bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immigrant linguistic integration in the multilingual context of Montreal
Authors: Bousmah Ibrahim , Grenier Gilles 
Published: July 2021

Abstract
We investigate the relative intensity of use of English and French at home for allophone immigrants in the Montreal metropolitan area. We find that the linguistic distances between immigrants’ mother tongues and English and French have an important impact on the relative intensities of use at home of the two Canadian official languages. However, immigrants whose mother tongues are closer to French than to English are relatively less likely to use an official language at home. We further investigate the role of spousal and other characteristics on the integration of immigrants. The results suggest that the home environment is an important factor contributing to the linguistic integration. Individuals exposed to an official language at home with their spouse have significantly higher rates of linguistic integration. Also, English is more attractive than French in the sense that immigrants with an Anglophone partner will have higher integration rates to English than those with a Francophone partner integrating to French.
Robust photothermal anti-icing/deicing via flexible CMDSP carbon nanotube films
Authors: Xu Jing , Gong Xiaojing , Ramakrishna Seeram 
Published: July 2021

Abstract
Photothermal anti-icing/deicing technology is an environmentally friendly surface technology that can be applied to the surface of aircraft, vehicles or ships. However, it is still a huge challenge to develop a strong and stable flexible film that can efficiently convert light to heat. Here, based on a simple electrochemical method to construct a zinc oxide (ZnO) nanoneedles structure on the surface of the carbon nanotube film, a film with the function of condensed micro-droplet self-propelling (CMDSP) was successfully prepared. The prepared film has excellent light absorption capacity and high energy transfer efficiency (76.71%). The film has strong photothermal anti-icing/deicing performance. Under 4406 Lux light irradiation, even under low temperature conditions of −5 °C, the icing delay time exceeds 4 h. This novel characteristic is attributed to the CMDSP function on the surface and the ultra-fast evaporation mechanism, which can remove water droplets on the surface as quickly as possible. This function helps to design energy-saving equipment that requires high-power heating and deicing.
Observation of blackbody radiation enhanced superradiance in ultracold Rydberg gases
Authors: Hao Liping , Bai Zhengyang , Bai Jingxu , Bai Suying , Jiao Yuechun , Huang Guoxiang , Zhao Jianming , Li Weibin , Jia Suotang 
Published: July 2021

Abstract
An ensemble of excited atoms can synchronize emission of light collectively in a process known as superradiance when its characteristic size is smaller than the wavelength of emitted photons. The underlying superradiance depends strongly on electromagnetic (photon) fields surrounding the atomic ensemble. High mode densities of microwave photons from 300 K blackbody radiation (BBR) significantly enhance decay rates of Rydberg states to neighbouring states, enabling superradiance that is not possible with bare vacuum induced spontaneous decay. Here we report observations of the superradiance of ultracold Rydberg atoms embedded in a bath of room-temperature photons. The temporal evolution of the Rydberg |nD⟩ to |(n + 1)P⟩ superradiant decay of Cs atoms (n the principal quantum number) is measured directly in free space. Theoretical simulations confirm the BBR enhanced superradiance in large Rydberg ensembles. We demonstrate that the van der Waals interactions between Rydberg atoms change the superradiant dynamics and modify the scaling of the superradiance. In the presence of static electric fields, we find that the superradiance becomes slow, potentially due to many-body interaction induced dephasing. Our study provides insights into many-body dynamics of interacting atoms coupled to thermal BBR, and might open a route to the design of blackbody thermometry at microwave frequencies via collective, dissipative photon-atom interactions.
Quantum logic inspired techniques for spacetime-symmetry tests with (anti-)protons
Authors: Cornejo Juan M , Lehnert Ralf , Niemann Malte , Mielke Johannes , Meiners Teresa , Bautista-Salvador Amado , Schulte Marius , Nitzschke Diana , Borchert Matthias J , Hammerer Klemens , Ulmer Stefan , Ospelkaus Christian 
Published: July 2021

