bluuebunny/crossref_metadata_2025_split huggingface dataset:
Memristive behaviour of electrodeposited bismuth selenide
Authors: Mihailovic I A , Klösel K , Hierold C 
Published: July 2021

Abstract
We demonstrate memristive functions of the room temperature thermoelectric material Bi-Se fabricated by electrochemical deposition in combination with active electrode Ag-based contacts. We present microfabrication steps for creating polymer molds for the growth of compact memristive films. The electrical measurements show clear forming-free resistive switching behaviour for the electrochemically deposited material while temperature dependent measurements point to Schottky and space-charge-limited-current conduction mechanisms. For the envisioned combination of the memristors with a thermoelectric device we can conclude that electrodeposition is a viable method to produce silver-chalcogenide based non-volatile memristors for co-integration in zero power sensors.
A biokinetic model for systemic sodium
Authors: Samuels Caleigh , Leggett Rich 
Published: July 2021

Abstract
This paper describes an updated biokinetic model for systemic sodium (Na), developed for use in a series of reports by the International Commission on Radiological Protection (ICRP) on occupational intake of radionuclides. In contrast to the ICRP’s previous model for intake of radio-sodium by workers, the updated model depicts realistic directions of movement of Na in the body including recycling of activity between blood and tissues. The updated model structure facilitates extension of the baseline transfer coefficients for adults to different age groups and to special exposure scenarios such as transfer of radio-sodium from the mother to the foetus or the nursing infant. Dose coefficients for 22Na and 24Na based on the updated model generally do not differ greatly from those based on the ICRP’s previous Na model when both models are connected to the ICRP’s latest dosimetry system. The main exception is that the updated model yields roughly twofold higher dose coefficients for endosteal bone surface than does the previous model due to the dosimetrically cautious assumption in the updated model that exchangeable Na in bone resides on bone surface.
CT radiomic features of photodynamic priming in clinical pancreatic adenocarcinoma treatment
Authors: Vincent Phuong , Maeder Matthew E , Hunt Brady , Linn Bryan , Mangels-Dick Tiffany , Hasan Tayyaba , Wang Kenneth K , Pogue Brian W 
Published: July 2021

Abstract
Photodynamic therapy (PDT) offers localized focal ablation in unresectable pancreatic tumors while tissues surrounding the treatment volume experience a lower light dose, termed photodynamic priming (PDP). While PDP does not cause tissue damage, it has been demonstrated to promote vascular permeability, improve drug delivery, alleviate tumor cell density, and reduce desmoplasia and the resultant internal pressure in pre-clinical evaluation. Preclinical data supports PDP as a neoadjuvant therapy beneficial to subsequent chemotherapy or immunotherapy, yet it is challenging to quantify PDP effects in clinical treatment without additional imaging and testing. This study investigated the potential of radiomic analysis using CT scans acquired before and after PDT to identify areas experiencing PDT-induced necrosis as well as quantify PDP effects in the surrounding tissues. A total of 235 CT tumor slices from seven patients undergoing PDT for pancreatic tumors were examined. Radiomic features assessed included intensity metrics (CT number in Hounsfield Units) and texture analysis using several gray-level co-occurrence matrix (GLCM) parameters. Pre-treatment scans of tumor areas that resulted in PDT-induced necrosis showed statistically significant differences in intensity and texture-based features that could be used to predict the regions that did respond (paired t-test, response versus no response, p < 0.001). Evaluation of PDP effects on the surrounding tissues also demonstrated statistically significant differences, in tumor mean value, standard deviation, and GLCM parameters of contrast, dissimilarity and homogeneity (t-test, pre versus post, p < 0.001). Using leave-one-out cross validation, six intensity and texture-based features were combined into a support-vector machine model which demonstrated reliable prediction of treatment effects for six out of seven patients (ROC curve, AUC = 0.93). This study provides pilot evidence that texture features extracted from CT scans could be utilized as an effective clinical diagnostic prediction and assessment of PDT and PDP effects in pancreatic tumors. (clinical trial NCT03033225)
Optimal networks revealed by global mean first return time
Authors: Peng Junhao , Shao Renxiang , Wang Huoyun 
Published: July 2021

