bluuebunny/crossref_metadata_2025_split huggingface dataset:
Google earth engine application for estimating changes in water surface area of Lake Toba
Authors: Aziz F , Kusratmoko E , Manessa M D M 
Published: July 2020

Abstract
The change in the water surface area is essential to be studied as it can affect ecosystem health and function of lakes to meet human needs. The use of remote sensing techniques is to analyze such changes in the Lake Toba is considered effective and efficient ways in terms of time and cost, moreover the application of Google Earth Engine (GEE) as an internet-based data processing platform (cloud computing) that provides various kinds of free satellite image data can simplify the process. In this study, the author aims to estimate the rate of change in the surface water area of Lake Toba in four periods, that are the period of 1990 – 1997, 1998 – 2004, 2005 – 2012, and 2013 – 2018, by using Landsat 5 TM and 8 OLI/TIRS imagery. Cloud masking methods is used to obtain cloud-free images and then using CART method in making land cover maps. After that, calculating the accuracy of CART method by using the confusion matrix to determine the Cohen’s Kappa coefficient value. The results of this study show that the highest lake surface water area is in the period of 1990 - 1997 within the area of 1133.88 km2, and the lowest one is in the periode of 1998 - 2004 within the area of 1119.20 km2. The correlation of land cover classes with a surface water area of Lake Toba shows that the open land has high correlation value of -0.77.
Karst imaging of Mangkalihat in East Kalimantan; insight from Landsat OLI 8, DEMNAS and field investigation
Authors: Agustin F. , Faturrohman M.L. , Rijani S. , Maryanto S. 
Published: July 2020

Abstract
Karst is one of the typical of landscape which is formed by soluble rock and mineral formation such as limestones, dolomites, gypsum, anhydrites and others types that have the same chacateristic. Based on Permen ESDM 17/2012, Karst Landform Area has two main function; conservation and development area. Mangkalihat Karst has some critical issues both on conservation and sustainable utilisation of its resources. We aim to delineate karst landform and other limestones formation in the area. Using DEMNAS-based combined with the multispectral imagery from Landsat OLI 8, we were able to delineate the karst area according to visual interpretation on karst morphology. Mangkalihat Karst presents as half-circular morphology consists of Tendehantu Hills in the west and Mangkalihat Hills in the east. The stratification of limestones formation has been clearly visible on image structured parallel strike with the arc. The slope is very steep (more than 45%) and it is densely vegetated areas. To the north, karst morphology formed undulated karst hills as slope average ranging from very steep to moderate. Scattered conical hills were identified as a result of surface karstification. However, drainage pattern had not clearly formed in karst landscape, they were formed subsurface. Tendehantu Formation (Tmt) is the main rock formation in the Mangkalihat Karst. Field investigation indicated that Tendehantu Formation (Tmt) is composed by coral limestones, white to light yellowish in color, well bedded and depsited during Middle Miocene in shallow marine (neritic zone). Caves and subsurface rivers had been identified in the area as a manifestation of endogenic and exogenic karst. The result can be approched for resource sustainability in Mangkalihat Karst Area.
Multiple linear regression analysis of remote sensing data for determining vulnerability factors of landslide in PURWOREJO
Authors: Sudaryatno  , Widayani Prima , Wibowo Totok Wahyu , Pramono Bayu Aji Sidiq , ‘Afifah Zulfa Nur’aini , Meikasari Awit Dini , Firdaus Muhammad Rizki 
Published: July 2020

Abstract
Purworejo is one of the potential area that could be experiencing landslides, because the geomorphological conditions which are included in Menoreh Hills are geographically sloping to very steep. Based on the Indonesian Disaster Information Data (DIBI) and the National Disaster Management Agency (BNPB) in the last five years from 2014 to April 2019 there have been 64 landslides in Purworejo. The research on landslide vulnerability mapping has been done with various spatial modeling methods, one of them is using Information Value Model (IVM). There are four landslide factors arranging the model, such as elevation, slope, slope direction and vegetation index (NDVI). The purpose of this research is to determine the most influence factors towards landslide vulnerability levels thorugh remote sensing data. Multiple regression analysis is used to determine the most influential factors. In this research, dependent variable represented by eight landslide factors, and the independent variable is vurnerability level of landslide in Purworejo. The results of this study explain that the predictor variables that most influence the occurrence of landslides in Purworejo are elevations with regression values that are quite dominant among other variables.
Application of vegetation health index (VHI) to identify distribution of agricultural drought in Indramayu Regency, West Java Province
Authors: Zuhro Asma , Tambunan Mangapul Parlindungan , Marko Kuswantoro 
Published: July 2020

