bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Recharge Area Potential of Upper Cisadane Watershed
Authors: Mahera Sugih , Murtilaksono Kukuh , Tarigan Suria D. 
Published: June 2020

Abstract
This research is being conducted on Upper Cisadane Watershed, Bogor, West Java Province. The aim of this research is to investigate the recharge area and analyze the recharge potential. The data consisted of infiltration rate, slope, soil type, and existing landuse as land unit approach which is collected by purposive sampling. Beside that, climate data were collected to estimate the evaporation. The analysis of the data use SCS-CN method to assess the volume of surface runoff, Penman-Monteith method to asseess the evaporation, and Water Balance Method to asseess the groundwater as the recharge potention. The recharge area would be classified into several areas into the highest to the lowest recharging area. The result of this study would be the total of groundwater fluxas the recharge potential based on each classified recharge area. The condition ofrecharge area could be one of the reasoning in develeoping the urban water system. The land with the good condition has surplus as ΔS=490,26 mm, and the critical one has deficit as ΔS=(-)543,49. The condition of the highest recharghing area would be analysed as the criteria of potential recharging area and the area should be managed well in the future. The condition of the lowest recharghing area would be restored depend on its problem.
Spatial interaction of groundwater and surface topographic using geographically weighted regression in built-up area
Authors: Mulyadi A , Dede M , Widiawaty M A 
Published: June 2020

Abstract
Groundwater is a primary water resource for human living. In Indonesia, excessive exploitation of groundwater generally occurs in the built-up area due to over-discharge processes characterized by a cone of depression. This research revealed the spatial interaction between groundwater levels and surface topographic using geographically weighted regression in built-up area. Groundwater levels data are obtained from 72 wells in Cikembang, Bandung Regency, whereas surface topographic based on BIG’s DEMNas data which has 8 meters spatial resolution. This study showed significant spatial interaction between groundwater levels and surface topographic in the built-up area. The interaction has a clustered pattern with p-value less than 0.01. It indicated in the area with flat surface topographic has lower groundwater levels than others. There are several points who indicated the cone of depression in the built-up area with flat topographic. The geographically weighted regression model has high spatial variability and better results than the global regression model to assess groundwater level interaction with surface topographic.
Big data: definition, characteristics, life cycle, applications, and challenges
Authors: Basim Alwan Hiba , Ku-Mahamud Ku Ruhana 
Published: June 2020

Abstract
Any data set contains large volumes of information and complex data is called Big Data (BD). BD is unlike other traditional data sets, so it requires special processing to manage it. BD faces many challenges starting from data capture through to the final results. BD exists in many subject areas such as business, governments, sciences, healthcare and transport. Thus it touches peoples’ lives in many aspects. BD is considered as the most important topic and requires good understanding in order to be fully utilized. This paper presents the basic information of BD which includes its properties and applications. Descriptions and examples of BD and its categories are elaborated upon. The BD architectural establishment is presented followed by the conclusion of the importance of BD.
Dengue Outbreak Prediction Using an Improved Salp Swarm Algorithm
Authors: Amalina Mohd Rosli Khairunnisa , Mustaffa Zuriani , Yusof Yuhanis , Farhan Mohamad Mohsin Mohamad 
Published: June 2020

Abstract
Dengue disease is the most common type of disease caused by mosquitoes. It is reported that dengue fever was first recognized in Thailand and Philippines in 1950. According to World Health Organization (WHO), dengue is a viral disease that spread in public environment where the number of dengue cases reported enlarge within 5 years by 1 million from 2.2 million in 2010 to 3.2 million in 2015. Until today, numerous studies by researchers to improve the prediction of dengue fever disease based on Computational Intelligence (CI) methods have been reported. The research includes study using Swarm Intelligence (SI) algorithm. This research study proposed an improved Salp Swarm Algorithm (iSSA) for dengue outbreak prediction. The original SSA will be enhanced by enriching the exploration and exploitation process for the sake of improving the accuracy of dengue outbreak prediction. This will be done by inducing a mutation based on Levy Flight. Later, the iSSA algorithm will be realized on dengue disease dataset. The proposed iSSA will be compared against the original SSA and another CI method known as Grey Wolf Optimization (GWO). Two evaluation indicators known Root Mean Square Error (RMSE) and as Mean Absolute Error (MAE) are proposed in this research study to evaluate the prediction model where the smaller the value obtained, more accurate the prediction model. The result demonstrated that the proposed model produces a better result compare two the other results where the value of MAE and RMSE of the proposed model is smaller compare to other two model.
Students’ Continuance of Using E-Learning System: A Review of Conceptual Frameworks
Authors: Rahman N S A , Rosman A N , Sahabudin N A 
Published: June 2020

