bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of wakafMu fundraising platform using HOT-FIT method
Authors: Artha E U , Medias F , Pambuko Z B 
Published: May 2020

AbstractMuhammadiyah as one of the social organizations engaged in religious, social, education and health has a very strategic and important role in society. One of the assets managed by Muhammadiyah is waqf, the existence of waqf has become very strategic because besides being an Islamic philanthropic institution, waqf also plays an important role in providing endowment for the ummah. Waqf which is managed by Muhammadiyah Regional Leadership (PDM) of Magelang also has constraints that cause the power of the role of waqf to be limited. One of them is majority of waqf is consumptive and in the form of land with minimal financial resources in its development. The main problem is the lack of the fundraising of endowment funds. Currently only fundraising information system models have been made but it has not been investigated whether this information system can obtain economic value so that productivity can be increased in the management of waqf assets. The method used in this research is to use the HOT-FIT method which aims to see the relationship between human, organization and technology of the Net Benefit from the application of waqf fundraising information systems obtained from quantitative data collection in PDM Magelang.
Experiment electrical motorcycle used solar energy with wireless transfer energy method for transportation in isolated regions
Authors: Widjanarka W , Sutiyatno S 
Published: May 2020

Abstract
Researchers usually create Wireless Transfer Energy (WET) using FET (Field Effect Transistor) transistor for different fields. FET-MOSFET has several advantages including its ability to reach quite long distance and LED load. This present research was conducted using bipolar power TC 5200 transistor. Transistor was utilized for its short distance of 2-5 cm but has quite big power. The background of this research, initially, is wireless electrical energy transfer through air, something that seems impossible. Researchers have attempted to discover several innovations several innovative methods to solve the issue. This research aims to create WET, a wireless electrical energy transfer, a process in which electricity is transmitted from one place to another place, with long distance, without wires connecting. The media connecting are through magnetic induction. This research is an experiment of Wireless Energy Transfer which is applied in an electrical motorcycle. This research used experiment method. The principle of inverter was tested on a basic circuit. The power supply utilized solar cell with 10-Watt, 20 Watt, and 50-Watt capacities and 12 Volts of voltage. This research generated 240 milliampere output.
Decision strategy for landslide event based on 4 parameters
Authors: Herlambang P , Suharjono A , Mukhlisin M 
Published: May 2020

Abstract
Landslides are typically caused by heavy rain in some locations that have a certain slope of land compounded by deforestation or earthquakes. For instance, in 2018 there were 148 reported landslides in the Banjarnegara highlands, Indonesia. By using that fact, some research has been done. The research is about the indicator parameters of landslides by combining rain gauge sensors, soil moisture sensors, ground shift sensors and groundwater pressure sensors using Arduino Promini. The data from sensor is sent through LoRa Bee to the database server using NodeMCU ESP8266 which is connected to the Internet in real-time through access points. The data that has been sent to the server will be processed and displayed on the website. In this paper, the author devises an algorithm for analysing the data from each sensor to a decision-making strategy. The decision-making method for an early warning of landslides uses a decision tree that compares the measured parameters with a predetermined threshold of each sensor. After analysis and testing, this system is expected to provide early warning of the landslides quickly and accurately.
Performance and soot emissions from direct injection diesel engine fueled by diesel-jatropha-butanol-blended diesel fuel
Authors: Syarifudin  , Syaiful  
Published: May 2020

Abstract
Jatropha renewable energy is widely used as diesel engine fuel due to the improving dependence on fossil diesel fuel and the volume of motor vehicles. Jatropha was chosen because it is non-edible energy and it is easily produced. However, high viscosity and low heating value become performance and emissions of diesel engine problems. Butanol is a low viscosity alcohol group and it contains oxygen in high volume. The addition of butanol is proven to improve performance and to reduce diesel engine emissions. This research observed the performance and soot emissions of a 4JB1 direct injection diesel engine fueled with a blended of diesel-jatropha-butanol fuel. The test was operated at 2500 rpm with a loading rate of 0 to 100% at an interval of 25%. The volume of the biodiesel mixture are 85/10/5, 80/10/10, 75/10/15, 75/20/5, 70/20/10, 65/20/15, 65/30/5, 60/30/10, 55/30/15 based on volume. Test result showed the use of fuel with jatropha which is contains 10% and 15% butanol having results in a higher performance increase and lower smoke opacity than the pure diesel fuel.
Anti-forensics: the image asymmetry key and single layer perceptron for digital data security
Authors: Mualfah D , Fatma Y , Ramadhan R A 
Published: May 2020

