bluuebunny/crossref_metadata_2025_split huggingface dataset:
I-mode in non-deuterium plasmas in ASDEX Upgrade
Authors: Bonanomi N. , Angioni C. , Silvagni D. , Happel T. , Plank U. , Gil L. , Schneider P.A. , Puetterich T. , EUROFusion MST1 Team the , ASDEX Upgrade Team the 
Published: March 2021

Abstract
The I-mode confinement regime in non-deuterium plasmas has been investigated in the ASDEX Upgrade tokamak. We report the first experimental observations on the existence and the main characteristics of this regime in hydrogen and helium plasmas and compare them with deuterium I-modes. Hydrogen features a higher power threshold to enter I-mode and a higher electron edge pressure at the L- to I-mode transition with respect to deuterium. Furthermore, all the hydrogen I-modes obtained exhibit pedestal relaxation events (PRE). The I-mode power window in hydrogen is found to be 2–3 times larger than in deuterium. This property allows a better characterization of PRE and to differentiate them from type-III ELMs. Helium I-modes feature properties which are similar to those of deuterium I-modes. The analysis on the minimum of the edge radial electric field E
r shows a correlation between the E
r minimum, the net input power and the ion diamagnetic term in the ion radial force balance. Indications of the dominant role of the edge ion temperature in the evolution of the radial electric field with increasing input power are also reported.
Testing predictions of electron scale turbulent pedestal transport in two DIII-D ELMy H-modes
Authors: Guttenfelder W. , Groebner R.J. , Canik J.M. , Grierson B.A. , Belli E.A. , Candy J. 
Published: March 2021

Abstract
In this paper, we present linear and nonlinear gyrokinetic analyses in the pedestal region of two DIII-D ELMy H-mode discharges using the CGYRO code. The otherwise matched discharges employ different divertor configurations to investigate the impact of varying recycling and particle source on pedestal profiles. Linear gyrokinetic simulations find electrostatic ion-scale instabilities (ion temperature gradient and trapped electron modes, ITG–TEM) are present just inside the top of the pedestal with growth rates that are enhanced significantly by parallel velocity shear. In the sharp gradient region, E × B shearing rates are comparable or larger than ion scale growth rates, suggesting the suppression of ITG–TEM modes in this region. Instead, the electron temperature profiles are found to be correlated with and just above the electron temperature gradient (ETG) instability thresholds. Using gradients varied within experimental uncertainties, nonlinear electron-scale gyrokinetic simulations predict electron heat fluxes from ETG turbulence, that when added to neoclassical (NC) ion thermal transport simulated by NEO, account for 30%–60% of the total experimental heat flux. In addition, the NC electron particle flux is found to contribute significantly to the experimental fluxes inferred from SOLPS-ITER analysis. Additional nonlinear gyrokinetic simulations are run varying input gradients to develop a threshold-based reduced model for ETG transport, finding a relatively simple dependence on η
e = L
ne/L
Te. Predictive transport simulations are used to validate this pedestal-specific ETG model, in conjunction with a model for NC particle transport. In both discharges, the predicted electron temperatures are always overpredicted, indicative of the insufficient stiffness in the ETG pedestal model to account for all of the experimental electron thermal transport. In the case of the closed divertor discharge with lower particle source, the predicted electron density is close to the experiment, consistent with the magnitude of NC particle transport in that discharge. However, the density profiles are overpredicted in the open divertor discharge (larger particle source), due to insufficient model transport. The implications for other mechanisms accounting for the remainder of transport in the sharp gradient region in the two discharges are discussed.
Spin-glass dynamics in the presence of a magnetic field: exploration of microscopic properties
Authors: Paga I , Zhai Q , Baity-Jesi M , Calore E , Cruz A , Fernandez L A , Gil-Narvion J M , Gonzalez-Adalid Pemartin I , Gordillo-Guerrero A , Iñiguez D , Maiorano A , Marinari E , Martin-Mayor V , Moreno-Gordo J , Muñoz-Sudupe A , Navarro D , Orbach R L , Parisi G , Perez-Gaviro S , Ricci-Tersenghi F , Ruiz-Lorenzo J J , Schifano S F , Schlagel D L , Seoane B , Tarancon A , Tripiccione R , Yllanes D 
Published: March 2021