Abstract
This research presented a review of conceptual framework regarded to find the factors of students’ continued use of online learning system. The outcomes were reported according to a systematic review on the recent research articles (from 2013 until 2019) related with continued use of e-Learning system. From review of theoretical models and related theories we recommend to use Unified Theory of Acceptance and Use of Technology (UTAUT) to measure students’ intention to continued use of e-learning system. The discussion of this research obtained revealed that the most common factors influence students’ intention to continued use e-learning are performance expectancy, effort expectancy, social, self-efficacy, perceived usefulness and behavioral intention to continued use.
Improvement of tribological characteristics of rubbing surfaces as one of ways to increase energy efficiency of power plants
Authors: Karelina M Yu , Pydrin A V , Gaidar S M , Vorontsov A S , Qeblawi L Y 
Published: June 2020

Abstract
In this study, the team of authors solves the problem of increasing the energy efficiency of power plants by reducing losses while lowering the coefficient of friction. This problem is solved with the help of a multifunctional additive to lubricating oils, which are a surface-active substance (surfactant) capable of changing the friction conditions of contacting surfaces in a small amount when introduced into tribological units. The tests were carried out on a friction machine II5018 on a block-roller friction pair (the material of the roller is gray cast iron SCh20, the material of the block is steel 65). During the study, the moment and coefficient of friction were determined. A friction coefficient decrease of up to 50 % was obtained, which proves the effectiveness of the proposed compositions.
Analysis of thermophysical properties of asphalt mixtures
Authors: Zorin V A , Baurova N I , Kosenko E A 
Published: June 2020

Abstract
The article describes the main stages of experimental design of thermophysical properties of asphalt mixtures. Based on the results experimental studies, we have constructed graphs showing the dependence of the cooling time of the asphalt concrete mixture on environmental conditions and the method of thermal insulation of the asphalt concrete mixture during its transportation. Thermograms of experimental samples clearly show the effectiveness of various methods of thermal insulation of asphalt concrete mixes. The choice of a regression model characterizing the dependence of the cooling time of an asphalt concrete mix on variable factors is substantiated.
Effect of pressure boost on the diesel performance and gaseous emission with fuel spray pressure up to 3000 bar
Authors: Shatrov Mikhail G. , Dunin Andrey Y , Nguyen Thin Quynh 
Published: June 2020

Abstract
The study presents the results of a single-cylinder engine modeling that assesses the effect of turbochargers on diesel performance and gaseous emission with the fuel injection pressure up to 3000 bar. 3D modeling is performed in Fire ESE Diesel. The results show that indicator power, soot, HC increase, and BSFC, NOx decrease when using turbochargers. The boost pressure increases from 1 to 3.5 bar, the indicator power and BSFC vary tremendous, while the boost pressure increases from 3.5 to 4.5 bar, the indicator power, and BSFC change slowly. Indicator power grows by 15 %, BSFC reduces 16.6 %, NOx value goes down by 85 % and soot value goes up by 92.9 %, the maximum value of HC goes up by 51.6 % with a boost pressure of 4.5 bar and SOI at 17° BTDC. When the SOI falls, BSFC reduces and the maximum value of this reduction is 6.4 %, while indicator power increases by 5.6 % with the boost pressure of 3.5 bar. NOx value goes down by 70.3 % and soot value goes up by 88.6 % with the boost pressure of 4.5 bar. With the SOI of 5° BTDC, the turbocharging pressure from 2.5 to 4.5 bar, gaseous emissions meet the EURO V standard without the use of exhaust gas after-treatment systems.
Strain-rate-dependent model for the elastoplastic dynamic contact of sphere and plate
Authors: Jin Tengfei , Yin Xiaochun , Zhang Lin , Wang Hui , Yu Bo , Hao Qiming 
Published: June 2020