Abstract
Cosmological observations as well as theoretical approaches to physics beyond the standard model provide strong motivations for experimental tests of fundamental symmetries, such as CPT invariance. In this context, the availability of cold baryonic antimatter at CERN has opened an avenue for ultrahigh-precision comparisons of protons and antiprotons in Penning traps. This work discusses an experimental method inspired by quantum logic techniques that will improve particle localization and readout speed in such experiments. The method allows for sympathetic cooling of the (anti-)proton to its quantum-mechanical ground state as well as the readout of its spin alignment, replacing the commonly used continuous Stern–Gerlach effect. Both of these features are achieved through coupling to a laser-cooled ‘logic’ ion co-trapped in a double-well potential. This technique will boost the measurement sampling rate and will thus provide results with lower statistical uncertainty, contributing to stringent searches for time dependent variations in the data. Such measurements ultimately yield extremely high sensitivities to CPT violating coefficients acting on baryons in the standard-model extension, will allow the exploration of previously unmeasured types of symmetry violations, and will enable antimatter-based axion-like dark matter searches with improved mass resolution.
Cascading failures of overload behaviors using a new coupled network model between edges
Authors: Yan Yu-Wei , Jiang Yuan , Yu Rong-Bin , Yang Song-Qing , Hong Cheng 
Published: July 2021

Abstract
With the development of network science, the coupling between networks has become the focus of complex network research. However, previous studies mainly focused on the coupling between nodes, while ignored the coupling between edges. We propose a novel cascading failure model of two-layer networks. The model considers the different loads and capacities of edges, as well as the elastic and coupling relationship between edges. In addition, a more flexible load-capacity strategy is adopted to verify the model. The simulation results show that the model is feasible. Different networks have different behaviors for the same parameters. By changing the load parameters, capacity parameters, overload parameters, and distribution parameters reasonably, the robustness of the model can be significantly improved.
Effect of vacancy defects on electronic band structure and magnetic moment of single-layered graphene: a density functional theory study
Authors: Yusran L O , Asih R , Arifin R , Darminto  
Published: July 2021

Abstract
In the present work, the density functional theory is used to study the electronic band structure and magnetic moment of single-layered pristine graphene and graphene with vacancy defects. The 4x4x1 supercell graphene consisting of 32 C atoms is used as pristine graphene (PG) and made the structure with a single vacancy (1V) and double vacancies (2V). The results show that the Dirac cone that exists in pristine graphene disappears in the graphene with vacancies. The DOS of spin up and down electrons in graphene with vacancies shows a mismatch, which is due to unpaired electrons. Vacancy defects also cause the presence of states at the Fermi level, which are not found in pristine graphene. Then, the double vacancies have a higher magnetic moment value than the single vacancy.
Fabrication of solar cells based on a-Si: H layer of intrinsic double (P-i

x

-i

y

-N) with PECVD and Efficiency analysis
Authors: Prayogi Soni , Cahyono Yoyok , Darminto  
Published: July 2021

Abstract
The main idea of this research is to fabricate solar cells by doubling the intrinsic layer (P-i

x

-i

y

-N) a-Si:H by using PECVD. Double solar cell intrinsic layer (P-i

x

-i

y

-N) a-Si:H grown on glass substrates Indium Tin Oxide (ITO). To get double the intrinsic layer made with silane plasma dilution by hydrogen, with a ratio of hydrogen and silane, R = H2/SiH4 varied, while the extrinsic layer of n-type and n-type made constant for each sample. Then on the sample in the metal layer on the rear that act as electrical contacts and reflector light. Next on each sample were characterized or tuned physical properties, namely morphology thickness, optical properties are bandgap, the nature of electric namely electrical conductivity and characterization I-V solar cell layer of intrinsic double (P-ix-iy-N) a-Si: H with a sun simulator and sunlight. From the measurement of electrical conductivity of each sample seen that, fotorespon (σph/σpd) extrinsic layer which is the ratio of the light conductivity to the dark conductivity showed a value of not more than 101, while fotorespon (σph/σpd) layer can intrinsik reaches 105. Based on the characterization of I-V solar cell doubles the intrinsic layer (P-i

x

-i

y

-N) a-Si: H obtained in this study, resulting in really good conversion efficiency (8.48%).
Magnetoimpedance effect in symmetry and non-symmetry multilayers [Ni80Fe20/Cu]x/Cu/[Ni80Fe20/Cu]6-x on PCB Cu substrate
Authors: Rusydan DA , Putra CT , Sutomo AD , Nuryani  , Purnama B 
Published: July 2021