AbstractRandom walks have wide application in real lives, such as target search, reaction kinetics, polymer chains, and so on. In this paper, we consider discrete random walks on general connected networks and focus on the global mean first return time (GMFRT), which is defined as the mean first return time averaged over all the possible starting positions (vertices), aiming at finding the structures which have the maximal (or the minimal) GMFRT. Our results show that, among all trees with a given number of vertices, trees with linear structure are those with the minimal GMFRT and stars are those with the maximal GMFRT. We also find that, among all unweighted and undirected connected simple graphs with a given number of edges and vertices, the graphs maximizing (resp. minimizing) the GMFRT are the ones for which the variance of the nodes degrees is the largest (resp. the smallest).
An outlier analysis on the trend of Indonesian propensity to save
Authors: Cahyono Edi , Laome Lilis , Syarif Muh. , Saidi La Ode , Makkulau  , Raharjo Swasono 
Published: July 2021

Abstract
Economic cycle is in the interest of researchers as well as governments. Kaldor model of economic cycle is among the existing models. This model is a system consists of two difference equations for discrete model, and two differential equations for continuous model. Two functions of time playing role to the model are capital and production. Saving and investment as functions of capital and production also appear in the model. Often, saving is assumed as a linear function where it is a multiplication of production and a parameter the so-called propensity to save. Hence, it is assumed to be constant. In this paper, Indonesian propensity to save was analyzed. The production is the gross domestic product (GDP). The data of GDP and saving were collected from World Bank. Outlier detection was applied to anlyze the data. Neglecting the outlier, the propensity to save was obtained in the form of logarithmic function. The finding is inline with an economic assumption, and it will be important for studying the Indonesian economy.
Phonon polaritons in a bilayer ferroelectrics structure with a polarization coupling at the interface
Authors: Gunawan V , Subagio A , Umiati N A K 
Published: July 2021

Abstract
In this paper, we discuss the optical properties of a bilayer ferroelectrics structure comprised of two different types of ferroelectric materials. The interface interaction between these two ferroelectric materials is considered. This interaction requires the entire-cell effective medium treatment where each layer of ferroelectric is sliced into several latticed. Then, by applying Landau-Khalatnikov (LKh) equation of motion in each lattice and solving it simultaneously, the dynamic susceptibility of the bilayer system can be determined. By employing Maxwell equations, we derive the dispersion relation, which can be solved numerically using the root-finding technique. Since here we use two ferroelectric with different resonant frequencies, then the polaritons can also be found around these two frequencies. Hence, there are two leading bulk bands in the dispersion relation. The existence of polarization coupling between two ferroelectrics at the interface generates the narrow additional bulk bands in the dispersion relation. We found that these additional bulk bands are affected by the strength of interface coupling and the number of lattices in each involved layer. We also found that the increase of the thickness of the layers weaken the additional bulk bands.
High fluorescent carbon dots/Ag as a sensitive sensor for tetracycline waste in aqueous solution
Authors: Alkian I , Sutanto H , Hadiyanto H , Hidayanto E , Hapsari H P , Wibowo A A , Syahida A N , Irianti F D D 
Published: July 2021

Abstract
Currently, antibiotics waste produced by hospitals and pharmacies is increasing, increasing demand and public consumption. Tetracyclines are a popular type of antibiotic that can pollute the environment even in low concentrations. This study aimed to detect tetracyclines in an aqueous environment using C-dots/Ag. C-dots material was synthesized by microwave radiation method with the addition of Ag 0-4 %. C-dots/Ag is produced in the form of a brown-black powder that glows green. FTIR testing shows that C-dots/Ag contains various functional groups O-H, N-H, C-H, C=O, and C=C. The surface morphology of the C-dots based on SEM testing is round and rough. Ag’s addition causes C-dots’ surface morphology to agglomerate, shifting the C-dots’ absorbance peaks towards a larger wavelength and decreasing the energy bandgap. C-dots/Ag 2% has the best optical properties based on the intensity of the resulting fluency. In general, C-dots/Ag has excellent potential to be a susceptible, selective, and effective tetracycline detection agent.
Measurement performance quality of services (QoS) to optimizing on wireless sensor network topology for water pollution monitoring system
Authors: Ghozali M I , Sugiharto W H , Susanto H , Budihardjo M A , Suryono S 
Published: July 2021