Abstract
A force-indentation contact model is presented for the dynamic contact loading of elastoplastic particle and plate to incorporate the material’s strain-rate-dependent plasticity, built theoretically from the well-known Hertz contact law and Hill’s solution for elastic and elastoplastic quasi-static contacts. A theoretical relation of the relative impact velocity and plastic strain rate is introduced to solve the model’s parameters. A Johnson–Cook strain rate dependence is included into the model to consider dynamic effects. We validate the model using finite element analysis and show that the model can accurately simulate the force-indentation relation. The impact responses of plate simulated by applying the model combined with a substructure technique are validated using finite element analysis and laboratory test. With the aid of the model, a significant decrease in contact pressure during fully plastic indentation and the independence of dynamic contact-loading path upon loading rate are observed.
Interaction of xanthan gums with galacto- and glucomannans. Part II: Heat induced synergistic gelation mechanism and their interaction with salt
Authors: Ghebremedhin Marta , Schreiber Christine , Zielbauer Birgitta , Dietz Natalie , Vilgis Thomas A 
Published: June 2020

Abstract
In this study the heat induced synergistic gelation of different hydrocolloid solutions, xanthan gum types (XG) in mixture with galactomannans like guar gum (GG), locust bean gum (LBG) and konjac glucomannan (KGM) is investigated. The physical mechanism of the synergy in thickening and gelling of blends depends on the monomer structure, the molecular weight, the charge, the polarity, and the chain stiffness of the hydrocolloids. Particularly the properties of the electrically neutral galacto- and glucomannans mixed in combination with xanthan gum strongly affect the synergistic effects. These are influenced by the number and distribution of mannan side chains and thus their flexibility. While the pure components do not show gelation on their own, they form viscoelastic solutions or even gels when mixed together and heated. In this study, rheological properties of the resulting composite gels of 0.5% (w/w) were examined under different physicochemical and thermal conditions. Focus was laid on thermally induced gels, as these gels showed higher synergistic effects compared to the non-heated ones. The gelation mechanisms were investigated by strain and temperature dependent oscillatory rheological measurements. Blends with XG-GG (20:80) showed the weakest synergism, followed by XG-LBG blends (20:80), whereas XG-KGM (60:40) blends showed the highest increase of the storage modulus. This can be explained by different local interactions in combinations with the flexibility of the various components. Furthermore, the impact of monovalent salt on the interactions was investigated. Addition of sodium chloride at 0.05% and 0.5% (w/w) concentrations influenced the gelling due to Coulomb screening of the negative charges of XG. Consequently, the synergism, in particular the storage modulus, is strongly affected by variation in salt concentration. We propose specific models based on the gel formation in case of XG-LBG and XG-KGM blends, whereas XG-GG shows an entropic phase separation due to flexibility of GG.
MXene for energy storage: present status and future perspectives
Authors: Das Pratteek , Wu Zhong-Shuai 
Published: June 2020

Abstract
MXene is rising as a versatile two-dimensional material (2DM) for electrochemical energy storage devices. MXene has boosted the performance of supercapacitors thanks to its pseudocapacitive charge storage mechanism with electric double layer behavior. Further, MXene has helped batteries achieve high capacity while endowing fast charge-discharge by virtue of its suitable interlayer spacing and unique chemistry. Such achievements are a result of MXene’s intrinsic properties like high electrical conductivity, defined layered structure and ability to sustain customizations, tailoring the electrodes towards a specific target. Not only that, MXene has showcased its merits by enabling supercapacitors and batteries to surpass the convention and venture into the territory of micro-supercapacitors (MSCs), hybrid capacitors and batteries beyond Li-ion. Herein, we present a topical review discussing the present status of MXene-based energy storage devices and corresponding challenges. By rational analysis, we also provide some key avenues for further research that may help overcome these shortcomings and enable this family of MXene materials attain its full potential.
Effects of Acute Alcohol Consumption on Food Intake and Pictorial Stroop Response to High-Calorie Food Cues
Authors: Adams Sally , Wijk Elise 
Published: June 2020