Abstract
The synergy between experiment, theory, and simulations enables a microscopic analysis of spin-glass dynamics in a magnetic field in the vicinity of and below the spin-glass transition temperature T
g. The spin-glass correlation length, ξ(t, t
w; T), is analysed both in experiments and in simulations in terms of the waiting time t
w after the spin glass has been cooled down to a stabilised measuring temperature T < T
g and of the time t after the magnetic field is changed. This correlation length is extracted experimentally for a CuMn 6 at. % single crystal, as well as for simulations on the Janus II special-purpose supercomputer, the latter with time and length scales comparable to experiment. The non-linear magnetic susceptibility is reported from experiment and simulations, using ξ(t, t
w; T) as the scaling variable. Previous experiments are reanalysed, and disagreements about the nature of the Zeeman energy are resolved. The growth of the spin-glass magnetisation in zero-field magnetisation experiments, M
ZFC(t, t
w; T), is measured from simulations, verifying the scaling relationships in the dynamical or non-equilibrium regime. Our preliminary search for the de Almeida–Thouless line in D = 3 is discussed.
The effect of inquiry learning model and logical mathematical intelligence on the learning outcomes of high school students
Authors: Herawati A , Astra I M , Supriyati Y 
Published: March 2021

AbstractThis research aimed to determine the differences in student learning outcomes through the Inquiry learning model, to see the influence of the interaction between learning models and logical-mathematical intelligence on student learning outcomes, and to find out differences in student learning outcomes through the inquiry learning model in the logical-group mathematical intelligence high and low. The research was conducted at Public High School 2 in South Tangerang City with a sample of 74 students consisting of 37 students in the experimental class and 37 students in the control class. This study used the quasi-experiment method and the research design was treatment by level 2x2. Based on the research results obtained by data analysis and hypothesis testing, it can be concluded that: (1) there are differences in the learning outcomes of students when given the inquiry learning model; (2) there is an interaction effect between inquiry learning models and logical-mathematical intelligence on student learning outcomes; (3) the learning outcomes of students who are taught with the guided inquiry learning model are higher than those taught with the self inquiry learning model in both the high and low logical-mathematical intelligence groups.
Study in determining of junction point value for shifting measurement method on line scale calibration in SNSU BSN
Authors: Alfiyati N , Kartika N L , Nugraha A R 
Published: March 2021

Abstract
Calibration of line scale in the National Standards Measurement-National Standardization Agency in Indonesia (SNSU-BSN) is carried out by using one dimensional measuring machine (SIP machine) which traceable to the laser interferometer or laser interferometer itself. Although line scale calibrated using laser interferometer, the system needs SIP machine as linear movable carriage and SIP table as the base on line scale. Length measurement of the SIP machine covers only up to 400 mm and for line scale above 400 mm, measurement can be extended to 1000 mm using shifting methods. When the scale is shifted, the position of the last point of previous measurement might not be on the same position, even though it has been well alignment for the second measurement. There is an error due to a junction between position scale on the first measurement to the second measurement. This error is added to the uncertainty budget as a junction point error because of the shifting. This paper described how to determine an appropriate value that should be attached on the uncertainty budget. It was found the error value of junction point due to shifting method in line scale calibration is 0.42 µm and the expanded uncertainty of line scale calibration for 1000 mm is 2.5 µm.
Localization of scalar field on f(R, T) thick Robertson-Walker brane
Authors: Rohman M T , Triyanta  
Published: March 2021