Abstract
Accessing or theft of public network information is very vulnerable to data transmission on public networks, this has an impact on the loss of those who have the information. In the digital forensic world, securing data is a technique for anti-forensic that aims to keep data safe. One way to secure information when sending is done is to encrypt the data and information. Encryption techniques play an important role in cryptography to hide text or messages into an image as a public key. The use of images as key objects is very effective for data security and the information cannot be read or unknown by unauthorized persons. In this case the asymmetric key cryptographic technique uses images and the single layer perceptron, asymmetric cryptography through the encryption and description process can produce data and information security keys that are difficult to guess. The use of keys is done by extracting image features using the GLCM (grey level co-occurrence matrix) to produce random symbols perfectly through the training process using a single layer perceptron encryption asymmetry key and description that can be accounted for integrity.
Markov Stability Analysis and Community Structure in Social Networks
Authors: Nikaj K , Ifti M 
Published: May 2020

Abstract
Individuals connected to realistic networks exhibit collective behavior. In order to characterize this phenomenon and explore the correlation between collective behaviors and locally interacting elements, we use statistical methods and visualization software as a combined approach to understand the behavior of the network for a given behavior of the agents that we use to recreate our network. The aim of this work is to identify the communities as hierarchical structures trying to find them between a giant component and a small-world network. By analyzing the data and describing how these networks fall in community structure, we aim to obtain new tools and methodology which will help us to describe how networks grow and fall apart in smaller structures, which have similar features with the large network, but different dynamics.
Preliminary design of the MAORY Calibration Unit
Authors: Antonio I Di , Rico G Di , Dolci M 
Published: May 2020

Abstract
MAORY (Multi-conjugate Adaptive Optics RelaY) is one of the first light instruments for the ESO Extremely Large Telescope (ELT). It will be firstly used by MICADO (Multi-AO Imaging CamerA for Deep Observations), a near-infrared high-angular resolution imager, to compensate aberrations and provide high-Strehl images within a (53” × 53”) Field of View (FoV). The complexity of MAORY requires calibration functionalities for both the AIV (Assembly-Integration-Verification) and the operational phase. The function of the Calibration Unit (CU) is keeping the high efficiency of the adaptive correction provided by MAORY during the operational phase, through proper calibration sources, acting as both Natural Guide Stars (NGS) and Laser Guide Stars (LGS) sources. An overview of the system, the status of the current design and the main challenges to face in the future are presented in this work.
Inflationary gravitational waves and exotic pre Big Bang Nucleosynthesis cosmology
Authors: Marco A Di , Gasperis G De , Pradisi G , Cabella P 
Published: May 2020

Abstract
According to the most popular scenario, the early Universe should have experienced an accelerated expansion phase, called Cosmological Inflation, after which the standard Big Bang Cosmology would have taken place giving rise to the radiation-dominated epoch. However, the details of the inflationary scenario are far to be completely understood. Thus, in this paper we study if possible additional (exotic) cosmological phases could delay the beginning of the standard Big Bang history and alter some theoretical predictions related to the inflationary cosmological perturbations, like, for instance, the order of magnitude of the tensor-to-scalar ratio r.