Abstract
The drought that occurred in Indramayu Regency was caused by a shift of the beginning season and a long dry season which affected the availability of water storage for plants. Indramayu Regency is one of the rice centers in West Java with 56% of its area is rice fields. But in recent years rice productivity has been reduced due to drought. The Indramayu District Agriculture Office noted that in 2012, 2015 and 2018 paddy fields. The purpose of this study was to determine the distribution of 2012, 2015 and 2018 wetland agricultural drought areas and their relationship with rainfall in Indramayu Regency. The VHI drought index (Vegetation Health Index) is used to determine the pattern of distribution of the drought area of agricultural land. VHI is a combination of VCI (Vegetation Condition Index) and TCI (Temperature Condition Index) derived from NDVI data processing (Normalized Difference Vegetation Index), LST (Land Surface Temperature) of Landsat 7 and 8 images. The processing results of the VHI index show the distribution of drought levels no drought to extreme drought, where in 2012, 2015 and 2018 the distribution of drought in agricultural land has the same pattern, which is dominated by the coastal areas of Indramayu Regency due to the influence of less rainfall. While the level of mild drought is in the western and center regions of Indramayu Regency.
Filtering DSM extraction from Worldview-3 images to DTM using open source software
Authors: Rokhmana Catur Aries , Sastra Ahmad Ridho 
Published: July 2020

Abstract
Today, the Indonesia one map policy has encouraged for producing maps up to scale 1/5.000 – 1/10.000. Therefore, all efforts to accelerate large-scale map production are still needed. One of the challenges is for producing DEM (Digital Elevation Model). DEM data extraction from high-resolution optical satellite imagery is an efficient choice for the production of large-area DEM. This study uses Worldview 3 stereo ready images for DSM (Digital Surface Model) Extraction. Although the DSM data have a high resolution 30cm x 30cm, unfortunately, the DEM extraction techniques from optical images produce DSM (Digital Surface Model) data instead of DTM. While topographic maps generally use DTM data instead of DSM. So, the goal of this study is to use an appropriate procedures method in Open-Source (OS) software towards the generation of Bare-Earth data by filtering DSM. The OS software is SAGA-GIS that it is can be used for any point cloud data. The quality of DTM generated by SAGA-GIS is evaluated by visual interpretation from Worldview 3 orthoimage itself. A good filtering result will remove the non-terrain point. Some independent check point used to evaluate the error in elevation. The error in elevation still less than 2 pixels. Final product is a high resolution DTM which has 30cm × 30cm grid spacing.
Identification of soil erosion areas and soil conservation in the Ci Lutung watershed using the RUSLE method
Authors: Rivanda R A , Kusratmoko E , Rustanto A 
Published: July 2020

Abstract
Erosion is one of the geomorphological processes that play a role in the development of landforms. Erosion events are controlled by exogenous energy through geomorphological agents. The rate of soil erosion in each ecosystem differs depending on how strong the erosion factor affects the soil conditions. Erosion rates will be very dangerous if erosion occurs in large erosion and in large areas. This will result in disruption of human activities and harm to society. Therefore, the importance of knowing the rate of eroded land and its variables so that this can be used in developing development and so as not to cause harm to the community. The purpose of this study was to map the area of soil erosion that occurred in Ci Lutung watershed and how big the erosion was and to find out how effective soil conservation was carried out on erosion occurring. In this study using the RUSLE (Revised Universal Soil Loss Equation) method as an equation to determine the amount of erosion and the incidence of erosion at Ci Lutung watershed. The results showed that Ci Lutung watershed’s erosion incidence was dominated by mild but extensive erosion events and the impact of severe erosion events could affect human activities.
Identification of photo number effect for 3D modeling in Agisoft software
Authors: Maharani Monica , Charieninna Anna , Nugroho Hary 
Published: July 2020