Abstract
The effect of magnetoimpedance (MI) on the multilayers [Ni80Fe20/Cu]x/Cu/[Ni80Fe20/Cu]6-x system i.e., symmetry (x = 3) and non-symmetry (x = 5) with the same total of thickness has been investigated. The multilayer samples were deposited on the meandered PCB Cu substrates by the electrodeposition methods. Whereas the MI ratio is carried out by the total impedance measurement at the frequency of 100 kHz under the sequence of magnetic fields. The MI measurements result show that the symmetry structure has a much larger MI ratio compared to non-symmetry structure. The open-magnetic flux configuration of the non-symmetry structure contributes to the lower MI ratio. Finally, the increase of the MI ratio with the increase of frequency is also confirmed in this experiment.
Synthesis, Characterization, and Photodegradation Activity of Fe3O4@ZnO Nanoflowers
Authors: Mufti Nandang , Muyasaroh Anisa Fitri , Maulidah Ilmi Nur Faizana , Yusra Deris Afdal , Sunaryono  
Published: July 2021

Abstract
Technological advancement nowadays is detrimental to the environment. To deal with such a problem, waste decomposition should be carried out to produce a clean and healthy environment. In this study, the photodegradation method was used because it has advantages in efficiency and stability. The material used as a photodegradation catalyst was Fe3O4@ZnO nanoflowers. The synthesis of Fe3O4@ZnO nanoflowers was carried out using coprecipitation method for Fe3O4 and precipitation for composites. The variations in the mass of the catalyst used in this study were 50, 100, and 150 mg. The samples were characterized using an X-Ray Diffractometer (XRD) to analyze the phase, size, and crystal structure, Scanning Electron Microscopy (SEM) to determine morphology, and a photodegradation test to measure the photodegradation activity. The grain sizes of Fe3O4 and ZnO nanoflowers based on the Scherrer equation were 12.12 nm and 32.29 nm, respectively. Based on SEM characterization, the morphology of Fe3O4@ZnO nanoflowers showed a flower-like structure with an average diameter of 3.2 µm. The best performance of phenol photodegradation activity is 54.3 % obtained in the first cycle of 150 mg Fe3O4@ZnO nanoflowers under solar irradiation.
Fabrication And Analysis Of 3d Wind Sonic Using A Dual Transduser Sensor Arrangement
Authors: Barus E E , Muntini M S , Louk A C 
Published: July 2021

Abstract
In this research, Wind Sonic 3D fabrication and analysis have been carried out using the time of flight method and dual transducer sensor arrangement. The distance between the transducers (transmitter 1 – receiver 1) on each axis is 16 cm and the distance between the transducers (transmitter 1-receiver 2 and transmitter 2-receiver 1) is 3 mm and 10 mm. Wind sonic 3D uses a 40 kHz ultrasonic sensor. The wind sonic sensor calibration process is carried out in two conditions, namely conditions without interference and conditions with a wind speed of 2.3 m/s at two variations of the distance between the transducers. At the distance between the 3 mm transducer and the state without interference, the measurement range obtained is - 0.19 – 0.19 m/s and the state of wind speed is 2.3 m/s. The difference in the measurement range is -0.19 – 0.29 m/s with a percentage error value between 0-12.62 %. At the distance between the transducer of 10 mm with a state without interference, the measurement range obtained is 0 – 0.14 m/s and the state of wind speed is 2.3 m/s the difference in the measurement range is 0 – 0.21 m/s with the percentage error value on the X-axis between 1.28% - 9.14%, Y-axis between 0.29% - 8.61% and Z-axis between 0.05% - 7.44%. Based on the results of the calibration, it can be seen that to use a dual transducer sensor arrangement in wind sonic 3D, the minimum distance between the transducers is 10 mm to reduce the occurrence of wave interference and measurement errors.
Frequency response of Quartz Crystal Microbalance under uniaxial force
Authors: Zafirah T N , Triqadafi A O , Kusuma F J , Sakti S P 
Published: July 2021