AbstractAimsWe examined (a) the effect of an acute dose of alcohol on the consumption of energy-dense food and (b) on cognitive bias towards high-energy-dense food cues and (3) whether the effect of an acute dose of alcohol on the consumption of energy-dense food would be mediated by cognitive bias towards high-energy-dense food cues.MethodsHeavy social drinkers (n = 40) abstained from drinking for 12 hours before testing. On the test day, participants completed pre-challenge measures of alcohol and food craving, and cognitive bias towards alcohol in a placebo-controlled, double-blind design. Participants performed post-challenge measures of alcohol and food craving, ad lib energy-dense food consumption and cognitive bias.ResultsWe did not observe any of the hypothesized interactions between challenge condition, consumption of energy-dense food and cognitive bias towards high-energy-dense food cues.ConclusionsOur data suggest that acute alcohol consumption does not influence the consumption of energy-dense food or cognitive bias towards high-energy-dense food cues. These findings may reflect that alcohol does not increase the appetitive value of food and food-related cues or that the measures used in this study were not sensitive to detect an effect. Further research is required to determine whether alcohol at higher doses and/or food cues that are frequently paired with alcohol intake stimulates changes in food intake and the reward value of food cues.
Integrative pharmacological mechanism of vitamin C combined with glycyrrhizic acid against COVID-19: findings of bioinformatics analyses
Authors: Li Rong , Wu Ka , Li Yu , Liang Xiao , Lai Keng Po , Chen Jian 
Published: June 2020

AbstractObjectiveCoronavirus disease 2019 (COVID-19) is a fatal and fast-spreading viral infection. To date, the number of COVID-19 patients worldwide has crossed over six million with over three hundred and seventy thousand deaths (according to the data from World Health Organization; updated on 2 June 2020). Although COVID-19 can be rapidly diagnosed, efficient clinical treatment of COVID-19 remains unavailable, resulting in high fatality. Some clinical trials have identified vitamin C (VC) as a potent compound pneumonia management. In addition, glycyrrhizic acid (GA) is clinically as an anti-inflammatory medicine against pneumonia-induced inflammatory stress. We hypothesized that the combination of VC and GA is a potential option for treating COVID-19.MethodsThe aim of this study was to determine pharmacological targets and molecular mechanisms of VC + GA treatment for COVID-19, using bioinformational network pharmacology.ResultsWe uncovered optimal targets, biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of VC + GA against COVID-19. Our findings suggested that combinatorial VC and GA treatment for COVID-19 was associated with elevation of immunity and suppression of inflammatory stress, including activation of the T cell receptor signaling pathway, regulation of Fc gamma R-mediated phagocytosis, ErbB signaling pathway and vascular endothelial growth factor signaling pathway. We also identified 17 core targets of VC + GA, which suggest as antimicrobial function.ConclusionsFor the first time, our study uncovered the pharmacological mechanism underlying combined VC and GA treatment for COVID-19. These results should benefit efforts to address the most pressing problem currently facing the world.
Intragenic and structural variation in the SMN locus and clinical variability in spinal muscular atrophy
Authors: Wadman Renske I , Jansen Marc D , Stam Marloes , Wijngaarde Camiel A , Curial Chantall A D , Medic Jelena , Sodaar Peter , Schouten Jan , Vijzelaar Raymon , Lemmink Henny H , van den Berg Leonard H , Groen Ewout J N , van der Pol W Ludo 
Published: June 2020