Abstract
The problem of the need for clean water is very important. The several diseases triggered by poor water quality reach more than 200 cases each year and cause more than 5 million deaths worldwide. Thus, monitoring water quality becomes important for the availability of safe and clean water. Wireless sensor networks have become a promising alternative to adopted for supplementing the conventional monitoring process. This network allows measurements from the remote location in real-time and with little human intervention. Wireless sensor network topology performance will support the stability of real-time data transmission. The difference in network topology between each router-node station affects the disruption of data distribution. Quality of Services (QoS) measurement is based on wireless sensor connectivity in transmit sensor data from several parameters, including temperature, total dissolved solids, and pH in the node station to the website service. The delay in transmitting data affects the performance of the measurement of the water pollution monitoring system.
Influence of the calcination temperature on the formation of precipitated ZnO:Ce nanocrystal by employing ultrasound irradiation
Authors: Rohmaniah S , Nurhasanah I 
Published: July 2021

Abstract
Cerium doped Zinc Oxide (ZnO:Ce) nanocrystals were synthesized through precipitation of nitrate solution by employing ultrasound irradiation. The precipitate products were calcinated at various temperature. The calcination temperature is an important key on the formation and properties of nanocrystal. This paper studied influence of calcination temperature on the formation and optical properties of ZnO:Ce nanocrystal. ZnO:Ce nanocrystals were characterized by x-ray diffractometer and UV-Vis spectrophotometer. The x-ray diffraction patterns revealed the formation of hexagonal wurtzite crystal structure for ZnO:Ce nanocrystals. The increase in calcination temperature improved crystallinity and reduced the band gap energy of ZnO:Ce. The result showed that the calcination temperature strongly influenced ZnO:Ce nanocrystals formation. The optical properties of ZnO:Ce nanocrystal can be modified by varying calcination temperature.
Atmospheric dynamics and early warning system low level windshear for airport runway hazard mitigations
Authors: Gernowo R , Subagio A , Adi K , Widodo A P , Widodo C E , Putranto A B 
Published: July 2021

Abstract
Natural disaster nowadays often occur in Indonesia due to climate change, especially those related to atmospheric dynamics anomalies. The statutory event of atmospheric turbulence statistically is quite significant in its improvement. This is an important issue to conduct research both in the analysis of atmospheric dynamics and early detection solutions for these events. The Windshear phenomenon is an atmospheric turbulence disaster that occurs below an altitude of 3000 feet, often known as low level windshear (LLWS), which is very dangerous for planes taking take-off or landing. Its effect on the aircraft will result in increased airflow on the wings, so this increased airflow will result in a sudden increase in aircraft speed. If the pilot is not aware of the indication of the windshear, he will instinctively throttle back to reduce/compensate for the aircraft’s speed. However, once the plane passes through the wind shear zone, the wind suddenly turns into a downdraft. The design of windshear early detection devices have been developed to complement research on the dynamics of the atmosphere. The results obtained are anomalous changes in temperature and atmospheric pressure at this time, and the windshear sensor can detect it well.
Hydrocarbon identification by evaluating anisotropy parameters estimated from crosswell seismic data
Authors: Suroso T , Triyoso W , Priyono A 
Published: July 2021

