bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization and antimicrobial activity of gold nanoparticles fruit infusion of Medinilla speciosa
Authors: Prihapsara F , Artanti A N , Ni’mah L F U 
Published: March 2022

Abstract
Parijoto (Medinilla speciosa) is one of plants known to have antibacterial activity that can be used as bioreductor. The purpose of this study was to determine the antibacterial activity of gold nanoparticles using Parijoto as bioreductor (AuNPsP) and to determine the concentration that had the highest antibacterial activity against Pseudomonas aeruginosa and Staphylococcus aureus. This research was conducted to prepare gold nanoparticles using reductant infusion of parijoto fruits, with a ratio of reducing agent and gold solution 1:4, 1:6, and 1:8 respectively. Characterization of gold nanoparticles was carried out using UV Vis Spectrophotometer, Particle Size Analyzer (PSA), Fourier Transformed Infrared (FTIR) Spectrophotometer, Transmission Electron Microscope (TEM) then tested for antibacterial investigation against Pseudomonas aeruginosa and Staphylococcus aureus. The morphology, size, and structural properties of synthesized gold nanoparticles were determined with TEM and PSA analysis which showed spherical mono-dispersed structure with an average particle size of 200-450 nm. FTIR analysis reveal that are responsible for the capping and stabilization of synthesized gold nanoparticles. The effectiveness of AuNPsP against Pseudomonas aeruginosa and Staphylococcus aureus increases as the concentration of gold nanoparticle increases. Therefore, the antibacterial investigation revealed that the AuNPsP exhibited good antimicrobial activity.
Drug loading ability and release study of various size small mesoporous silica nanoparticle as drug carrier
Authors: Lestari W A , Wahyuningsih S , Gomez-Ruiz S , Wibowo F R 
Published: March 2022

Abstract
Mesoporous silica nanoparticles (MSN) have been widely developed as drug carriers for various drug models in various particle sizes. The morphology of MSN becomes one of the factors which influence drug loading ability. In this study, we investigated the correlation between particle size and surface charge toward the loading ability of MSN. We used various morphology of MSN included its zeta potential value and quercetin as a drug model. The result showed that both particle size and zeta potential value have a correlation toward loading ability. The smaller particle size has a higher loading ability. Meanwhile, the more negative surface charge has a higher loading ability. Additionally, we studied the drug release profile of MSN with different particle sizes. It showed that particle size and zeta potential value play important role in the drug release process to produce a typically-release profile.
Performance analysis of Ag metal hybridized into dye LEG4 as photoanode
Authors: Saputri D G , Supriyanto A , Ahmad M K B , Ramadhani F 
Published: March 2022

Abstract
DSSC (Dye-sensitized Solar Cell) has been the subject of much discussion by researchers because of its use and benefits for human life to get electrical energy from renewable sources. Many modifications were made in order to increase its efficiency. One of them is the addition of Ag at various concentrations of Dye LEG4 (D1;D2;D3;D-Ag). Dye LEG4 (triphenylamine) is one of the synthetic dyes synthesized from dyenamo orange (D35) dye and obtained 4 variations of dye, LEG4 is the result of the synthesis which has the highest efficiency. Ag metal was chosen because it has high conductivity properties. The DSSC compound composed of a working electrode (based on FTO glass coated by TiO2 and hybridized using dye LEG4+Ag) and a counter electrode based on FTO glass coated by platinum. DSSC devices arranged in a sandwich is tested for its optical properties by using a UV-VIS spectrophotometer to determine the absorbance curve of dye and to get Gap energy and IV-Meter to determine the efficiency.
Conversion of waste cooking oil into green diesel using Ni/MOR and Cu/MOR catalysts
Authors: Nugrahaningtyas K D , Lukitawati R , Mukhsin S A , Fadlulloh Z , Sabiilagusti A I , Budiman A W , Kurniawati M F 
Published: March 2022

