bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Milling Time on The Desorption Temperature of Mgh2-10wt% Fe3O4 for Hydrogen Storage Materials Application
Authors: Ulandari A , Rahwanto A , Handoko E , Jalil Z 
Published: October 2021

Abstract
The effect of milling time on the desorption temperature of hydrogen storage material MgH2-Fe3O4 has been carried out. This study aims to determine the effect of milling time variation and the effect of adding Fe3O4 catalyst on the characterization of MgH2. Milling time variation using mechanical alloying technique, with milling time given for 10 hours, 20 hours, 30 hours with a ball ratio of 10: 1 and a speed of 350 rpm. MgH2–10wt% Fe3O4 was characterized using XRD and DSC. The results showed the phases of MgH2, MgO, and Fe3O4. The crystal grain size of MgH2 decreased from 11.81 nm to 8.35 nm. Variation of ownership time and the addition of Fe3O4 catalyst can reduce the desorption time from 377oC to 369oC.
Python-based Program for Analysing Lattice Parameter of Cubic and Tetragonal Crystal Structure
Authors: Rizky A , Fadhillah A , Irzaman  , Irmansyah  
Published: October 2021

AbstractA program for analysing lattice parameter of a crystal structure has been successfully created based on Python programming language using the Google Collaboratory service, so it can be accessed through a PC or smartphone as long as internet access is available. This program can be used to calculate lattice parameter of a crystal structure with x-ray diffraction data as the input. Crystal structures that can be calculated for its lattice parameter are cubic and tetragonal. The program will ask for the type of crystal structure of the data, along with diffraction angles and miller indices. The input will be processed using the Cramer-Cohen method according to the previously entered crystal structure. By also entering the wavelength used, the output of this program is the lattice parameter in the angstrom unit. The percentage of error of this program’s output is extremely low.
Identification of Seawater Intrusion in Kota Lama Semarang and Surrounding Based on Geoelectrical Resistivity Survey
Authors: Supriyadi  , Fitrianto T N , Khumaedi  , Sugiyanto  
Published: October 2021

AbstractKota Lama Semarang is a tourism potential that causes a high demand for groundwater, which can cause seawater intrusion. Seawater intrusion can affect groundwater quality and soil conditions. This research aimed to determine the depth and distribution of seawater intrusion in the Kota Lama Semarang and surrounding. The research used electrical resistivity tomography (ERT) and vertical electrical sounding (VES). Geoelectrical resistivity surveyed consist of 4 ERT lines and 3 VES lines with a line length was 100 to 160 m. Lines were scattered north and south of the Kota Lama to determine the distribution of seawater intrusion. Inversion processing used Progress for VES and Res2DInv for ERT. The content of chloride as well in Kota Lama was measured as supporting data. At this location it was estimated that it has 3 layers: top soil, sand and sandy clay. The sand layer at a depth of 3 to 11 m was the layer affected by seawater intrusion. Seawater intrusion on the north side was higher than on the south side. This was indicated by the lower resistivity value of the groundwater layer on the north side. The resistivity value of the groundwater layer on the north side was 0.96 Ωm while the south side was 3.76 Ωm. This result was appropriate to the chloride content which indicates a higher concentration on the north side of the Kota Lama Semarang.
Design, Prototype of Arduino and Android-Based Anthropometry System for Toddler’s Head and Upper Arm Circumference Measurement
Authors: Umiatin  , Mauldy R M , Indrasari W 
Published: October 2021