A post-publication change was made to this article on 4 Jun 2020 to correct the title on the webpage.
Characterisation of flare Soft X-ray distribution with solar magnetic activity
Authors: Foldes R , Berrilli F 
Published: May 2020

AbstractWe analyse the 0.1 — 0.8 nm solar soft X-ray flux catalogue from Geostationary Operational Environmental Satellites (GOES), managed by NASA/NOAA, between September 1978 and September 2017, in order to investigate the possible role of solar activity and solar cycle epoch on the distribution of soft X-ray peak fluxes. We concentrate our attention on the last three solar cycles because solar activity proxies seem to indicate a decrease in the magnetic activity of our star. We know that flare soft X-ray peak fluxes are characterised by a power-law distribution with an indexα≃ 2 that shows a minor dependence on solar cycle. More in detail, we study the dependence of the power-law parameters during each single solar cycle (cycles 21-24) and during different regimes of solar activity defined using three different proxies:i) Sunspot Number (SSN),ii) Mg II core-to-wing ratio (Mg II Index), andiii) solar radio flux at 10.7 cm or 2800 MHz (F10.7). The power-law estimation analysis is performed in maximum likelihood estimation (MLE) fitting method with goodness-of-fit based on Kolmogorv- Smirnov test. Preliminary results indicate that the power-law index shows a slight decrease as solar activity decreases. This except for the F10.7 proxy. More in-depth statistical analysis is necessary to confirm our findings.A post-publication change was made to this article on 22 Jun 2020 to correct the webpage title to match the pdf.
Proxima Centauri b: infrared detectability in presence of stellar activity
Authors: Galuzzo D , Berrilli F , Giovannelli L 
Published: May 2020

Abstract
We propose a general method to detect and characterize tidally-locked exoplanets in 1:1 spin/orbit resonance using the information coming from different infrared bands, analyzing the variation in time of the color of exoplanetary systems. We focus on the effects induced on the detectability of the system by the starspots of the active host-stars. The analysis is conducted on the Proxima Centauri system as a case study, comparing the results from a more complex 3D General Circulation Model simulation with a simple toy model. Our toy model includes the black-body emission in the infrared of the host-star, day-side and night-side of the tidally locked planet, as well as the starspots. The results are consistent with the 3D General Circulation Model and suggests that it is possible to disentangle the stellar activity effects from the presence of the planet in the exoplanetary system using the infrared color-color diagram technique.
Frequency-dependent squeezing generation with EPR entanglement
Authors: Garaventa B , Bawaj M , Laurentis M De , Pace S Di , Angelo B D’ , Khan I , Naticchioni L , Nguyen C , Sequino V , Sorrentino F , Zendri J P 
Published: May 2020

Abstract
The sensitivity of gravitational wave interferometric detectors is ultimately limited by the quantum noise, which arises from the quantum nature of light and it is driven by vacuum fluctuations of the optical field entering from the dark port of the interferometer. One way to improve the sensitivity of gravitational wave interferometers is to inject squeezed vacuum into the dark port. This has been already demonstrated for the main gravitational wave detectors (GEO, Advanced LIGO and Advanced VIRGO). We are studying tricks to produce a “frequency- dependent squeezing”: a standard method is to filter the squeezed optical field with one or more optical cavities (300 m long cavities). An alternative method using a pair of squeezed EPR (Einstein-Podolsky-Rosen) entangled beams to produce frequency-dependent squeezing by a non-degenerate OPO (Optical Parametric Oscillator) will be discussed in this paper. This method promises to achieve a frequency-dependent optimization of the injected squeezed light fields without the need for an external filter cavity.
Deep neural networks for analysis of Mercury’s planetary exosphere
Authors: Kazakov A N , Lazzarotto F , Orsini S , Milillo A , Mangano V , Angelis E De , Ivanovski S , Massetti S , Mura A , Rispoli R , Vertolli N , Aronica A 
Published: May 2020