Abstract
This study aims to evaluate the activity of Ni and Cu supported on mordenite catalysts in HDO (hydrodeoxygenation) of waste cooking oil into green diesel. The HDO reaction was conducted in a semi-flow reactor at 350 °C with a hydrogen flow rate of 15 mL/min. The liquid fraction obtained was then analyzed using GC-MS (Gas Chromatography-Mass Spectrometry). The results revealed that waste cooking oil contained oleic acid, palmitic acid, and other long-chain hydrocarbons. Nevertheless, Ni/MOR and Cu/MOR catalysts successfully converted waste cooking oil into green diesel up to 56.60 wt%. Furthermore, Ni/MOR and Cu/MOR catalysts also perform a cracking reaction with products of hydrocarbons C5-C17 and carboxylic acids C6-C16. Overall, the conversion of waste cooking oil was higher by using Ni/MOR catalysts rather than Cu/MOR catalysts.
Influence of film thickness on microstructure and optical properties of Bismuth Ferrite (BFO) for photovoltaic application
Authors: Agustina E B , Iriani Y , Sandi D K , Suryana R 
Published: March 2022

Abstract
Bismuth Ferrite (BFO) film with a low bandgap value is a promising candidate for photovoltaic applications. This study discussed the effects of film thickness on the microstructure and optical properties of BFO films. BFO films were deposited on the Quartz-Silicon substrates using the chemical solution deposition (CSD) method. The thickness variation was conducted by varying the deposited layer number which correspond to the thickness values of 252 and 405 nm, respectively. The XRD analysis showed that increasing of films thickness had no significant effect on the crystal structure. It revealed that the XRD peak intensities increase, however, the lattice parameters, crystallite size, and crystallinity are relatively in the close values as the increasing films thickness. The Scanning Electron Microscopy (SEM) analysis exhibited the larger grain size of the BFO films with the increasing films thickness. According to the UV-Vis spectrophotometer results, the bandgap values reduced from 2.48 eV to 2.5 eV as the thicker film. Finally, The I-V curve presented that the higher films thickness induced the higher efficiency of the BFO film from 0.97 % to 2.1%. The BFO film with higher thickness could exhibit the better performance for photovoltaic application.
Banana flower extract based ZnO nanoparticle in dye-sensitized solar
Authors: Riyadi U , Devi A I , Marentina D , Nurosyid F 
Published: March 2022

Abstract
Banana flowers are the source of anthocyanins that donate electrons to the active component of 2%. ZnO has high exciton binding and high electron mobility of 155-165 m2V−1s−1 compared to TiO2. In this study, the peak absorbance without tartaric acid 100:0% was at 451 nm and the addition of tartaric acid for 6% concentration 95/5 (v/v) experienced a wavelength shift of 543. The highest absorbance peak was at the dye solution with the variation in methanol and tartaric acid of 90:10% that was 545 nm. The addition of tartaric acid solvents successfully increased the conductivity of the natural dye causing the sample to have good sensitized properties so that could be applied as a photosensitizer. The conductivity values of the variation 100:0% were 0.5188 Q−1 m1 and 0.4922 Q−1 m1 in light and dark conditions, respectively. Then, the conductivity values of the variation 94:5 were 0.8806 Q−1 m1 and 0.8065 Q−1 m1 in the light and dark conditions, respectively. The highest conductivity values were at the variation (90/10) those were 1.1566 Q−1 m1 and 1.1077 Q-1 m1 in light and dark conditions, respectively. The DSSC efficiencies obtained 0.037%, 0.078%, and 0.083% for the variation of 100:0%, 95:5%, and 90:10%, respectively.
Thin layer of nano nomposite RGO COMOS as a counter electrode on Dye Sensitized Solar Cell (DSSC)
Authors: Kawuri K R , Ramelan A H , Supriyanto A , Wahyuningsih S , Harjana  , Fathoni H I 
Published: March 2022

Abstract
This research aims to synthesis of GO using the Hummer method and the effect of adding CoS(Cobalt Sulfide) and CoMoS(Cobalt Molybdenum Sulfide) Nano composites to RGO as a counter electrode of DSSC. RGO doped CoMoS and RGO doped CoMoS was synthesis using solvothermal method by adding nanocomposite CoS and CoMoS to GO by heating 200˚C. RGO CoMoS powder was formed into a paste by stirring and adding a polymer binder. The paste was deposited onto the FTO glass substrate by the slip casting method so that a thin sheet was obtained on the substrate and applied as a counter electrode on the DSSC. This composite will be measured and tested for the morphology of its layer using SEM and tested for electrical properties with Keithley I-V meter. The additional of CoS and CoMoS may cause the changes crystal size of RGO. RGO CoMoS has higher efficiency than GO and RGO. Thin film of RGO CoMoS can be used of counter electrode DSSC that has Voc= 0,39volt, fill factor (FF) 34,32% and η= 1,54%.
Comparison of Benchmark HP Model Proteins on Face-Centered Cubic and Simple Cubic Lattices using Replica-Exchange Wang-Landau Sampling
Authors: Wilson Matthew S. , Landau David P. 
Published: March 2022

