bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlation of calcium scoring with image anatomy of cardiac angiography CT examination in coronary heart disease
Authors: Masrochah Siti , Ardiyanto Jeffri , Rasyid Rasyid , Nurbaiti Salis 
Published: June 2023

Abstract
Coronary heart disease is caused by narrowing or obstruction of the arteries that supply blood to the heart muscle. In establishing a diagnosis of heart disease, a precise and accurate radiological examination is required. Parameters are needed in Computed Tomography (CT) angiography to support the diagnosis with a radiation safety. This research is a qualitative study with an observational survey approach was conducted at Hospital in Semarang on 30 patients with CT cardiac angiography examination. The research data obtained are image of CT cardiac angiography and calcium scoring which is then performed a descriptive image analysis. The results of the examination 30 patients obtained the calculation of the value of the heart blood vessel LAD, RCA, LCX. Calcium Score calculation is automatically by the software. Samples were found to have abnormal calcium scoring values are 23 of 30 samples, from low to high. Corelation of calcium scoring with image anatomy in coronary heart disease is characterized by the presence of palque with high calcium scoring >100, the perfusion model results have decreased function on the calcification scale, and there is a stenosis image on CT with contrast media and 3D images on one or more LAC, RCA, LAD, RCX, or LCX.
An implementation of XGBoost algorithm to estimate effective porosity on well log data
Authors: Fajrul Haqqi Muhammad , Saroji Sudarmaji , Prakoso Suryo 
Published: June 2023

Abstract
The application of machine learning methods is aimed at providing efficiency and avoiding subjectivity in estimating reservoir porosity data. This study proposes the eXtreme Gradient Boost (XGBoost) algorithm which is known to be effective in providing accurate predictions in a short time for estimating effective porosity. The model was optimized using the GridSearchCV (GS) module, then applied to 7 wells from Damar field, Indonesia with variations in the separation of training and testing data based on the number of wells. The best evaluation results are achieved when uses 6 training wells and one tested well with a model accuracy around 78.36% and training time around 1.29 seconds. An increasing the amount of training data will increase the model performance. All variations of training and testing did not show any indication of overfitting. Therefore, it can be concluded that the XGBoost model can effectively estimate reservoir porosity in the area.
Evaluation of in-house phantoms for mammography accreditation with various 3D printer filaments
Authors: Celina F M , Gani M R A , Endarko E 
Published: June 2023

Abstract
One of the routine activities in the mammography modality is image quality testing using the American College of Radiology (ACR) accreditation phantom, approved by the Mammography Quality Standards Act (MQSA). ACR has approved the CIRS Model 015 for use in the Mammography Accreditation Program. However, because the price of this phantom can be reasonably high, not all hospitals have it. This study aims to fabricate the ACR CIRS model 015 phantom with various 3D printer filaments and compare it with the ACR phantom standard. Phantom was designed by depicting small structures similar to those found clinically to test the capabilities of quantitatively evaluated mammographic imaging systems. The designed in-house phantom consists of fibers, microcalcifications or specks, and masses to simulate tumors. Polylactic Acid (PLA) and Polyvinyl Alcohol (PVA) were used to fabricate in-house phantoms. Meanwhile, the fibers and specks were filled with nylon fiber and Al2CO3. The phantom was designed using the CATIA 3D design based on the CIRS phantom mammography accreditation model 015. The diameter of the specks was printed with the 3D printer in various sizes of 1, 0.9, 0.8, 0.7, and 0.6 mm, respectively. The fabricated phantom was irradiated three times to maintain accuracy using mammography type Siemens Mammomat Inspiration with serial number control 11238. The assessment was conducted with manual irradiation mode at a voltage of 28 kV, 100 mAs, target/filter W/Rh, and a compression rate of 50 N. The all-fabricated phantoms met the ACR standard phantom for fiber, and mass detection with the best result was achieved for the second material with six fibers, four specks, and five masses. The fabricated phantom can potentially be used for image quality control for mammography systems in determining the early detection of breast cancer.
Preparation of Nickel (Ni) doped SrTiO3 and effects of sintering temperatures on its properties as photocatalyst
Authors: Reza Agustina Firda , Suherman Bachtiar , Uswatun Hasanah Laili , Fajar Suryaning Puspita Novia , Khoirum Sandi Dianisa , Nurosyid Fahru , Handoko Erfan , Iriani Yofentina 
Published: June 2023

