not considered important.
The real operational cost for managing Semarang river polder drainage system
Authors: Hartawan F , Wahyudi S I 
Published: November 2020

Abstract
To resolve tidal flood and flooding problem, the Semarang city government has made various efforts such as building reservoirs in the upstream area, normalizing the rivers, developing polder drainage systems, and preventing sea water intrusion by building sea dike and river embankments. The method is quite effective to prevent the occurrence of rob (tidal flood), but water from the upstream area cannot flow by gravity to the sea. Water flows from upstream through the canals into a retention pond, and then pumping it into the sea. The Semarang River drainage polder system consists of some rivers (Semarang River, Asin River, Baru River), Retention Pool and Pump Station at the mouth of the Semarang River. Sustainability of the polder system requires an effective system of operation and maintenance. This study aims to determine the real need cost for a good operation of the Polder Drainage System. The research method used is quantitative description analysis. Data collection techniques using interviews, observation, and document review. The result show that budget component consists of fuel consumption, electricity, lubricants, spare parts, services, and inspection step. The difference in the amount of financing each year is due to fluctuations in rainfall intensity per month, the combination power supply by electricity and generator.
The analysis of water balanced in Bendo Reservoir using Dynamic System
Authors: Margini N F , Anwar N , Wardoyo W 
Published: November 2020

Abstract
This research was conducted to analyze balancing the storage capacity of the Bendo Reservoir with the quantity of water needed. Bendo Reservoir located in Nginden Sawo Village, Ponorogo Regency is one of the multipurpose reservoirs in Indonesia designed for irrigation, water supply, and simultaneously hydroelectric power. The water available is observed to be decreasing along with climate change, thereby, requiring an appropriate reservoir operational system. Several methods have been designed to achieve this purpose through the use of vast and complex variables but this study used a Dynamic Systems approach for analysis. Hhowever, involved the use of two scenarios in the simulation model to obtain the most optimum results. A period of 5 years was simulated and the result showed water shortage started in the 54th month for scenario 2, 49th month for scenario 1, and 46th month for the base model. Therefore, means scenario 2 has the most optimum conditions and recommended as the appropriate solution for Bendo Reservoir water distribution.
T
1-mapping and dielectric properties evaluation of a 3D printable rubber-elastomeric polymer as tissue mimicking materials for MRI phantoms
Authors: Talalwa Lotfi , Natour Ghaleb , Bauer Andreas , Drzezga Alexander , Gordji-Nejad Ali , Beer Simone 
Published: November 2020

Abstract
In this study, a new series of 3D printable rubber-elastomeric polymer called PORO-LAY materials have been investigated regarding their suitability to serve as tissue mimicking materials (TMMs) for MRI phantoms. PORO-LAY materials have been previously used in biofuel cell developments, particle filtrations and modeling elastic tissues. We evaluated the electrical permittivity, electrical conductivity, spin-lattice T
1-relaxation time and acquired the MRI contrast for simple and multi-material complex 3D printed shapes made of PORO-LAY materials at 3.0 T. The results showed a T
1 diversity within PORO-LAY materials, which reveals in different MR image contrasts. The outcome favors PORO-LAY as an appropriate candidate that can be used in multi-materials additive manufacturing to produce realistic shapes such as white/grey matter structures for MRI phantoms with visible clear contrast. Finally, this study could serve as a reference and guideline when using these materials as tissue mimicking materials for different types of human body tissues and provide a promising opportunity to design novel phantoms for a wide range of MRI applications.
Effect of pore morphology and surface roughness on wettability of porous titania films
Authors: Xiong Bangyun , Li Jingjing , He Chunqing , Tang Xiuqin , Lv Zizhao , Li Xiaofeng , Yan Xiqiang 
Published: November 2020