Abstract
The braneworld model provides a solution to the hierarchy problem in cosmology. Based on its thickness, braneworld models are classified into a thin brane model (RandallSundrum (RS) and the RS-like models) and a thick brane model. The thin brane model has a problem according to the zero-width brane and some fields localization. Meanwhile, thick brane is quite good in explaining fields localization and there is no problem related to brane thickness. In this article, we re-examine the thick brane in a modified gravity, that is f(R,T) gravity. The equation of motion for the y-dependence scalar field and the f(R,T) field equation for a conformally flat brane and Robertson-Walker brane are derived. We also investigate the localization of scalar field on the f(R,T) thick brane, for a specific f(R,T) form. As the results, the formulation of Robertson-Walker thick brane is obtained. It can be reduced and has similarities to the previous f(R,T) brane consideration. It has a possibility to trap the field ϕ(y) in a thick brane with specific conditions of brane’s scale factor. It was shown that the expanding or contracting universe affects the localization conditions of the scalar fields.
I-V characteristic of Poly(dA)-poly(dT) DNA molecule: the role of internal electric field
Authors: Yudiarsah E 
Published: March 2021

Abstract
The effect of an internal electric field built up along the Poly(dA)-poly(dT) DNA molecule on the electron transport in the molecule has been studied. The electric field dependent electron hopping amplitude has been used in the tight-binding Hamiltonian model of a Poly(dA)-poly(dT) DNA molecule. Green’s function technique is used in calculating electron transmission probability, which is then used for computing current as a function of voltage by employing the Landauer-Büttiker formalism. It is observed that the internal electric field can cause the current decreases with voltages. The current reaches its maximum at a lower voltage as the internal electric field increases.
Structure and optical properties study of annealed CuO films for development of perovskite-based solar cells
Authors: Cahyono Y , Ramadhanti S , Fatimah S , Rasmianti  , Dewi Y N K , Asrori M Z 
Published: March 2021

Abstract
Synthesis and growth of CuO films have been carried out to be used as constituent materials for perovskite-based solar cells. The film was made using a spin-coating and heat treatment sol-gel method with variations in temperatures of 400 °C, 500 °C, and 600 °C, each for one hour. CuO films were then characterized using UV-Vis, XRD, and FTIR. The analysis was carried out to determine the effect of annealing temperature on the absorbance, thickness, gap energy, crystal size, crystallinity, and functional group bonds of compounds found in CuO films. In general, there is a decrease in thickness, and energy bandgap, as the annealing temperature is increased. Conversely, the absorbance, the mean grain size, and crystallinity increased as the annealing temperature was increased. The increase in grain size is one of the causes of decreasing energy bandgap when the annealing temperature is increased. Annealing treatment increases absorbance in the visible and the near-infrared spectrum (photons with lower energy levels). This is very advantageous as solar cell material. CuO film is planned to be used as a tandem for Barium Titanate (BaTiO3) to form a solar cell system.
Curve splitting analysis of synthetic MT data to identify permeable zone at geothermal field “X”
Authors: Rosid M S , Ghufron E 
Published: March 2021

Abstract
The permeable zone is one of the important parameters in the geothermal system. Its existence is influenced by fractures or faults generated within the geothermal reservoir. Due to the continuous influence of both high temperature and pressure, reservoir rocks are stressed and tend to cause a fracture. Unfortunately, some fractures are generally not continuous to the surface, so that geological data are not able to map out the presence of this structure. While the presence of the fracture zone greatly facilitates fluid mobility in the reservoir including heat transfer from the heat source convectively. Mapping the presence of a subsurface fracture zone is not easy. The study aims to identify the existing fracture zone through curve splitting analysis of MT data (magnetotelluric). The data used here is synthetic MT data. The fracture zone is a heterogeneous zone and anisotropy for EM waves. Splitting TE and TM curves will happen when the MT wave passes through this zone. The analysis of curve splitting provides depth penetration value. Therefore, the existence of fault as the cause of curve splitting can be mapped. From the results of forward modelling, the curve splitting approach can map very well the existence of the subsurface fault. For medium/rock resistive, the deviation of its dip value is only 1.36%. When the rock medium is highly conductive the deviation of its dip value up to about 3.48%. This is due to the absorption of EM waves by the conductive layer so that it is not effective in mapping the underlying layer.
Reservoir identification at Dieng geothermal field using 3D inversion modeling of gravity data
Authors: Rosid M S , Sibarani C 
Published: March 2021