Abstract
SrTi0.97 Ni0.03O3 photocatalysts with varied sintering temperatures of 900°C and 1000°C have been successfully prepared via the co-precipitation method. This study aimed to determine the effect of temperature on SrTi0.97 Ni0.03O3 photocatalyst including the microstructure, atomic bonding, and photocatalyst activity. X-Ray Diffraction (XRD) data revealed an increase in the crystallite size with increasing the sintering temperature. Fourier Transform Infrared (FTIR) results confirmed the formation of Sr-Ti-O bonds followed by the presence of CH impurities that the impurities decreased at 1000°C. The photocatalyst activity was tested using methylene blue (MB) degradation in SrTi0.97 Ni0.03O3 photocatalysts under UV rays. The time for the irradiation process varied from 3, 4, to 5 hours. The degraded result was examined using a UV-Vis spectrophotometer to estimate the %degradation. The results demonstrated that the sintering temperatures do not considerably impact MB degradation. Further, the best treatment for SrTi0.97Ni0.03O3 to attain the highest MB degradation of 49.9% is at 900°C with 5 hours of irradiation.
Thin film deposition of tungsten nitride on SS 316 L surface using DC-Sputtering technique
Authors: Suprapto  , Sujitno Tjipto , Slamet Pudjorahardjo Djoko , Suprihatin Hari , Zulhendri Iqfal , Saefurrochman  
Published: June 2023

Abstract
316L stainless steel (SS) is an alloy steel that is not easily corroded, so it is widely used for biomaterial applications. In addition to being resistant to corrosion, 316L SS is also inexpensive when compared to other medical metals. However, 316L SS has relatively low hardness and wear resistance, thus this weakness must be improved. By heat treatment, it is impossible to improve the SS alloy, so other techniques must be applied. In this study, improvement of surface hardness of 316L SS by coating tungsten nitride (WN) using DC-sputtering method has been conducted. The sputtering process was implemented by varying the sputtering pressure of 1.8×10-2, 2.3×10-2 and 2.8×10-2 Torr. Furthermore, the composition ratio of Ar and N2 gases were varied i.e 70:30, 80:20 and 90:10 with a voltage of 4 kV and deposition time of 120 minutes. After the coating process, hardness testing was carried out using the Vickers hardness test with a load of 25 gf. The formation of tungsten nitride was also analyzed using XRD. The highest hardness in order of 938.64 VHN is achieved at a pressure of 2.8×10−2 Torr and the ratio of Ar:N2 gas was 90:10. From the XRD analysis, the layer formed is a W+WN layer which is shown at the peaks at a scattering angle of 2Ɵ is 43.55º; 2Ɵ is 39,530º; 2Ɵ is 56,880º; and 2Ɵ is 71,550º.
Influence of carbon type on the structure of Na2MnPO4F/C as cathode material
Authors: Imaliza Nurul , Zainuri Mochamad , Lintang Valentina Priono Putri Febiola 
Published: June 2023

Abstract
Energy production and storage technologies have attracted much attention for everyday applications. Sodium-ion battery (SIB) has been recognized as one of the most potent types of technology for low-cost rechargeable batteries due to its abundant sodium resource. In the following, the synthesis of Na2MnPO4F /C material with the type of carbon is Citric Acid and Glucose using the solid-state method. The structure, morphology, particle size dimensions, etc. of the prepared materials were studied by XRD, SEM-EDX, DTA-TGA, PSA, and FTIR. The result is that Na2MnO4 with P21/n space group is a monoclinic structure and there is a decrease in cell volume and crystal size due to carbon coating. The particle sizes of NMPF 0%, NMPF 5%G, and NMPF 5%CA were 1127, 730, and 532 nm, respectively, with irregular particle shapes. However, it can be observed that glucose has more carbon content than citric acid as seen from the EDX results. The functional groups FTIR results obtained were Mn-O (stretching), O-P-O (bending-asymmetry), P-O (stretching-symmetry/asymmetry), and C-C (stretching-symmetry).
First-principles study of Na insertion in V2O5 for sodium-ion-based battery cathode
Authors: Amri A H , Azhar A , Cahaya A B , Suprayoga E , Majidi M A 
Published: June 2023