Abstract
Nutritional status monitoring is a very important in toddler, because in this period children are vulnerable to trauma, infection, or developmental disorders. Nutritional status is one of the health indicators in the successful achievement of MDGs No. 4 related to the reduction of child mortality, which is 45% caused by malnutrition. Head and upper arm circumference are an important anthropometry parameter on toddler growth. The monitoring process for toddler in Posyandu usually by writing and plotting the data in KMS (Kartu Menuju Sehat) manually. Therefore, efforts to modernize Posyandu to facilitate Posyandu officers in taking measurements, as well as become one of the database systems of nutritional status of Indonesian toddler. The purpose of this study was to develop prototype of anthropmometry using ultrasonic sensor HC-SR04 and Hall sensor UGN3503 based Arduino. The system will be integrated with the database through Android applications. The results of this study had an accuracy value of 97.72% for the testing of head circumference measuring instruments and 95.35% of the testing of upper arm circumference measuring instruments. Android applications created to serve to store and provide information about the growth and development and nutritional status of a toddler
DC-DC Buck Converter Circuit Simulation on Solar Panel Electricity Storage System
Authors: Indrasari W , Prasetya F A I , Setiadi R N 
Published: October 2021

Abstract
Electrical energy is one of the energies that humans widely use. One of the components used to generate electrical energy is solar cells. By using solar cells, energy can be stored in a battery or used directly. In stores electrical energy into the battery using DC-DC converter is still found to have a loss of power that affects the low efficiency of electricity generated. So it needs a system that can control the process of storing energy to the battery, one of which uses a DC-DC converter with Buck topology that will be used on solar panel electrical power storage system. To optimize the DC-DC Buck converter circuit, we plan a circuit simulation by considering the value of the quality factor Q of the Butterworth filter. The test results showed that the filter with a value of Q = 0.707 was of good quality with a gain of -3.1 dB. If the Q value increase, the gain will be increased, and the time it takes until the voltage stabilizes increases.
Study Surface Area and Pore Size Distribution on Synthetic Zeolite X using BET, BJH and DFT Methods
Authors: Allanas E , Rahman A , Arlin E , Prasetyanto E A 
Published: October 2021

Abstract
The characterization of zeolite X synthesized from Bintan bauxite using nitrogen physisorption technique that employs the BET, BJH and DFT equations was proposed to improve the understanding of the pore characteristics of zeolite X. The BET, BJH and DFT methods were chosen because the characteristics of the synthesized zeolite were characterized using a scanning electron microscope (SEM) showed a typical morphology for zeolite X and zeolite A crystals and the presence of amorphous phase in small abundance. Evaluation is needed to understand the characteristics of micropore, mesoporous and macropore of zeolite X as a synthesis and the best methods. The data obtained show that the DFT method is the most appropriate and superior model to describe the pore size distribution of synthesized zeolite X.
Watt Peak Meter of Solar Panel
Authors: Manfaluthy M , Pangestu A , Arif R , Sanjaya L A 
Published: October 2021

Abstract
The design of a watt peak meter of solar panel has been carried out using an LDR sensor to obtain the strongest light as the sun moves. The electronic circuit used includes LDR KY018, WEMOS ESP32, servo motor, Solar Charger Controller, INA219 Power Sensor, Battery and 10 A / 5V Relay. The mechanical structure uses angle iron construction which is assembled in such a way as to support solar panels with the SUNLITE Model 156P-20 type. Solar panels are positioned on 2 poles and attach the bolts as the rotary axis. LDR that gets sunlight will provide input to the WEMOS ESP32 to drive the servo motor in line with the direction of the sun in the east - west direction. The result led to an average 93,7% close to number as stated in the data specification of solar panel.
Effect of Pulse Electromagnetic Field Exposure on the Expression of Lipo Protein Lipase (LPL) on the Differentiation of Mesenchymal Stem Cell
Authors: Umiatin  , Indrasari W , Taryudi  , Sari P , Mazfufah N F , Rosadi I 
Published: October 2021

Abstract
Pulsed electromagnetic fields (PEMFs) have an important role in cell differentiation. Previous study reported that PEMFs had positive and negative effect towards cell differentiation that depends on their frequencies applied to the cells. Human adipose-derived stem cells (ASCs) are mesenchymal stem cells that have an ability to differentiate into several types of cell including adipocytes, chondrocytes and osteocytes. This study aimed to evaluate the effect of human ASCs towards their adipogenic differentiation during PEMFs exposure. Human ASCs were isolated from adipose tissue. The cells then cultured in specific medium of adipocyte that induced ASCs differentiation along with PEMFs exposure. The maximum magnetic field used is 2 mT with a frequency of 75 Hz. To confirm the effect of PEMFs exposure towards adipogenic differentiation, mRNA expression of lipo protein lipase (LPL) was measured in mRNA expression level. The results showed that ASCs cultured on adipogenic differentiation without PEMFs exposure gradually increased LPL expression until day 14 of observation, while ASCs with PEMFs exposure significantly decreased LPL expression from day 2 to day 14. Based on the results, we concluded that PEMFs exposure can inhibit LPL expression that suppressed adipogenic differentiation.
PT