Abstract
Surface hydrophobicity/hydrophilicity of titania (TiO2) films, spin-coated on silicon wafers, were tuned by introducing surface mesopores with various morphologies using a triblock copolymer F38 as the template agent of different weight ratios via a sol-gel method. It is found that both the porosity (2.92 ∼ 33.03%) and the surface roughness (0.22 ∼ 0.43 nm for arithmetic mean roughness and 0.28 ∼ 0.58 nm for root mean square roughness) of the films increase monotonically as increasing F38 ratio from 5 to 25 wt%, accompanied by distinct changes of pore morphology from isolated mesopores with pore sizes of 5 ∼ 7 nm to longer worm-like pores (30 ∼ 100 nm in length). The apparent static contact angle (θ*) of the films with isolated mesopores is enhanced from ca. 90.6° to 100.1° as indicated by an increase of the roughness factor with incresing F38 from 5 to 15 wt%, which is in qualitative agreement with the Wenzel’s equation. Interestingly, the films with interconnected worm-like pores show obvious hydrophilicity (θ* = 80.7°) with further increasing F38 ratio higher than 20 wt%. The reversed surface wettability show that not only surface roughness but also pore morphology could significantly affect the wettability of the mesoporous TiO2 films.
RF heating in cavity-bellows of CW SRF cryomodule
Authors: Saini A , Lunin A , Solyak N , Sukhanov A , Yakovlev V 
Published: November 2020

Abstract
In a cryomodule, bellows are commonly used to connect two adjacent superconducting cavities. It provides cavities a mechanical flexibility facilitating for thermal contraction or expansion during temperature transitions. While heat from superconducting cavities are removed from helium flowing through their jackets, non-superconducting bellows are cooled down through a relatively slow process of conduction cooling by adjacent superconducting cavities. An excessive heat deposition to the bellows could results in unsustainable rise in temperature that could lead to a thermal runaway. Because of the bellows proximity to the superconducting cavities, resulting thermal runaway could disrupt performance of the cavities and therefore, overall operation. For this reason, the paper presents a comprehensive assessment of RF heating resulting from most potent dynamic heating mechanisms in the interconnecting cavity bellows of 1.3 GHz, continuous wave, cryomodule of the Linac Coherent Light Source-II linear accelerator. Studies are performed for two types of the bellows surfaces i.e. stainless-steel and copper. The results show that RF heating at stainless-steel surface is about four times higher than at copper surface. In this work we also develop a simplified analytical model to analyse the bellows surface temperature growth resulting from RF heating. The model shows a good agreement with numerical analysis and indicates a temperature growth of up to 70 K in stainless-steel bellows in the steady state. Calculations also show that a thin copper coating of 15 μm on stainless-steel surface not only reduces RF heating but also confines the temperature growth well within 10 K. The studies presented here attribute practical importance guiding to characterize copper coating requirements for non-superconducting components in a cryomodule and allowing to model a more relevant cryogenic heat load budget accounting for bellows heating.
Computational drug repositioning based on multi-similarities bilinear matrix factorization
Authors: Yang Mengyun , Wu Gaoyan , Zhao Qichang , Li Yaohang , Wang Jianxin 
Published: November 2020

AbstractWith the development of high-throughput technology and the accumulation of biomedical data, the prior information of biological entity can be calculated from different aspects. Specifically, drug–drug similarities can be measured from target profiles, drug–drug interaction and side effects. Similarly, different methods and data sources to calculate disease ontology can result in multiple measures of pairwise disease similarities. Therefore, in computational drug repositioning, developing a dynamic method to optimize the fusion process of multiple similarities is a crucial and challenging task. In this study, we propose a multi-similarities bilinear matrix factorization (MSBMF) method to predict promising drug-associated indications for existing and novel drugs. Instead of fusing multiple similarities into a single similarity matrix, we concatenate these similarity matrices of drug and disease, respectively. Applying matrix factorization methods, we decompose the drug–disease association matrix into a drug-feature matrix and a disease-feature matrix. At the same time, using these feature matrices as basis, we extract effective latent features representing the drug and disease similarity matrices to infer missing drug–disease associations. Moreover, these two factored matrices are constrained by non-negative factorization to ensure that the completed drug–disease association matrix is biologically interpretable. In addition, we numerically solve the MSBMF model by an efficient alternating direction method of multipliers algorithm. The computational experiment results show that MSBMF obtains higher prediction accuracy than the state-of-the-art drug repositioning methods in cross-validation experiments. Case studies also demonstrate the effectiveness of our proposed method in practical applications. Availability: The data and code of MSBMF are freely available at https://github.com/BioinformaticsCSU/MSBMF. Corresponding author: Jianxin Wang, School of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, P. R. China. E-mail: jxwang@mail.csu.edu.cn Supplementary Data: Supplementary data are available online at https://academic.oup.com/bib.
Quantification of spatial tumor heterogeneity in immunohistochemistry staining images
Authors: Chervoneva Inna , Peck Amy R , Yi Misung , Freydin Boris , Rui Hallgeir 
Published: November 2020