Abstract
At present, photogrammetry projects, including Close-Range Photogrammetry, has been supporting by software that works automatically. Agisoft Metashape is one of the Close-Range Photogrammetry data processing software that can work automatically. In accordance with ISPRS recommendations, the success of Close-Range Photogrammetry processing is determined by the overlap in each photo. Based on ISPRS, Close-Range Photogrammetry will succeed if each photo has an overlap of 90-95%. In line with ISPRS, Agisoft always recommends users to input more than enough photos in each processing, where more photos will produce better results. These conditions will make the number of photos used in Close-Range Photogrammetry processing will be very large, very long time processing and the processors required must be highly certified. This paper will analyze the photo number effect for 3D modeling in Agisoft software, as well as prove whether large overlapping values and a large number of photos will increase the accuracy of the resulted model. There are three simulations of photo number will be compared in terms of geometric quality, while the suitability of the resulting 3D model will also be discussed. Furthermore, the detection of causes failure in one simulation of photo number will also be explained in this paper. Results show that a large number of photos did not produce a better 3D model, so to create a 3D model does not require a large number of photos but the optimal number.
Remote sensing image transformation with cosine and wavelet method for SPACeMAP Visualization
Authors: Gumelar O , Saputra R M , Yudha G D , Payani A S , Wahyuningsih S D 
Published: July 2020

Abstract
Remote sensing imagery in LAPAN has been managed and distributed through many media and device, like CCT, DCRSy, tape, CD, DVD, hard drive. The format is available from Quicklook data (in JPG or BMP), data RAW (in Gtiff or ground station data format). There also exist metadata that bring along in each remote sensing data like Landsat data, SPOT, Radar data, and High-resolution data. From that all collection then it would need some system that can arrange, keep and distribute data in a huge amount of number. Research on metadata structure and standard will be required in managing a large number of remote sensing data. Types and formats from those remote sensing data will be various but the raster format which most widely used is GeoTiff. Metadata for every raster data format is already standardized following the rule of ISO 19139 and 19115. SPACeMAP is a new web catalog system that uses the simplest and latest raster data format for displaying the mosaic image, data processing result, data raw format and etc. The structure of raster data format (like Gtiff and ECW) is very flexible although the format needs certain criteria. Metadata also treated the same as raster format, this treatment hopefully will minimize the error.
Self-crosslinking hyaluronic acid–carboxymethylcellulose hydrogel enhances multilayered 3D-printed construct shape integrity and mechanical stability for soft tissue engineering
Authors: Janarthanan Gopinathan , Shin Hyun Soo , Kim In-Gul , Ji Pyung , Chung Eun-Jae , Lee Chibum , Noh Insup 
Published: July 2020

Abstract
One of the primary challenges in extrusion-based 3D bioprinting is the ability to print self-supported multilayered constructs with biocompatible hydrogels. The bioinks should have sufficient post-printing mechanical stability for soft tissue and organ regeneration. Here, we report on the synthesis, characterization and 3D printability of hyaluronic acid (HA)–carboxymethylcellulose (CMC) hydrogels cross-linked through N-acyl-hydrazone bonding. The hydrogel’s hydrolytic stability was acquired by the effects of both the prevention of the oxidation of the six-membered rings of HA, and the stabilization of acyl-hydrazone bonds. The shear-thinning and self-healing properties of the hydrogel allowed us to print different 3D constructs (lattice, cubic and tube) of up to 50 layers with superior precision and high post-printing stability without support materials or post-processing depending on their compositions (H7:C3, H5:C5 and H3:C7). Morphological analyses of different zones of the 3D-printed constructs were undertaken for verification of the interconnection of pores. Texture profile analysis (TPA) (hardness (strength), elastic recovery, etc) and cyclic compression studies of the 3D-printed constructs demonstrated exceptional elastic properties and fast recovery after 50% strain, respectively, which have been attributed to the addition of CMC into HA. A model drug quercetin was released in a sustained manner from hydrogels and 3D constructs. In vitro cytotoxicity studies confirmed the excellent cyto-compatibility of these gels. In vivo mice studies prove that these biocompatible hydrogels enhance angiogenesis. The results indicate that controlling the key properties (e.g. self-crosslinking capacity, composition) can lead to the generation of multilayered constructs from 3D-bioprintable HA-CMC hydrogels capable of being leveraged for soft tissue engineering applications.
Effect of nanoclay and nanoscale TiO2 on carbon/glass fibrereinforced polymer composites
Authors: B Elamvazhudi , S Gopalakannan 
Published: July 2020