Abstract
The emergence of Artificial Intelligence’s Deep Neural Networks (DNNs) as a method for analysis of spatial and temporal data gives us a new avenue for research of the processes inherent to planetary exospheres and their interaction with the planetary environment. Hereby, it will be presented a particular study on how in-situ observations of the elemental composition of Mercury’s exosphere may serve as an indication of the surface regolith mineral composition below, through predictions given by pre-trained DNNs. In this case the main driver, considered to generate the exosphere, is the micrometeoroid impact vaporization (MIV), which is seen as the dominant process in the night-side hemisphere of the planet. The training datasets will be constructed from randomly generated virtual surfaces, which will aim to generalize the training of the AI models to various types and compositions of the regolith. Different Neural Network models, which include fully-connected networks and Convolutional Neural Networks, will be compared both in giving supervised classification through multivariate regression predictions, and in reconstructing the regolith mineralogy maps. Furthermore, ways to expand the Deep Neural Networks to pattern recognition and knowledge discovery will be explored beyond the surface-exosphere interaction, as well as the possibilities for transfer learning and online learning with the acquisition of real planetary data. The development of such data analysis algorithms will be shown especially in view of the upcoming arrival of the ESA/JAXA’s BepiColombo mission to Mercury, the innermost planet, in 2025, with its variety of instruments able to capture the dynamics of the tenuous Hermean environment. Ultimately, would be targeted the implementation of such AI algorithms within the Ground Segment pipeline software architecture of the experiment BepiColombo/MPO/SERENA, composed by four ion and neutral particle detectors.
TECNOMUSE: a novel, RPC-based, muon tomography scanner for the control of container terminals
Authors: Preziosi E , Arcieri F , Caltabiano A , Camarri P , Casagrande S , Cavicchioni D , Danza F A , Fabrizi E , Fabrizi M , Festa G , Fornaro C , Marchese F , Merella D , Morone M C , Picella P , Picozza P , Pizzimento L , Rocchi A , Santonico R , Senesi R , Sparvoli R , Todesco G M , Cianchi A 
Published: May 2020

Abstract
Every year, 700 million twenty-foot (container) equivalent units pass through the container terminals of the harbours all over the world. Only a small percentage (34%) are scanned to inspect the presence of radioactive materials. The need for controls is hampered essentially by three factors: the amount of both time and personnel necessary to control each container and the use of scanning methods based on systems potentially harmful for the personnel itself. Muon tomography can become a strategy for fast and reliable inspection of containers without using ionizing radiation. This technology takes advantage of multiple Coulomb scattering of the muons (particle produced by cosmic rays) through media to understand the composition and the geometry of the scanned volume. The TECNOMUSE project has the purpose to realize a muon tomography scanner based on a novel geometry and, for the first time, using Resistive Plate Chambers detectors. In this work, the preliminary results from the TECNOMUSE scanner are evaluated via Monte Carlo simulations. Many different simulations have been made with the aim to assess the detection capabilities of the device, its spatial resolution and the time required to reconstruct and distinguish different materials.
Cyclotron solid targets preparation for medical radionuclides production in the framework of LARAMED project
Authors: Skliarova H , Cisternino S , Cicoria G , Cazzola E , Gorgoni G , Marengo M , Esposito J 
Published: May 2020

Abstract
LARAMED project aims to set up an advanced science and technology facility to develop new and efficient methods to produce medical radioisotopes at Legnaro National laboratories of National Institute of Nuclear Physics. Waiting for the facility full operation, LARAMED group has already started working on the cyclotron production of several conventional and emerging radionuclides. Suitable target preparation is one of the most critical aspects in cyclotron production of radioisotopes. LARAMED group has investigated a set of non-classical techniques for metallic target preparation. Magnetron sputtering technique developed for ultra-thick film deposition was applied for the preparation of the Mo solid targets for 99mTc production, and Y ones for 89Zr production. Spark plasma sintering method provides efficient sintering of powders and good bonding of metallic pellet to a backing. Like magnetron sputtering, it was tested for natl00Mo and natY targets, as well as for natCr targets preparation aimed at 52Mn production. The High energy Vibration Powders Plating technique was instead applied for natural (Mo, Ti) and enriched 48Ti metallic powders with >95% deposition efficiency. All three techniques tested provided the cyclotron solid targets with high thermomechanical performance under the beam (IkW/cm2).
Stretchable conductors made of single wall carbon nanotubes self-grafted on polymer films
Authors: Fazi L , Prioriello A , Scacco V , Ciccognani W , Serra E , Mirabile Gattia D , Morales P , Limiti E , Senesi R 
Published: May 2020