Abstract

Motivation
Quantitative immunofluorescence is often used for immunohistochemistry quantification of proteins that serve as cancer biomarkers. Advanced image analysis systems for pathology allow capturing expression levels in each individual cell or subcellular compartment. However, only the mean signal intensity within the cancer tissue region of interest is usually considered as biomarker completely ignoring the issue of tumor heterogeneity.

Results
We propose using immunohistochemistry image-derived information on the spatial distribution of cellular signal intensity (CSI) of protein expression within the cancer cell population to quantify both mean expression level and tumor heterogeneity of CSI levels. We view CSI levels as marks in a marked point process of cancer cells in the tissue and define spatial indices based on conditional mean and conditional variance of the marked point process. The proposed methodology provides objective metrics of cell-to-cell heterogeneity in protein expressions that allow discriminating between different patterns of heterogeneity. The prognostic utility of new spatial indices is investigated and compared to the standard mean signal intensity biomarkers using the protein expressions in tissue microarrays incorporating tumor tissues from 1000+ breast cancer patients.

Availability and Implementation: The R code for computing the proposed spatial indices is included as supplementary material

Supplementary information
Supplementary data are available at Bioinformatics online.
Identification of Chemopreventive Components from Halophytes Belonging to Aizoaceae and Cactaceae Through LC/MS—Bioassay Guided Approach
Authors: Hamed Ahmed R , El-Hawary Seham S , Ibrahim Rana M , Abdelmohsen Usama Ramadan , El-Halawany Ali M 
Published: November 2020

Abstract
Six halophytes, namely, Aptenia cordifolia var. variegata, Glottiphyllum linguiforme, Carpobrotus edulis, Ferocactus glaucescens, F. pottsii and F. herrerae were investigated for chemopreventive effect. Prioritization of most promising plant for further investigation was carried out through an integrated liquid chromatography–high resolution electrospray ionization mass spectrometry profiling—bioassay guided approach. NAD(P)H: quinone oxidoreductase-1 (NQO-1) induction in cultured murine hepatoma cells (Hepa-1c1c7) and inhibition of nitric oxide (NO) production in lipopolysaccharide-activated macrophages (RAW 264.7) were carried out to investigate chemopreventive effect. Bioassay data revealed that F. herrerae, A. cordifolia, C. edulis and F. glaucescens were the most active with 2-, 1.7-, 1.6- and 1.5-folds induction of NQO-1 activity. Only F. glaucescens exhibited &gt;50% inhibition of NO release. LCMS profiling of the F. glaucescens revealed its high content of flavonoids, a known micheal acceptor with possible NQO-1 induction, as proved by quantitative high-performance liquid chromatography analysis. Thus, the extract of F. glaucescens was subjected to chromatographic fractionation leading to the isolation of four compounds including (i) 2S-naringenin, (ii) trans-dihydrokaempferol (aromadendrin), (iii) 2S-naringenin-7-O-β-d-glucopyranoside and (iv) kaempferol-7-O-β-d-glucopyranoside (populnin). The current study through an LCMS dereplication along with bio guided approach reported the activity of populnin as NO inhibitor and NQO-1 inducer with promising chemopreventive potential.
Optimal Feature Selection and Hybrid Classification for Autism Detection in Young Children
Authors: Guruvammal S , Chellatamilan T , Deborah L Jegatha 
Published: November 2020