AbstractIt was well known, the reservoir is one of the important parameters in a geothermal system. In general, a geothermal reservoir can be characterized as a graben structure with low to moderate rock density relative to its surroundings. Dieng is a geothermal field that is located in Banjarnegara and Wonosobo regency, Central Java province. The existence of a geothermal system in Dieng is identified by the appearance of surface manifestations such as crater and hot spring. This study was conducted to identify reservoir zones in the Dieng geothermal field using gravity data. To justify the location of reservoir rock, subsurface structure analysis using derivatives analysis which is the First Horizontal Derivatives (FHD) and Second Vertical Derivatives (SVD) method is done. The subsurface structure has an important role as the recharge and discharge zone of the geothermal system that aims towards and leaves the reservoir rock. Three-dimension inversion modeling is also applied because it is more objective and appropriate with the real condition rather than the forward method. The result of this study shows that ten structures are identified by the derivative analysis. The structures are dominated by normal faults. There are identified two grabens that are indicated as the two separated reservoirs in the South and center of the Dieng geothermal field. The results are verified by both geology and magnetotelluric data which have different characteristics and both reservoirs are separated by a low resistivity igneous rock that has been altered with the thermal effect of the surrounding reservoir.
Photoproduction mechanism for charged reaction of K*A with nucleon
Authors: Putra A W , Salam A , Fachruddin I 
Published: March 2021

Abstract
The photoproduction of vector meson K*(892) on the nucleon has been investigated in the framework of the effective Lagrangian model by utilizing the Feynman diagram of the lowest orders in calculating the transition amplitudes. Beside the Born and the contact terms, we consider the Σ*(1780) as an additional hyperon resonance alongside with the Σ*(1385) in the M-channel. It is found that the Σ*(1780) has remarkable effects in the backward scattering region where there are still discrepancies between the theoretical predictions and the experimental data.
Effectiveness of using computer aided detection based on convolutional neural network for screening microcalcification On USG Mammae
Authors: Nasution N , Prajitno P , Soejoko D S 
Published: March 2021

Abstract
Breast cancer is a very common cancer in women, affects millions of women each year, and is also one of the leading causes of cancer deaths among women. Early-stage cancer detection can reduce breast cancer mortality significantly in the long term. Breast ultrasound is a cost-effective and widely available screening tool. Breast ultrasound can be used for women who are at high risk of developing breast cancer but cannot undergo MRI examinations or for pregnant women who should not be exposed to X-rays, and also for women who have dense breast tissue. Although ultrasound is considered to be used for breast screening, its use is highly dependent on the doctor’s experience in reading the images. Therefore, to diagnose breast cancer using ultrasound images automatically can use computer assistance, namely Computer-Aided Detection (CADe). This study discusses a deep learning-based CADe system, namely the convolutional neural network (CNN), CNN is desired to evaluate several ultrasound images to make a microcalcification diagnosis. Microcalcifications are fine white spots, similar to grains of salt. They are not usually cancer, but certain patterns can be an early sign of cancer. Detecting microcalcification using CNN can be used as a routine breast screening, which can help doctors find signs of breast cancer earlier than is currently possible. The best MSE(Mean Squared error) loss value obtained is achieved at 0.24 with an accuracy of 0.76.
Estimation of main and total effect of PBPK parameters in Meningioma patients
Authors: Ittaqa A N , Pawiro S A , Riana A , Misrawati  , Mas’udi L D H A , Hardiansyah D 
Published: March 2021