Abstract
Piezoelectric material produces electric fields due to a change of material dimension as an impact of external force/stress applied. One of the piezoelectric materials that widely used for a sensor is quartz crystals. Cutting crystal at its AT-Cut angle causes this material to have piezoelectric properties. Phenomena that occur on quartz surfaces can be observed and expressed as changes in the resonance frequency of sensors. In this experiment, a continuous uniaxial force from 0 N to 10 N was applied to the surface of the quartz crystal microbalance (QCM). The result shows that the resonance frequency of the QCM depends on the applied force. The resonance frequency increases as the applied force is increased. When the applied force is gradually decreased, the resonance frequency is also decreased and back to its original resonance frequency when there is no applied force. The frequency change of the sensor was linearly depend on the applied uniaxial force to the sensor.
Simulation of active noise reduction using LMS algorithm: synthetic and field data
Authors: Feriadi Y , Basir  , Sahran  , Taufiq M , Atmojo AY 
Published: July 2021

Abstract
Simulation of active noise reduction using least mean squares (LMS) algorithm was carried out to support the development of the ANC (active noise control) prototype, which will be applied to a four-wheeled medium class gasoline-fueled Multi-Purpose Vehicle (MPV) with 2000-2400 cc engines. In this simulation, the LMS is applied to a set of synthetic and field data, to focus on the LMS being successfully applied to all field data, ignoring the delay time between errors and references microphone, and obtaining the optimal LMS step-size and order. Based on the simulation, positive result is shown by the LMS algorithm, where the best result, the superposition of the noise and antinoise signal attenuates and reaches convergence in about 20 ms. In addition, changes in the value of LMS orders do not significantly influence LMS predictions. On the other hand, the change in the step-size value is quite influential on the prediction, where the smaller the step-size, the longer the superposition time to reach convergence.
Thickness Measurement of Polystyrene Coating on QCM Sensor using Interferometvanry Principles
Authors: Anggraeni D , Sakti S P 
Published: July 2021

Abstract
Coating film thickness is one of many important aspects in the development of Quartz Crystal Microbalance (QCM) for chemical sensors and biosensors. The coating layer is utilized as a matrix layer for the bio-sensitive molecule or as a sensitive layer. Also, the coating thickness is an important physical parameter, which determines the sensitivity and stability of the QCM sensor. Commonly for the thin film or glassy film, the Sauerbrey equation was used to calculate the film thickness. However, the method is inaccurate for a rubbery film. In this study, a non-destructive method was developed to measure the thickness of a transparent layer deposited on QCM using the interferometry method. This interferometry method uses the principle of coherent light interference between the initial laser beam and the one that has passed through a transparent layer. In this work polystyrene film which is known as a glassy film was used. The results of this study show that the interferometry method can be used to measure the thickness of the polystyrene layer deposited on the QCM sensor, as a non-destructive measurement method. These results are validated by calculations from the Sauerbrey equation, in calculating the thickness of polystyrene-based on changes in the frequency of the QCM sensor, which is 0.421 micrometers.
Radio Frequency Interference Measurement in VHF and UHF Band at Kupang Area
Authors: Sitompul Peberlin , Batubara Mario , Manik Timbul , Suhandi Bambang 
Published: July 2021

Abstract
The radio frequency interference (RFI) measurements at Tilong, Kupang Area, was reported. The measurement is intended to obtain the RFI in frequency of 50 MHz up to 2 GHz by using dipole antenna, and a log periodic antenna for additional and Spectrum Analyser MS2721B. The measurements are to identify the RFI in Kupang Area, in Indonesia for the future plan in radio development for astronomy research and others. The dominant radio frequency with high power intensity are in frequency 76-225 MHz, 530-551 MHz, 580-760 MHz, 920-968 MHz.
Anthocyanin Development from Fruit Waste for Dye Sensitized Solar Cell Applications
Authors: Puspitasari Nurrisma , Prajitno Gontjang , Mas Fakarani Fara Safira , Yudoyono Gatut , Darminto  
Published: July 2021