Abstract
This study aims to identify hydrocarbon by evaluating anisotropy parameters estimated from corsswell seismic data. Several approaches were performed in this study included shear wave splitting (SWS) and angle-based velocity variation (VVA) methods. Anisotropy coefficient K was estimated by SWS method and anisotropy parameters ε, δ, and γ were estimated using modified Thomsen’s equations in Vertically Transverse Isotropy (VTI) medium applied to Crosswell seismic geometry. The velocity variation was observed when pressure (P) wave propagated through a layered media containing hydrocarbon. The P-wave velocity was decreasing along with the increasing of the incidence angle and the calculated values of anisotropy (ε, δ, γ, and K) on the target zone within interval 1390 m to 1820 m depth were relatively high compared to the zone does not contain hydrocarbon. The evaluation was verified with Poisson’s, pressure wave velocity (VP) and shear wave velocity (VS) ratio analyses and validated to the existing petrophysics data. In conclusion, anisotropy values (ε, δ, γ and K) and velocity variation with angle of incidence have a positive relationship with hydrocarbon and applicable as a tool for identifying the presence of hydrocarbon in layered media.
Information system for diagnosing Neonatal Jaundice using rule-based algorithm
Authors: Anggraini D , Widyawati M N , Suryono S 
Published: July 2021

Abstract
Neonatal jaundice often occurs in newborns characterized by a yellow discoloration of the sclera and baby’s skin due to high levels of bilirubin in the blood. The occurrence of jaundice needs done identified to the development of hyperbilirubinemia which has the potential to become a toxic that can cause kernicterus. Detection of jaundice by manual (visual) is still often done by parents and health workers, so that the results of the diagnosis obtained are less accurate. This study proposes an innovative used of information systems in detecting jaundice using the SDLC (Systems Development Life Cycle) method with a waterfall model. Retrieval of data in this study with a quasi experiment using non-probability sampling with consecutive sampling on 48 newborn respondents. The result of this study indicate that the information system that has been built can detect jaundice faster as much as 2.1 minutes with an accuracy rate of 91.7%, can provide appropriate solutions and an effective level of use of information systems of 90.5% which can be used as an innovation in helping overcome jaundice problems.
Information system for diagnosis in pregnant chronic energy deficiency using a rule based system algorithm
Authors: Sustamy R P , Widyawati M N , Suryono S 
Published: July 2021

AbstractThe condition of Chronic Energy Deficiency (CED) has become one of the causes of high maternal mortality. Improper handling of CED will have an impact on the health problems of both mother and baby. This is because when the diagnosis is still using conventional methods, so it takes a long time or is not time efficient, an alternative is needed to improve the quality of information system-based services in diagnosing mothers with CED. In this research, an information system design was carried out using the SDLC (System Development Life Cylce) method with the waterfall model which includes: needs analysis, design, implementation, and offer. Analysis of speed data using respondents 15 chronic energy deficiency pregnant and static test using Mann Whitney obtained p-value 0.000 p <0.05, meaning that the information system built has a significant effect on the difference in speed in making diagnoses. This information system can be applied in health facilities.
Analysis of image information of diffusion weighted image (DWI) MRI on stroke ischemic using unsharp mask technique
Authors: Mahanani A , Anwar M C , Kartikasari Y , Indrati R 
Published: July 2021

Abstract
Magnetic Resonance Imaging (MRI) is one of the modalities that can be used to diagnose stroke ischemic using the Diffusion Weighted Image (DWI) sequence. However, DWI sequence has a weakness. It is the presence of low signal levels which will result an image bluring. One way to reduce the bluring is by adding Propeller technique. Yet, the disadvantage of using this technique is that it takes longer time to do it. The unsharp mask technique is a post processing technique that is used to improve an edge information on the image and reduce bluring from the image. The purpose of this study is to determine the difference in image information after the unsharp mask technique is performed on the Ischemic Brain Stroke MRI Examination on DWI Sequences. This research is a quasi experimental with a Pre Post Test Only Group Design. The resulting image is given unsharp mask techniques with matrix variations 3x3, 5x5, and 7x7. The Friedman statistical test results for image information obtained p-value <0,05 which means that there is a difference in image information between before and after unsharp mask technique with increase the detail and edge on digital image and produces image information optimally by giving a 3x3 matrix.
Application of intensity transfer function (ITF) on MRI ekstremity with soft tissue tumor to improve image quality
Authors: Liscyaningsih I A N , Mulyantoro D K , Ardiyanto J , Kartikasari Y 
Published: July 2021