symmetry, pattern formation, and finite-density QCD
Authors: Schindler Moses A. , Schindler Stella T. , Ogilvie Michael C. 
Published: October 2021

Abstract
A longstanding issue in the study of quantum chromodynamics (QCD) is its behavior at nonzero baryon density, which has implications for many areas of physics. The path integral has a complex integrand when the quark chemical potential is nonzero and therefore has a sign problem, but it also has a generalized

PT

symmetry. We review some new approaches to

PT

-symmetric field theories, including both analytical techniques and methods for lattice simulation. We show that

PT

-symmetric field theories with more than one field generally have a much richer phase structure than their Hermitian counterparts, including stable phases with patterning behavior. The case of a

PT

-symmetric extension of a φ4 model is explained in detail. The relevance of these results to finite density QCD is explained, and we show that a simple model of finite density QCD exhibits a patterned phase in its critical region.
The use of virtual reality and fuzzy neural network tools to identify the focus on achieving project results
Authors: Velikanova A S , Polshchykov K A , Likhosherstov R V , Polshchykova A K 
Published: October 2021

AbstractIn the process of making a decision on the inclusion of an applicant in the project team, it is proposed to take into account his project results targeting (PRT). The article describes the conceptual basis for identifying people’s focus on achieving the results of significant projects based on the use of virtual reality tools and the capabilities of fuzzy inference systems. At the same time, to configure the parameters of the membership functions of the fuzzy inference system and the values of the individual inferences of the fuzzy rules, the use of a neural-fuzzy network is proposed. To get a training sample, the participants of the teams of implemented projects will need to pass a series of tests using virtual reality tools. According to the proposed concept, persons with high PRT will be primarily recommended for inclusion in the team of project performers.
Planning maize hybrids adaptation to future climate change by integrating crop modelling with machine learning
Authors: Zhang Liangliang , Zhang Zhao , Tao Fulu , Luo Yuchuan , Cao Juan , Li Ziyue , Xie Ruizhi , Li Shaokun 
Published: October 2021

Abstract
Crop hybrid improvement is an efficient and environmental-friendly option to adapt to climate change and increase grain production. However, the adaptability of existing hybrids to a changing climate has not been systematically investigated. Therefore, little is known about the appropriate timing of hybrid adaptation. Here, using a novel hybrid model which coupled CERES-Maize with machine learning, we critically investigated the impacts of climate change on maize productivity with an ensemble of hybrid-specific estimations in China. We determined when and where current hybrids would become unviable and hybrid adaptation need be implemented, as well as which hybrid traits would be desirable. Climate change would have mostly negative impacts on maize productivity, and the magnitudes of yield reductions would highly depend on the growth cycle of the hybrids. Hybrid replacement could partially, but not completely, offset the yield loss caused by projected climate change. Without adaptation, approximately 53% of the cultivation areas would require hybrid renewal before 2050 under the RCP 4.5 and RCP 8.5 emission scenarios. The medium-maturing hybrids with a long grain-filling duration and a high light use efficiency would be promising, although the ideotypic traits could be different for a specific environment. The findings highlight the necessity and urgency of breeding climate resilient hybrids, providing policy-makers and crop breeders with the early signals of when, where and what hybrids will be required, which stimulate proactive investment to facilitate breeding. The proposed crop modelling approach is scalable, largely data-driven and can be used to tackle the longstanding problem of predicting hybrids’ future performance to accelerate development of new crop hybrids.
Topological aspects of theta-curves in cubic lattice*
Authors: No Sungjong , Oh Seungsang , Yoo Hyungkee 
Published: October 2021