Abstract
Nanofillers dispersion in polymeric matrix has been identified as a novel method to enhance the mechanical properties of Fibre Reinforced Polymer Nanocomposites (FRPNCs). In general, addition of nanofillers in polymeric resin improves the fracture toughness, tensile and other properties of polymer composites. On the other hand, this inclusion significantly reduces the stiffness, strain at rupture and thermal properties. To overcome these limitations, hybrid nanofillers have been introduced in polymer composites. This work aims to investigate the effect of addition of hybrid nanofillers (Nanoclay-TiO2) on mode I interlaminar fracture toughness (GIC), tensile as well as flexural characteristics of carbon/glass/epoxy based composites. The pristine epoxy resin was modified with nanoclay and nanoscale TiO2 nanofillers together with different weight percentages (0.5, 1, 1.5 & 2 wt%) using mechanical stirrer followed by sonication process. The modified epoxy based carbon/glass polymer laminates were fabricated using hand lay-up process. The lay-up sequence considered in this study was (90 °C/90 °G/0 °G)S, (90 °G/0 °G/90 °C)S and (90 °G/0 °C/90 °G)S. The mechanical properties of modified laminates were characterized by DCB test, tensile and three point bending test. The experimental results show that the addition of hybrid nanofillers in epoxy resin increased the mode I interlaminar fracture toughness (GIC) by 77% at 1.5 wt%, tensile strength by 31% at 1.5 wt%, and flexural strength by 33% at 2 wt%. Further addition of nanofillers (<2 wt%) decrease the mechanical properties of FRPNCs as a result of matrix embrittlement. The toughening mechanisms such as fibre pull-out, fibre breaking, particles debonding, and crack deflection were identified at the fractured surfaces.
Reversible and irreversible processes during cyclic voltammetry of an electrodeposited manganese oxide as catalyst for the oxygen evolution reaction
Authors: Villalobos Javier , Golnak Ronny , Xi Lifei , Schuck Götz , Risch Marcel 
Published: July 2020

Abstract
Manganese oxides have received much attention over the years among the wide range of electrocatalysts for the oxygen evolution reaction (OER) due to their low toxicity, high abundance and rich redox chemistry. While many previous studies focused on the activity of these materials, a better understanding of the material transformations relating to activation or degradation is highly desirable, both from a scientific perspective and for applications. We electrodeposited Na-containing MnOx without long-range order from an alkaline solution to investigate these aspects by cyclic voltammetry, scanning electron microscopy and x-ray absorption spectroscopy at the Mn-K and Mn-L edges. The pristine film was assigned to a layered edge-sharing Mn3+/4+ oxide with Mn-O bond lengths of mainly 1.87 Å and some at 2.30 Å as well as Mn-Mn bond lengths of 2.87 Å based on fits to the extended x-ray fine structure. The decrease of the currents at voltages before the onset of the OER followed power laws with three different exponents depending on the number of cycles and the Tafel slope decreases from 186 ± 48 to 114 ± 18 mV dec−1 after 100 cycles, which we interpret in the context of surface coverage with unreacted intermediates. Post-mortem microscopy and bulk spectroscopy at the Mn-K edge showed no change of the microstructure, bulk local structure or bulk Mn valence. Yet, the surface region of MnOx oxidized toward Mn4+, which explains the reduction of the currents in agreement with literature. Surprisingly, we find that MnOx reactivates after 30 min at open-circuit (OC), where the currents and also the Tafel slope increase. Reactivation processes during OC are crucial because OC is unavoidable when coupling the electrocatalysts to intermittent power sources such as solar energy for sustainable energy production.
Analyzing mass media influence using natural language processing and time series analysis
Authors: Albanese Federico , Pinto Sebastián , Semeshenko Viktoriya , Balenzuela Pablo 
Published: July 2020