Abstract
MRI examination of extremities with soft tissue tumors are constrained in insufficient coils with enlarged objects. Recently the solution used with a larger coil such as the abdominal coil. The use of inappropriate coils will have an impact on the deterioration of image quality. The way to improve image quality is to increase Number of Exitation (NEX), but it will increase scan time and have an impact on patient comfort. Patients who are uncomfortable during the examination will make movements that can cause artifacts. Intensity Transfer Functin (ITF) is carried out to help improve image quality without increasing NEX. The purpose was to improve the image quality of Signal to Noise Ratio (SNR) and Contrast to Noise Ratio (CNR). This research is a quasi experimental with a Pre Post Test Only Group Design. MRI image of the extremity obtained with the specified inclusion criteria and then the ITF is implemented. Data were analyzed by statistical tests Paired T Test. The results of the application of ITF on MRI Extremities can improve the SNR with p-value <0,001, and CNR with p-value <0,047.
Optimization dose and image quality enhancement of ct scan with back projection filters on the use of automatic exposure control
Authors: Fitriana L , Adi K , Ardiyanto J 
Published: July 2021

Abstract
Dose and image quality are two important parameters in CT Scan examination. The radiation dose produced at the CT scan is far greater than the radiation dose of the conventional radiological examination, so the utilization must be as good as possible. On Siemens CT Scan there is an automatic exposure control software, with expectations that the radiation dose received by the patient can be reduced because the software is an auto mA that is adjusted to the thickness of the object, but the impact of using the software causes a decrease in image quality, so it needs to be done image improvement using a back projection filter (BPF). Experimental research by applying a back projection filter to the Scan Head image on axial sections. Image assessment using 2 radiologists with data analysis using statistical processing and image post processing. CT Scan image information Head axial pieces experience differences in image information between before and after the back projection, with the mean value in each group experiencing an increase in image quality in the group after a back projection filter. Where the image after the back projection filter by applying automatic exposure control with kV 110 is the most optimal kV.
Comparative in anatomical information and artifacts between T2W TSE Cartesian sequences and T2W TSE BLADE sequences on axial cervical MRI examinations
Authors: Murniati E , Rochmayanti D , Purnomo T 
Published: July 2021

Abstract
Observation of the T2W TSE Cartesian sequence of Axial Cervical MRI Examinations still lacks a blurring on the image. One solution to overcome the blurring problem is using the BLADE trajectory. According to Finkenzeller (2014) states that TSE BLADE is significantly superior with optimum sharpness, depiction of cerebral spinal fluid, and detection of all lesions. In addition, TSE BLADE can suppress motion artifacts. The purpose of this study was to determine differences in anatomic information and artifacts between the T2W TSE Cartesian and BLADE on axial MRI cervical examination and which sequences were more optimal in terms of anatomic information and artifacts. This type of research is a quantitative study with an experimental approach involving 10 volunteers and 2 respondents specializing in radiology. Each voluntary MRI cervical examination was performed using axes T2W TSE Cartesian and BLADE sequences. Image results were examined by respondents to obtain anatomical information and artifact. The data were processed and analyzed using Cohen’s Kappa test and Wilcoxon test. The results showed that there were differences in anatomic information and artifacts between the T2W TSE Cartesian and BLADE on axial MRI cervical examinations with p-values of 0.038 or p <0.05 for differences in anatomic information, and p-values of 0.024 or p <0.05 for differences in artifacts. Sequence test results indicate that the TSE BLADE is more optimal than the TSE Cartesian, using the TSE BLADE sequence can suppress blurring artifacts so as to improve anatomical information. Conlusion: There is a difference in anatomical and artifact information between T2W TSE Cartesian and T2W TSE BLADE on Axial Cervical MRI examination. T2W TSE BLADE is superior compared to T2W TSE Cartesian