Abstract
The early detection of autism spectrum disorder acts as a risk in the infants and toddlers as per the increase over the early invention awareness. Hence, this paper has made an effort to introduce a new autism detection technique in young children, which poses three major phases called weighted logarithmic transformation, optimal feature selection and classification. Initially, weighted transformation in the input data is carried out that correctly distinguishes the interclass labels, and it is determined to be the specified features. Because of the presence of numerous amounts of features, the ‘prediction’ becomes a serious issue, and therefore the optimal selection of features is important. Here, for optimal feature selection process, a new Levi Flight Cub Update-based lion algorithm (LFCU-LA) is introduced that can be a modification in lion algorithm. Once the optimal features are selected, they are given to the classification process that exploits a hybrid classifier: deep belief network (DBN) and neural network (NN). Additionally, the most important contributions in the hidden neurons of DBN and NN were optimally selected that paves way for exact detection.
Cephalometric effects of Pushing Splints 3 compared with rapid maxillary expansion and facemask therapy in Class III malocclusion children: a randomized controlled trial
Authors: Galeotti Angela , Martina Stefano , Viarani Valeria , Franchi Lorenzo , Rongo Roberto , D’Antò Vincenzo , Festa Paola 
Published: November 2020

Summary

Background
Pushing Splints 3 (PS3) device was recently introduced for the treatment of Class III malocclusion in children.

Objectives
To assess the effect on the sagittal maxillary position (SNA, primary outcome) of PS3 therapy compared with rapid maxillary expansion and facemask therapy (RME/FM) and to compare skeletal and dento-alveolar effects in growing Class III patients.

Trial design
This trial was a single-centre randomized controlled trial with two groups randomly allocated in a 1:1 ratio of equal size by sealed-envelope randomization, conducted at the Dentistry Unit of Bambino Gesù Children’s Hospital, IRCCS (Rome, Italy).

Methods
A total of 48 patients with Class III malocclusion were included in the study and randomly allocated to the two groups: PS3 therapy and RME/FM therapy. Only the RME/FM group underwent palatal expansion, and both groups were instructed to wear the appliances 14 hours/day. Pre- (T0) and post-treatment (T1) cephalograms were taken. An independent sample t-test and regression analysis were used to analyse the data (P value &lt;0.05). Researchers involved in statistics and tracings were blinded to the treatment allocation.

Results
A total of 42 patients (21 for each group) completed the study. The maxillary sagittal position improved similarly in both groups (SNA = 0.4°; P = 0.547). A statistically significant decrease of SNPg angle (−1.6°; P &lt; 0.001) and increase of ANPg angle (1.4°; P = 0.018) were found in the RME/FM group compared with PS3 group. CoGoMe angle significantly decreased in RME/FM group compared with PS3 group (−1.7°; P = 0.042). The regression analysis showed an association between SN/MP angle at T0 and the differences between T1 and T0 of SNPg (B = 0.13; P = 0.005) and SN/MP (B = −0.19; P = 0.034). Only three patients (PS3 = 2; RME/FM = 1) had breakages of the devices.

Limitations
Results are limited to short-term effects.

Conclusion
RME/FM therapy and PS3 are both effective therapies for the early correction of Class III malocclusion. The PS3 controlled better mandibular divergency reducing the clockwise rotation in patients with higher mandibular inclination.

Registration
This study was not registered in a clinical trial registry.
Multi-species relationships in legume roots: From pairwise legume-symbiont interactions to the plant – microbiome – soil continuum
Authors: Tsiknia Myrto , Tsikou Daniela , Papadopoulou Kalliope K , Ehaliotis Constantinos 
Published: November 2020

ABSTRACTMutualistic relationships of legume plants with, either bacteria (like rhizobia) or fungi (like arbuscular mycorrhizal fungi), have been investigated intensively, usually as bi-partite interactions. However, diverse symbiotic interactions take place simultaneously or sequentially under field conditions. Their collective, but not additive, contribution to plant growth and performance remains hard to predict, and appears to be furthermore affected by crop species and genotype, non-symbiotic microbial interactions and environmental variables. The challenge is: (i) to unravel the complex overlapping mechanisms that operate between the microbial symbionts as well as between them, their hosts and the rhizosphere (ii) to understand the dynamics of the respective mechanisms in evolutionary and ecological terms. The target for agriculture, food security and the environment, is to use this insight as a solid basis for developing new integrated technologies, practices and strategies for the efficient use of beneficial microbes in legumes and other plants. We review recent advances in our understanding of the symbiotic interactions in legumes roots brought about with the aid of molecular and bioinformatics tools. We go through single symbiont-host interactions, proceed to tripartite symbiont-host interactions, appraise interactions of symbiotic and associative microbiomes with plants in the root-rhizoplane-soil continuum of habitats and end up by examining attempts to validate community ecology principles in the legume-microbe-soil biosystem.