Abstract
The HP model represents protein sequences by coarse-graining amino acid types as either hydrophobic (H) or polar (P). This model has been studied extensively, where the simple cubic (sc) lattice is a commonly used for simplicity and efficiency, despite a limited ability to geometrically represent protein structures. One straightforward improvement is to instead use the face-centered cubic (fcc) lattice, which offers a more realistic geometry while retaining simplicity. Using the replica-exchange Wang-Landau algorithm, the ground state energies and full density of states are predicted for a set of biologically-motivated HP sequences on the fcc lattice. A direct thermodynamic comparison is made between the folding on fcc and sc lattices, and structural properties are calculated to further examine the folding on the fcc lattice.
Surface critical behavior of the three-dimensional O(3) model
Authors: Parisen Toldin F 
Published: March 2022

Abstract
We report results of high-precision Monte Carlo simulations of a three-dimensional lattice model in the O(3) universality class, in the presence of a surface. By a finite-size scaling analysis we have proven the existence of a special surface transition, computed the associated critical exponents, and shown the presence of an extraordinary phase with logarithmically decaying correlations.
Multicanonical simulations of the 2D spin-1 Baxter-Wu model in a crystal field
Authors: Fytas Nikolaos G , Vasilopoulos Alexandros , Vatansever Erol , Malakis Anastasios , Weigel Martin 
Published: March 2022

Abstract
We investigate aspects of universality in the two-dimensional (2D) spin-1 Baxter-Wu model in a crystal field Δ using a parallel version of the multicanonical algorithm employed at constant temperature T. A detailed finite-size scaling analysis in the continuous regime of the Δ – T phase diagram of the model indicates that the transition belongs to the universality class of the 4-state Potts model. The presence of first-order-like finite-size effects that become more pronounced as one approaches the pentacritical point of the model is highlighted and discussed.
Sharpening the Universality of Network Resilience Patterns using Motifs
Authors: Zhang Huixin , Cornelius Sean P. 
Published: March 2022

Abstract
The resilience of networked systems to perturbations is a fundamental problem with applications to ecosystem management, financial system stability, and cell reprogramming. This key challenge is that in high-dimensional systems, there is no “oracle” that can predict, a priori, which changes to a nonlinear system’s parameters will be harmless vs. which will cause a system-wide failure (bifurcation). Here, we present a proof of principle using the Florida Bay food web network, showing how one can use higher-order network structure to arrive at a reliable, universal scalar indicator of a system’s proximity to a bifurcation. Our framework builds on and sharpens a recently introduced mean-field theory for nonlinear dynamics on networks. We find that by incorporating information on high-order network structure in the form of network motifs, the prediction of resilience is greatly improved, especially near a bifurcation point. Our results stress the key role of higher-order structure in driving a system’s dynamics, offering new ways to anticipate and prevent the collapse of large networks raging from ecosystems to infrastructure networks.
Characterizing flexibility and mobility in the natural mutations of the SARS-CoV-2 spikes
Authors: Panayis James , Römer Navodya S. , Bellini Dom , Katrine Wallis A. , Römer Rudolf A. 
Published: March 2022

Abstract
We use in silico modelling of the SARS-CoV-2 spike protein and its mutations, as deposited on the Protein Data Bank (PDB), to ascertain their dynamics, flexibility and rigidity. Identifying the precise nature of the dynamics for the spike proteins enables, in principle, the use of further in silico design methods to quickly screen for existing and novel drug molecules that might prohibit the natural protein dynamics. We employ a recent protein flexibility modeling approach, combining methods for deconstructing a protein structure into a network of rigid and flexible units with a method that explores the elastic modes of motion of this network, and a geometric modeling of flexible motion. Our results thus far indicate that the overall motion of wild-type and mutated spike protein structures remains largely the same.
The Phonon Quasiparticle Approach for Anharmonic Properties of Solids
Authors: Zhang Zhen , Zhang Dong-Bo , Sun Tao , Wentzcovitch Renata M. 
Published: March 2022