Abstract
Sodium-ion batteries are a promising alternative in energy storage due to the abundant availability of Na ions. The overall battery performance may be affected by all the battery components, including the choice of the cathode material. This study focuses on vanadium pentoxide (V2O5) as the cathode material. V2O5 has the potential as the cathode for sodium-ion batteries. In this study, we compute the potential within the density functional theory using self-consistent field and structural optimization methods. In the intercalation process of Na ions, the addition of Na ions follows the chemical formula of Na
x
V2O5 with the value of x (0 ≤ x ≤ 1) representing the number of Na ions at the V2O5 cathode. We investigate the structure’s stability by calculating the formation energy and inspecting the crystal lattice’s deformation at the cathode under the variation of the number of Na+ ions. From our study, the structure NaV2O5 has a theoretical optimal capacity of 147 mAh/g and an open-circuit voltage of 3.5 V. These specifications are promising as a cathode in sodium-ion batteries even though the capacity is not as good as in lithium-ion batteries. It corresponds with the atomic size and mass of Na+ that causes deformation of the structure.
Effet of hematite (Fe2O3) from natural iron ore as a catalyst in MgH2 as hydrogen storage materials
Authors: Jalil Zulkarnain , Rahwanto Adi , Mulana Farid , Ismail Ismail , Anggreini Akbar Indah , Budi Aulia Teuku 
Published: June 2023

Abstract
The main obstacle that hinders the application of fuel cell fuels for vehicles today is the hydrogen storage tube. Therefore, this paper will report the results of a study on MgH2-based hydrogen storage materials with Fe2O3 catalyst inserted (5 wt%, 10 wt%, 15wt%) and prepared by mechanical alloying technique for 10 hours. Fe2O3 samples were obtained from the Lhoong Setia Mining site in Jantang Village, Lhoong, Aceh Besar. The initial sample separation process was carried out manually using a bar magnet. Furthermore, hematite extraction was carried out with the addition of 1M HCL and NaOH each. Then the milling process of MgH2-Fe2O3 samples was carried out using a planetary ball mill. The results of the X-ray diffraction test showed that the MgH2 phase was the most dominant/mainstream phase. Thermal testing with DSC showed that the H2 desorption process experienced a decrease in temperature from 194.56 °C with a milling time variation of 7 hours.
Tracking control of a cart-pendulum underactuated system around its vertical up position
Authors: Aguilar L T , Ferreira-de-Loza A , Kharuf-Gutiérrez S , Coria L N 
Published: June 2023

Abstract
This research provides a solution to the challenging problem of enforcing a periodic or cyclic motion in underactuated systems, even when the upper position is an unstable equilibrium point of the open-loop system. Here, we present the solution to the tracking control problem of an underactuated cart-pendulum system, where the pendulum is forced to oscillate around its upward position. A two-relay controller was used to generate a desired trajectory, which is a locally asymptotically stable limit cycle, for the system in question. The tuning of the two-relay controller to produce the desired frequency and amplitude is also discussed. Furthermore, a twisting controller is designed to ensure the robustness properties of the closed-loop system, which is verified from Lyapunov stability analysis. The positions and velocities of the cart and the pendulum were assumed to be available for feedback. Numerical and experimental results validated the theoretical analysis.
First-order numerical method for the singularly perturbed nonlinear Fredholm integro-differential equation with integral boundary condition
Authors: Amirali I , Durmaz M E , Acar H , Amiraliyev G M 
Published: June 2023

AbstractIn this work, we consider first-order singularly perturbed quasilinear Fredholm integro-differential equation with integral boundary condition. Building a numerical strategy with uniformε-parameter convergence is our goal. With the use of exponential basis functions, quadrature interpolation rules and the method of integral identities, a fitted difference scheme is constructed and examined. The weight and remainder term are both expressed in integral form. It is shown that the method exhibits uniform first-order convergence of the perturbation parameter. Error estimates for the approximation solution are established and a numerical example is given to validate the theoretical findings.
Application of oriented methods for computing shortest paths and principal curvatures on triangle surfaces
Authors: Botkin N D , Hoffmann K-H , Mayer N , Kovacs L , Eder M , Raith S , Volf A 
Published: June 2023