Abstract
Clinical severity and treatment response vary significantly between patients with spinal muscular atrophy. The approval of therapies and the emergence of neonatal screening programmes urgently require a more detailed understanding of the genetic variants that underlie this clinical heterogeneity. We systematically investigated genetic variation other than SMN2 copy number in the SMN locus. Data were collected through our single-centre, population-based study on spinal muscular atrophy in the Netherlands, including 286 children and adults with spinal muscular atrophy Types 1–4, including 56 patients from 25 families with multiple siblings with spinal muscular atrophy. We combined multiplex ligation-dependent probe amplification, Sanger sequencing, multiplexed targeted resequencing and digital droplet polymerase chain reaction to determine sequence and expression variation in the SMN locus. SMN1, SMN2 and NAIP gene copy number were determined by multiplex ligation-dependent probe amplification. SMN2 gene variant analysis was performed using Sanger sequencing and RNA expression analysis of SMN by droplet digital polymerase chain reaction. We identified SMN1–SMN2 hybrid genes in 10% of spinal muscular atrophy patients, including partial gene deletions, duplications or conversions within SMN1 and SMN2 genes. This indicates that SMN2 copies can vary structurally between patients, implicating an important novel level of genetic variability in spinal muscular atrophy. Sequence analysis revealed six exonic and four intronic SMN2 variants, which were associated with disease severity in individual cases. There are no indications that NAIP1 gene copy number or sequence variants add value in addition to SMN2 copies in predicting the clinical phenotype in individual patients with spinal muscular atrophy. Importantly, 95% of spinal muscular atrophy siblings in our study had equal SMN2 copy numbers and structural changes (e.g. hybrid genes), but 60% presented with a different spinal muscular atrophy type, indicating the likely presence of further inter- and intragenic variabilities inside as well as outside the SMN locus. SMN2 gene copies can be structurally different, resulting in inter- and intra-individual differences in the composition of SMN1 and SMN2 gene copies. This adds another layer of complexity to the genetics that underlie spinal muscular atrophy and should be considered in current genetic diagnosis and counselling practices.
An unusual case of severe myocarditis in a genetic cardiomyopathy: a case report
Authors: Popa Miruna-Andreea , Klingel Karin , Hadamitzky Martin , Deisenhofer Isabel , Hessling Gabriele 
Published: June 2020

Abstract

Background
Myocarditis is an inflammatory disease of the myocardium caused by infectious pathogens, immune-mediated conditions, or toxic agents. This report explores a rare case of severe myocarditis occurring in an inherited cardiomyopathy.

Case summary
A 24-year-old female patient presented with progressing dyspnoea and chest discomfort. Echocardiography and cardiac magnetic resonance imaging revealed dilated cardiomyopathy (DCM) with severe biventricular dysfunction [left ventricle ejection fraction (LV-EF) 10%]. Myocardial inflammation was suspected due to extensive subendocardial to transmural late gadolinium enhancement. Endomyocardial biopsy (EMB) showed severe chronic lymphocytic myocarditis. As inflammatory DCM was assumed, immunosuppressive therapy with prednisolone was initiated in addition to standard heart failure therapy. Endomyocardial biopsy after 3 months showed resolving inflammation. However, a marked architectural disarray observed in all biopsies raised the suspicion of an inherited cardiomyopathy. Genetic testing revealed a de novo mutation with effect on splicing of lysosome-associated membrane protein 2, as found in Danon disease. Periodic acid–Schiff (PAS) staining confirmed a glycogen storage disorder. Immunosuppressive therapy was intensified due to reactivation of myocardial inflammation and led to improvement of LV-EF and to significant symptom relief over a 16-month follow-up period.

Discussion
This is the first report of Danon disease initially presenting as a severe myocarditis. It illustrates the clinical value of EMB for diagnosis and immunosuppressive therapy monitoring in chronic myocarditis. Increasing evidence suggests that myocardial inflammation may modify disease progression and prognosis in inherited cardiomyopathies. The causal role of cardiac protein mutations in the pathophysiology of myocarditis remains to be determined.