Abstract
Knots and embedded graphs are useful models for simulating polymer chains. In particular, a theta curve motif is present in a circular protein with internal bridges. A theta-curve is a graph embedded in three-dimensional space which consists of three edges with shared endpoints at two vertices. If we cannot continuously transform a theta-curve into a plane without intersecting its strand during the deformation, then it is said to be nontrivial. A Brunnian theta-curve is a nontrivial theta-curve that becomes a trivial knot if any one edge is removed. In this paper we obtain qualitative results of these theta-curves, using the lattice stick number which is the minimal number of sticks glued end-to-end that are necessary to construct the theta-curve type in the cubic lattice. We present lower bounds of the lattice stick number for nontrivial theta-curves by 14, and Brunnian theta-curves by 15.
Reviewing the characteristics of slip behaviour for megathrust earthquake at Sumatera using vertical derivative of GOCE satellite gravity field
Authors: Aristo  , Iskandarsyah  
Published: October 2021

Abstract
The review of the seismogenic zone characteristics associated with the earthquake rupture process in the Sumatra Subduction Zone has been carried out by various methods. This zone has experienced several major earthquakes; Aceh 2004 Mw=9,1, Nias-Simeulue 2005 Mw=8,6, Bengkulu 2007 Mw=8,5, and Enggano 2000 Mw=7,9. This study focuses on the relationship between density contrast analysis based on gravity data from the GOCE satellite and the slip distribution in four major earthquake rupture zones. Satellite gravity data processing is carried out to obtain data for Gravity disturbance (Gd) and vertical gravity derivatives (Tzz), corrected by topography and sediment effects with different spectrum decomposition to get gravity maps with different depths. Based on the Tzz analysis, the maximum slip of the earthquake rupture is correlated with the minimum Tzz pattern and low-density contrast. In contrast, the rupture ends at the maximum Tzz pattern and high-density contrast. Tzz pattern and Gravity disturbance can describe the barrier and asperity of the Sumatra subduction zone. The schematic maps portray the seismic segmentation of Sumatra Subduction, which have asperities zone along the subduction strike associated with the minimum Tzz and associated with the forearc zone, as well as the barrier related to the maximum Tzz, which is a manifestation of structures (fracture zone and seamount) that are subducted to the oceanic plate.
Analysis of the effect of magnetotelluric data quality improvement using rho variance and edit XPR parameters in densely populated areas
Authors: Widodo A , Lestari W , Warnana D D , Syaifuddin F , Rivensky R S , Ilmawan R Z 
Published: October 2021

Abstract
Magnetotelluric (MT) research was conducted to map the fault structure in the western part of East Java. The advantage of the magnetotelluric method is its deep penetration because it propagates at a low frequency so that it can detect resistivity anomalies that are thought to be faults. The measuring path of the magnetotelluric method covered the Surabaya and Gresik areas. Research conducted in densely populated areas thus it requires a noise reduction process to improve the quality of the data. Performing the robust processing with Rho Variance parameters and editing XPR is an effort to reduce noise and to improve the quality of magnetotelluric data. The robust processing result of 5 (five) sounding MT data using the Rho Variance parameter can improve the quality of magnetotelluric data by increasing the coherence value of 2.128% (MT01), 2.804% (MT02), 2.378% (MT03), 3.508% (MT04), and 3.129% (MT12). Meanwhile, the editing XPR process can increase the coherence value of 0.184% (MT01), 7.155% (MT02), 9,364% (MT03), 0.784% (MT04), and 0.628% (MT12). Escalation of coherence value by implemented the Rho Variance and Editing XPR means that two methods are sufficient effectively to raise the confidence level of MT data processing and interpretation result.
Comparison of three recurrent neural networks for rainfall-runoff modelling at a snow-dominated watershed
Authors: Yokoo K , Ishida K , Nagasato T , Ercan A , Tu T 
Published: October 2021