Abstract
The paper considers two problems: computation of shortest paths on triangle surfaces and calculation of principal curvatures at vertices of triangle surfaces. A technique that allows us to compute smoother and shorter paths using intermediate admissible directions and linear interpolation of potential functions is proposed. Conventional methods that compute the curvature in nodes of triangle surfaces are based on processing only adjacent vertices. They are non stable because triangle meshes contain frequently oscillating errors in positions of the vertices. We propose a simple practical method that accounts for larger neighborhoods of vertices. The kriging method aimed to the sparse representation of specific surface parts (aesthetic regions) is sketched. Preliminary numerical results are presented.
Sensitivity updates for linear-quadratic optimization problems in multi-step model predictive control
Authors: Emam M , Gerdts M 
Published: June 2023

Abstract
The paper discusses how parametric sensitivity analysis can be used in certain model predictive control (MPC) schemes. The sensitivity analysis will be performed with regard to the initial state measurement and update schemes will be derived that speed-up the computations. Throughout we restrict the discussion to linear-quadratic optimal control problems in discrete time, which frequently arise in tracking tasks with MPC. The derived tools from sensitivity analysis can be embedded into MPC schemes with a prediction step and multi-step MPC schemes with re-optimization and prediction step. Numerical experiments illustrating the sensitivity analysis are presented.
Trajectory planning for mechanical systems in the presence of dynamic obstacles
Authors: Golubev A E 
Published: June 2023

Abstract
This paper deals with an optimal motion planning method for mechanical systems subjected to velocity and acceleration constraints in the presence of dynamical geometric obstacles. Using a state parametrization method based on time polynomials the trajectory planning problem is reformulated as a constrained nonlinear optimization problem which is solved using a numerical optimization toolbox. Quadrotor motion planning in the horizontal plane is considered as an illustration example.
A new computational approach for scoliosis assessment from a non-invasive body scanner
Authors: Roy S , Grünwald A T D , Lampe R 
Published: June 2023

Abstract
Idiopathic scoliosis is a three-dimensional deformity of the vertebral column and one of the common pediatric spinal diseases, while neuromuscular scoliosis is often associated with cerebral palsy. Especially during periods of growth, there is a high risk of progression of scoliosis. Thus, frequent clinical monitoring is important for proper treatment. X-rays are the Gold standard and the most commonly used method for follow-up of scoliosis. The spinal curvatures are measured by the Cobb angles from x-rays. Patients with scoliosis therefore accumulate higher ionizing radiation doses from repetitive x-rays over their life span. Hence, reducing exposure to ionizing radiation is an important consideration in the follow-up of adolescent scoliosis. For that purpose a body scanner system is proposed, in particular, for complementary diagnostics in children and adolescents with cerebral palsy. The system is non-invasive, free of ionizing radiation and provides three-dimensional scan images of the human torso. In this study, two intermediate steps are described that are useful for the development of analysis methods of the scan images. Two-dimensional transverse cross sections of the torso can be extracted from a scan image along the vertical body axis. Here, methods are described that will be useful for the shape analysis of the two-dimensional transverse body contours. Based on mathematical calculations in polar coordinates, the asymmetry between left and right side of the two-dimensional transverse cross sections is captured by a linear fitting of the course of the contour on either side. Further, the two-dimensional transverse contour data are fitted with an ellipse.
Cascade aircraft flows merging with multiple order changes
Authors: Spiridonov A A , Kumkov S S 
Published: June 2023

Abstract
Nowadays, the problem of safe aircraft flows merging is considered usually as one-stage. However, real air-route schemes assume often a tree-like structure when primary flows are merged at some points and the resultant flows are merged further. In this case, the safety of merging should be controlled not only at the final point, but also at some intermediate ones. With that, aircraft can change their order between these merge points by means of usage of holding areas and/or path alignments. In this paper, the authors suggest a mixed integer linear programming formalization of such a problem. The suggested procedure is realized as a computational program with the optimization Gurobi library. Results of numerical simulations are presented.
Online parameter identification and optimal input design using perturbed nonlinear programming
Authors: Subedi S , Hosseini B , Diepolder J , Holzapfel F 
Published: June 2023