Abstract
Utilization of two parts of dragon fruit as a sensitizer greatly affects the performance and production costs of Dye Sensitized Solar Cells (DSSC). Anthocyanin of natural dyes extracted from rind and flesh of dragon fruits are appear as potential candidates for photosensitizers because they are low cost, widely available, enviromental friendly and easy to make. Here, we use titanium dioxide as semiconductor for photoanode, carbon as catalyst for counter electrode, three various of dyes as sensitizer: dyes from dragon fruit grind (D1), dyes from dragon fruit flesh (D2), and D1 & D2 mixture. This DSSC is investigated with various characterizations, namely: optical characterization using UV-Vis spectrophotometer, functional group characterization of dyes using FTIR, electrical characterization using RLC and I-V meter. The outcome shows that dragon fruit flesh achieves cell efficiency of up to 0.48 percent, which is close to the highest anthocyanin values found in literature and the highest dragon fruit anthocyanin values.
Hybrid single-photon, coherent, and vacuum states interference in the six-ports Mach-Zehnder interferometer
Authors: Ripala D P , Suryadi  , Rohedi A Y 
Published: July 2021

Abstract
We present a theoretical study of the interferences between hybrid single-photon state, coherent state, and vacuum state in the designed medium of a six-ports Mach-Zehnder Interferometer (6p-MZI). The hybrid three different quantum states were simultaneously injected into the input ports of the interferometer. The derivation result demonstrated that the output state showed the statistical blend states among a substituted single-photon state, coherent state, and vacuum state. Interestingly, our calculation results attested that the maximum probability of detected photons at the individual interferometer output ports were significantly dependents on the amplitude of the inputted coherent state.
Earthquake Magnitude Estimation Based on Machine Learning: Application to Earthquake Early Warning System
Authors: Apriani M , Wijaya S K , Daryono  
Published: July 2021

Abstract
Indonesia has high level of seismic activity, so determining magnitude of an earthquake is important in the Earthquake Early Warning System. In the Earthquake Early Warning System, the parameter magnitude must be estimated earlier, so that warnings can be disseminated before the S and surface waves arrive. In previous studies machine learning technology can be used to recognized earthquake events and extract hidden information with massive datasets. This study was a preliminary, proposed the alternative methods to calculate the earthquake magnitude as fast as possible, the data was 1s before and 3 seconds after the P wave from the 3-component single station raw seismogram historical data and developed with a classification deep neural network (DNN) model, classical machine learning random forest (RF) algorithm and the regression deep neural network (DNN). Results from the statistical analysis show that the waveform can be modelled by deep neural network (DNN) models. Classification DNN Model that we constructed reaches good pattern which final loss of 0.63. If it benchmarked to another model such as Random forest (RF), Classification DNN was a better model than RF which is determined by final loss of RF. Our recommendation related to estimate the magnitude from seismic raw modelling are better using Classification DNN with larger dataset. In our study, with relatively small dataset, modelling using RF algorithm can be another option. Another suggestion related this work was utilizing the Regression DNN, that resulting best alternative related to estimation of magnitude.
Studied Report: Two Dimension Electric Field Simulation Effect of Zinc Oxide Nanorod Arrays for Glucose-Blood Monitoring
Authors: Nasori N , Tahier Ahmad R.H , Hafida Nura H. , Rubiyanto A 
Published: July 2021

Abstract
Diabetes is one of the most common diseases globally that is caused by glucose. Glucose binds to hemoglobin in Red Blood Cell in minor unit Haemoglobin A1c (HbA1c). A large HbA1c concentration in blood indicates that a person has diabetes. This study has the aim to determine the different electric field distribution along with the different concentrations of glucose on blood. Nanorod arrays in this research produced from previous research with AAO template, then ZnO deposited inside with geometry size 150x150x500 nm are irradiated with light in the UV Vis wavelength range. The medium in this research was on a blood model with different glucose concentrations which have low glucose (hypoglycemia), normal glucose blood, and high glucose concentration (hyperglycemia). Electric field distribution depends on medium and wavelength analysed to determine the optimal value for Glucose-Blood monitoring. The result shows that the distribution pattern of the electric field at ZnO nanorod arrays with different mediums has a different value. It indicated from electric field maximum peak, the color contour of electric field distribution, and the absorbance of ZnO nanorod arrays. Finally, we got the optimal wavelength use for glucose blood monitoring was on wavelength around 400 nm.