Abstract
In recent years, rainfall-runoff modelling using LSTM has shown high adaptability. However, LSTM requires far more computational costs than traditional RNN. In addition, a different type of RNN, GRU, has been developed to solve this issue of LSTM. Therefore, this study compares the accuracy of the deep learning methods for rainfall-runoff modelling using three deep learning methods in a snow-dominated area. Besides, the setting of hyperparameters may affect accuracy. The accuracy of these deep learning methods was investigated by trying multiple combinations of hyperparameters. The input data were daily temperature data and precipitation data. The results show that GRU gives the highest accuracy in most combinations.
3D stratigraphic modelling of the Bangkok basin using Kriging on borehole data
Authors: Subedi B , Kitaoka T , Kiyono J 
Published: October 2021

Abstract
The Lower Central Plain of Thailand has a deep and highly irregular basement filled with complex layers of alluvial sandy soil and deltaic clay or silt. The Bangkok Metropolitan region with its high level of infrastructure development is located in this plain. With high population density, the problem of land subsidence is critical. This study uses borehole data and the Kriging method to interpolate the data. A detailed 3D stratigraphic model of the basin is presented and several cross sections along two directions. Seventeen layers and the points used for modelling each layer are presented. The model shows eight aquifers in the Bangkok basin, lying between eight layers of clay, and a bottom layer above the basement. The bottom of the lowest aquifer of the Bangkok aquifer system is 610 m deep. The basement extends down to a depth of more than 2000 m in some places. Our 3D model, which extends to the basement, is of interest for mining and site-specific seismic risk analysis. Moreover, our results can be very useful for groundwater and land subsidence studies.
Deformation identification using DInSAR multi temporal analysis method in supporting infrastructure development (case study of the area around the nation’s new capital)
Authors: Puspita A , Prihanto Y , Martha S , Martha A A , Gultom A G 
Published: October 2021

Abstract
The relocation of nation’s capital is one of the government’s flagship programs at this time. The lack of information on soil structures that are prone to deformation can bring an impact on the failure of infrastructure development in the areas of New State Capital (known as Ibu Kota Negara/IKN). Therefore, a significant study is important to find out the deformations that may occur in the region as an initial information in determining the location for safer infrastructure development based on the soil structure conditions in the research area. This research used the Differential Interferometry Synthetic Aperture Radar (DInSAR) method with a multi-temporal approach to identify the deformations in the research area. The data included SAR images of Sentinel 1A type SLC with C band (5.405 GHz) for the period 2015-2019. The results confirmed that deformation had been identified in several areas, both those experiencing subsidence and uplifting. The maximum subsidence was 12.97 cm at Sepaku district on period 2018-2019 and the maximum uplift was 10.01 cm on period 2017-2018. The identified areas with deformation generally take place in areas with a high density of buildings, construction areas, road infrastructure, and river alluvial deposits.
Analysis of the distribution of seawater intrusion using electrical conductivity and total dissolved solid data and intelligence for residents in Sayung District, Demak Regency
Authors: Ariwibowo K L , Riski A M , Fajarulloh A S , Putranto T T 
Published: October 2021

Abstract
Massive groundwater extraction from production wells can trigger seawater intrusion, such as what happened in Sayung District, Demak. Seawater intrusion can be identified using quality analysis in the form of the electrical conductivity of each water sample taken. The research area is located in Sayung District, Demak Regency and is on the north coast, and is composed of alluvium quaternary deposits in the form of clay, sand sediments, and organic material of the plant. The purpose of this study is to determine the distribution of seawater intrusion in Sayung District and to know the prediction of the direction of seawater intrusion to provide an overview of groundwater quality recommendations in the study area to residents. To determine the distribution of seawater intrusion, you can use Electrical Conductivity and TDS (Total Dissolved Solids) data, from the results of the analysis there is a decrease in groundwater quality as indicated by the electrical conductivity value in the range 2,800-3,265 μmnos/cm with slightly brackish salinity and damage levels. categorized as critical and has a relatively high TDS value in the range 1,904-2,220.2 mg/L which is spread in the northern part near the coast including Timbulsloko and Sidorejo villages.