Abstract
Flight tests are performed to gather data for flight vehicle parameter estimation. If an a priori model is available, the inputs during the runtime of the flight test experiment can be designed, such that the information content in the gathered data is maximized. These optimal inputs, however, are based on an inaccurate system model, and the improvement of the system model is the ultimate goal of the system identification and therewith, the flight tests. There is an implicit relationship between the optimal inputs and the system model. In this paper, we investigate a scheme to update the optimal inputs during the flight using an online optimization technique, while performing online parameter estimation. An extended Kalman filter is used to compute new parameter values during the maneuver runtime. Concurrent to that, an interior point NLP solver computes the optimal maneuver updates, as new parameters become available in each iteration. The method is validated via a numerical example.
Generative adversarial networks for scintillation signal simulation in EXO-200
Authors: Li S. , Ostrovskiy I. , Li Z. , Yang L. , Al Kharusi S. , Anton G. , Barbeau P.S. , Badhrees I. , Beck D. , Belov V. , Bhatta T. , Breidenbach M. , Brunner T. , Cao G.F. , Cen W.R. , Chambers C. , Cleveland B. , Coon M. , Craycraft A. , Daniels T. , Darroch L. , Daugherty S.J. , Davis J. , Delaquis S. , Der Mesrobian-Kabakian A. , DeVoe R. , Dilling J. , Dolgolenko A. , Dolinski M.J. , Echevers J. , Fairbank W. , Fairbank D. , Farine J. , Feyzbakhsh S. , Fierlinger P. , Fu Y.S. , Fudenberg D. , Gautam P. , Gornea R. , Gratta G. , Hall C. , Hansen E.V. , Hoessl J. , Hufschmidt P. , Hughes M. , Iverson A. , Jamil A. , Jessiman C. , Jewell M.J. , Johnson A. , Karelin A. , Kaufman L.J. , Koffas T. , Krücken R. , Kuchenkov A. , Kumar K.S. , Lan Y. , Larson A. , Lenardo B.G. , Leonard D.S. , Li G.S. , Licciardi C. , Lin Y.H. , MacLellan R. , McElroy T. , Michel T. , Mong B. , Moore D.C. , Murray K. , Njoya O. , Nusair O. , Odian A. , Perna A. , Piepke A. , Pocar A. , Retière F. , Robinson A.L. , Rowson P.C. , Runge J. , Schmidt S. , Sinclair D. , Skarpaas K. , Soma A.K. , Stekhanov V. , Tarka M. , Thibado S. , Todd J. , Tolba T. , Totev T.I. , Tsang R. , Veenstra B. , Veeraraghavan V. , Vogel P. , Vuilleumier J.-L. , Wagenpfeil M. , Watkins J. , Weber M. , Wen L.J. , Wichoski U. , Wrede G. , Wu S.X. , Xia Q. , Yahne D.R. , Yen Y.-R. , Zeldovich O.Ya. , Ziegler T. 
Published: June 2023

Abstract
Generative Adversarial Networks trained on samples of
simulated or actual events have been proposed as a way of generating
large simulated datasets at a reduced computational cost. In this
work, a novel approach to perform the simulation of photodetector
signals from the time projection chamber of the EXO-200 experiment
is demonstrated. The method is based on a Wasserstein Generative
Adversarial Network — a deep learning technique allowing for
implicit non-parametric estimation of the population distribution
for a given set of objects. Our network is trained on real
calibration data using raw scintillation waveforms as input. We find
that it is able to produce high-quality simulated waveforms an order
of magnitude faster than the traditional simulation approach and,
importantly, generalize from the training sample and discern salient
high-level features of the data. In particular, the network
correctly deduces position dependency of scintillation light
response in the detector and correctly recognizes dead photodetector
channels. The network output is then integrated into the EXO-200
analysis framework to show that the standard EXO-200 reconstruction
routine processes the simulated waveforms to produce energy
distributions comparable to that of real waveforms. Finally, the
remaining discrepancies and potential ways to improve the approach
further are highlighted.
Suppression of accidental backgrounds with deep neural networks in the PandaX-II experiment
Authors: Shaheed Nasir , Chen Xun , Wang Meng 
Published: June 2023

Abstract
The PandaX dark matter detection project searches for dark
matter particles using the technology of dual phase xenon time
projection chamber. The low expected rate of the signal events makes
the control of backgrounds crucial for the experiment success. In
addition to reducing external and internal backgrounds during the
construction and operation of the detector, special techniques are
employed to suppress the background events during the data analysis.
In this article, we demonstrate the use of deep neural networks
(DNNs) for suppressing the accidental backgrounds, as an alternative
to the boosted-decision-tree method used in previous analysis of
PandaX-II. A new data preparation approach is proposed to enhance
the stability of the machine learning algorithms to be run and
ultimately the sensitivity of the final data analysis.