Abstract
This study aims to identify the most important parameters in the Physiologically-Based Pharmacokinetic (PBPK) model of Peptide Receptor Radionuclide Therapy (PRRT). By knowing the size of the contribution of physiological parameters to the PBPK model, it can reduce the variability of the absorbed dose (AD) in organs at risk, such as the kidney and tumor between individuals. The small variability has the potential to increase the accuracy of planning individual radionuclide therapy treatments. This study uses the extended Fourier Amplitude Sensitivity Test (eFAST) Global Sensitivity Analysis method, the best variance-based global method in analyzing the PBPK model. A whole-body PBPK model that has been developed for treatment planning in PRRT therapy for meningioma patients (n = 7). The parameters of interest analyzed were organ receptor densities Rdens, organ flows f, organ release rates, and peptide binding rate. AD as the desired output from the eFAST algorithm by calculating Si
and STi
from each AD Kidney and AD Tumor. All parameters of interest are converted into the lognormal distribution. The sampling strategy based on eFAST sampling, the interference factor is equal to 4. To see the convergence of the convergence value of Si
and STi
, a simulation was performed with a total evaluation of 129, 257, 513, 1025, 2049, 4097, and 8193. The results of the simulation, inter-individual variability of tumor AD (coefficient of variation CV up to CV = 73%) was higher than that organ at risk (e.g. kidneys CV around 22%). Based on GSA analysis, the most important parameter determined the AD of tumors, tumors receptor density (Si
= 0.8, S
Ti
= 0.93), kidneys AD was kidneys receptor density (Si
= 0.66, STi
= 0.71). After validating Si
by fixing every parameter considered important, the results can reduce the CV of the kidney AD from 22% to 1%, with a decrease in CV presentation of around 95%. CV AD tumor 1 was reduced by 68% from CV 44% to 14%, and CV in tumor AD 2 from 72% to 17% with a reduced CV presentation of about 77%. It was concluded that receptor measurement is important because it can improve the accuracy of radionuclide therapy treatment.
Local wisdom in Lombok island with the potential of ethnoscience for the development of learning models in junior high school
Authors: Hikmawati  , Suastra I W , Pujani N M 
Published: March 2021

Abstract
This study aims to describe local wisdom on the island of Lombok that has the potential for ethnoscience to develop a learning model at Junior High School. This research uses a qualitative approach. The data collection method is done by using observation, interview, documentation, and literature study. The results showed that local wisdom on the island of Lombok that has the potential for ethnoscience is Sasak Sade Village, Bau Nyale Tradition, Sesek Weaving, Gendang Beleq, and Poteng Reket. Sasak Sade Village has a traditional house using certain sizes, namely length (Sedepa), width (Sesata), and height (Sprunjung). The Bau Nyale tradition is the hunting tradition of Nyale (sea worms). Sesek Weaving has various motifs and philosophies, various preparation processes, weaving and finishing processes to traditional waste utilization. Gendang Beleq is a traditional musical instrument made of animal skin and the two sides are closed, when it is hit the sound will bounce off the other side and go through a damping process so the resulting sound will sound smoother. Poteng Reket is a conventional biotechnology product. This local wisdom that has the potential for ethnoscience can be utilized in the development of learning models, especially in science subjects at Junior High School.
Analysis of the subsurface minerals of Bantimurung-Bulusaraung National Geopark: Leang Lonrong Cave in Maros-Pangkep regencies based on its characteristics of rainfall intensity
Authors: Arsyad M , Palloan P , Malago J D , Suharna A 
Published: March 2021

Abstract
Leang Lonrong Cave with underground river flowing in it is located in Maros-Pangkep karst area known with a high level of annual rainfall. That condition affects the surrounding environment including water discharge and subsurface mineral types. This study aims at analyzing the impact of rainfall on sub-surface mineral types around the area of Leang Lonrong Cave. The data used are rainfall intensity of Tondong Tallasa, Bungoro and Ballocci stations in 2015-2019 which are analyzed using Oldeman and Schmidt-Ferguson methods to find out the characteristics of rainfall occuring in Pangkep Regency. As for water discharge in June 2020 and rock resistivity data, they are examined using geo-electric method by Wenner’s through IP2Win and Res2DinV. The results of this study show that the area is dominated by wet months in November to April with rainfall intensity above 100mm per year and dry months which generally occurring in July to September where the others are considered as humid months with low water discharge flows in dry months. Moreover, the subsurface minerals are dominated by groundwater, clay and sand with resistivity extends from 0 to 27Ωm.