Abstract
Aiming at the accomplishment of stretchable and elastic conductive devices, we report in this work electrical, mechanical and thermal characterization of a composite conductive material obtained by self-grafting of single wall carbon nanotubes bundles on different polymeric films. The dependence of resistance of micrometric composite conductors on the applied strain was measured; the current breakdown threshold was also measured together with the corresponding temperature increase. Finally, the dependence of an AC signal attenuation for a bi-layer single wall carbon nanotubes conductor sandwiching a 25 μm thick poly-ethylene film was obtained as a function of the signal frequency, and the experimental results were satisfactorily compared to a simple RLC model.
Non-Hermitian topological phases in an extended Kitaev model
Authors: Maiellaro A , Citro R 
Published: May 2020

Abstract
In this work we address the study of topological phase protection of open quantum systems. Using the self-energy formalism, we investigate the paradigmatic case of an extended Kitaev model. The results show how the topological order can be affected by coupling the system to two external leads, giving rise to Non-Hermitian topological phases. Our results could be useful in spectroscopic measurements made on nanowire-based mesoscopic devices.
Critical aspects in the measure of the quench propagation velocities on HTS tapes
Authors: Agostino D D’ , Gambardella U , Iannone G , Saggese A 
Published: May 2020

Abstract
This paper concerns the investigation of the quench propagation phenomena in High Temperature Superconducting HTS tapes. In particular the determination of the Normal Zone Propagation Velocity NZPV, is based on the measure of the time propagation of the normal zone by reading the rising voltages detected by voltage taps placed at known distances. Several experimental aspects related to the measured times and voltages with their dependencies on temperature have to be considered. In particular, the rise up of the temperature determines a time limit that has to be considered to avoid the damage of the tape. Based on our measures of NZPV and in agreement with the results of a numerical model developed for our experimental environment, it is shown that the time limit of the measures is set by the value of the bias current. The tape length traveled by the normal zone front wave is related to this measure time and depends on the value of the NZPV that have to be measured. Adopting a simplified approach, it is possible to forecast the values of the tape length that may be used for the NZPV measurements and how its value may change as a function of the bias current.
Chemometrics tools for Advanced Spectroscopic Analyses
Authors: Scatigno C , Senesi R , Festa G , Andreani C 
Published: May 2020

Abstract
Any system is described by several variables, often in the form of hidden information, able to describe and explain functional mechanisms for the majority of the processes which can be evaluated analytically only when we consider entire complex datasets. The relationship between those variables is the key to identify and quantify correlations among the parameters describing the data in a strictly model-free manner. In chemometrics one uses mathematical and statistical methods to improve the understanding of chemical information through the correlation of physical parameters or properties to analytical instrument data. This approach is currently used across chemistry, materials science, biology, with a growing impact is the field of spectroscopy. This paper presents the ability of chemometric technique applied to Advanced Spectroscopic Analyses, examples include spectroscopic data collected from both the High- resolution neutron Spectrometer TOSCA, operating at the ISIS pulsed Neutron and Muon Source (UK) and X-ray fluorescence (XRF) spectroscopy. This work demonstrates the high-resolution of the Principal Component Analysis (PCA) to a spectroscopic data-set dealing with the determination of marker bands from Inelastic Neutron Scattering (INS) spectra of a large data- set, the presence of a probably additional transition phase of one globular molecule and evidencing the metallic nature of the black/brownish inscriptions on daily-use textiles used in ancient Egypt. This study will pave the way for the analysis of multi-parametric, high-throughput INS data, now within reach using state-of-the-art chemical neutron spectrometers such as VESPA.
Measurement of Cosmic Deuteron Flux with the AMS-02 Detector
Authors: Dimiccoli F , Battiston R , Kanishchev K , Nozzoli F , Zuccon P 
Published: May 2020

Abstract
The deuteron flux in cosmic rays is one of the most valuable tools for understanding the propagation of CR in the galaxy and constrain the models that describe it. In this work, a new preliminary measurement of D flux is presented, obtained from the data of the AMS-02 experiment.