Abstract
A key question of collective social behavior is related to the influence of mass media on public opinion. Different approaches have been developed to address quantitatively this issue, ranging from field experiments to mathematical models. In this work we propose a combination of tools involving natural language processing and time series analysis. We compare selected features of mass media news articles with measurable manifestation of public opinion. We apply our analysis to news articles belonging to the 2016 US presidential campaign. We compare variations in polls (as a proxy of public opinion) with changes in the connotation of the news (sentiment) or in the agenda (topics) of a selected group of media outlets. Our results suggest that the sentiment content by itself is not enough to understand the differences in polls, but the combination of topics coverage and sentiment content provides an useful insight of the context in which public opinion varies. The methodology employed in this work is far general and can be easily extended to other topics of interest.
Rapid transition from oral selexipag to parenteral treprostinil in a patient with mixed-etiology pulmonary hypertension
Authors: Radosevich John J , DeChristopher Audra , Irandost Maykel , Fann Jade , Feldman Jeremy 
Published: July 2020

Abstract

Purpose
Selexipag is an oral nonprostanoid IP prostacyclin receptor agonist that is indicated for treatment of pulmonary arterial hypertension (PAH). In patients with continued symptoms of PAH despite maximized oral therapy with selexipag and other oral therapies, a transition to parenteral prostacyclin may be warranted. There is a paucity of data regarding how to safely transition from oral selexipag to parenteral treprostinil. We describe rapid transition from oral selexipag to parenteral treprostinil in this case report.

Summary
A 65-year-old female with mixed-etiology PAH as result of pulmonary fibrosis related to polymyositis was admitted to the intensive care unit to be transitioned from selexipag to treprostinil due to dyspnea at rest despite therapy with selexipag 1,600 mg twice daily and macitentan 10 mg daily for 3 years. At baseline the patient required oxygen support (4 L/min) at rest to maintain oxygen saturation at or above 90%. Right heart catheterization performed 8 weeks prior to admission revealed severe PAH, with a pulmonary arterial pressure of 73/27 mm Hg and pulmonary vascular resistance of 10 Wood units. On the day of admission the patient was given selexipag 800 µg at 9 am and simultaneously started on intravenous (i.v.) treprostinil at a dose of 2 ng/kg/min. The treprostinil dose was increased by 2 ng/kg/min every 3 hours until a target dose of 22 ng/kg/min was achieved, at which point the patient had experienced dyspnea improvement. She experienced a mild headache and flushing during rapid treprostinil dose escalation. After 30 hours of i.v. treprostinil infusion, the patient was transitioned to subcutaneous treprostinil therapy and discharged.

Conclusion
In this case the patient was rapidly transitioned from oral selexipag to i.v. and then subcutaneous treprostinil therapy over a 30-hour period, with minimal adverse effects.
Vertical integration methods for gene expression data analysis
Authors: Wu Mengyun , Yi Huangdi , Ma Shuangge 
Published: July 2020

AbstractGene expression data have played an essential role in many biomedical studies. When the number of genes is large and sample size is limited, there is a ‘lack of information’ problem, leading to low-quality findings. To tackle this problem, both horizontal and vertical data integrations have been developed, where vertical integration methods collectively analyze data on gene expressions as well as their regulators (such as mutations, DNA methylation and miRNAs). In this article, we conduct a selective review of vertical data integration methods for gene expression data. The reviewed methods cover both marginal and joint analysis and supervised and unsupervised analysis. The main goal is to provide a sketch of the vertical data integration paradigm without digging into too many technical details. We also briefly discuss potential pitfalls, directions for future developments and application notes.