Abstract
Knowledge of lattice anharmonicity is essential to elucidate distinctive thermal properties in crystalline solids. Yet, accurate ab initio investigations of lattice anharmonicity encounter difficulties owing to the cumbersome computations. Here we introduce the phonon quasiparticle approach and review its application to various materials. This method efficiently and reliably addresses lattice anharmonicity by combining ab initio molecular dynamics and lattice dynamics calculations. Thus, in principle, it accounts for full anharmonic effects and overcomes finite-size effects typical of ab initio molecular dynamics. The validity and effectiveness of the current approach are demonstrated in the computation of thermodynamic and heat transport properties of weakly and strongly anharmonic systems.
Coupling Simulation on Two-dimensional Axisymmetric Beaming Propulsion System
Authors: Takahashi Masayuki 
Published: March 2022

Abstract
A two-dimensional (2D) axisymmetric fluid modeling for plasma dynamics was coupled with an electromagnetic wave propagation to capture the electromagnetic wave and plasma structures on the microwave-driven in-tube accelerator (MITA) concept. The electromagnetic wave injected into a waveguide was focused on at the vehicle’s rear side through reflection processes by the front mirror and the waveguide. An overcritical plasma was created at the high-intensity electric field region because of enhancement of an electron-impact ionization. The incident microwave was reflected by the plasma with overcritical density and a standing wave was induced in front of the dense plasma because the reflected wave overlapped with the incident microwave. In addition to wave enhancement by standing process, the strong electric field region was obtained at edges of the overcritical plasma because of wave diffraction, which can affect a shock wave strength and thrust performance of the MITA.
Efficient computations of continuous action densities of states for lattice models
Authors: Lucini Biagio , Francesconi Olmo , Holzmann Markus , Lancaster David , Rago Antonio 
Published: March 2022

Abstract
The Logarithmic Linear Relaxation (LLR) algorithm is an efficient method for computing densities of states for systems with a continuous spectrum. A key feature of this method is exponential error reduction, which allows us to evaluate the density of states of a system over hundreds of thousands of orders of magnitude with a fixed level of relative accuracy. As a consequence of exponential error reduction, the LLR method provides a robust alternative to traditional Monte Carlo calculations in cases in which states suppressed by the Boltzmann weight play nevertheless a relevant role, e.g., as transition regions between dominant configuration sets. After reviewing the algorithm, we will show an application in U(1) Lattice Gauge Theory that has enabled us to obtain the most accurate estimate of the critical coupling with modest computational resources, defeating exponential tunneling times between metastable vacua. As a further showcase, we will then present an application of the LLR method to the decorrelation of the topological charge in SU(3) Lattice Gauge Theory near the continuum limit. Finally, we will review in general applications of the LLR algorithm to systems affected by a strong sign problem and discuss the case of the Bose gas at finite chemical potential.
Formation of the diluted magnetic semiconductor phase by thermal diffusion in the pulsed laser deposition method
Authors: Kuznetsov Yu M , Dorokhin M V , Kriukov R N , Zdoroveyshchev A V , Zdoroveyshchev D A , Lesnikov V P 
Published: March 2022

Abstract
A new method for the formation of a diluted magnetic semiconductor based on gallium arsenide doped with iron and manganese atoms is considered. The method consists in diffusion doping during pulsed laser deposition in vacuum. Using the method of X-ray photoelectron spectroscopy, the profile of the chemical elements distribution was obtained. The magnetic phases influence on the behavior of the magnetic field dependence of the Hall resistance is analyzed. The technological parameters for the growth of the structure exhibiting ferromagnetic properties at room temperature were selected.
Determination of the phosphorus desorption rate during high-temperature annealing of the InP(001) substrate in an arsenic flux
Authors: Kolosovsky D A , Dmitriev D V , Ponomarev S A , Toropov A I , Zhuravlev K S 
Published: March 2022

Abstract
In this work, the process of phosphorus desorption from epi-ready InP(001) substrates during high-temperature annealing in an arsenic flux was experimentally investigated. An InPAs solid solution and InAs islands were formed on the surface upon annealing. The composition of the solid solution, the surface area fraction occupied by InAs islands, and its height depend on the annealing temperature. The phosphorus desorption rate was determined from the dependence of the arsenic atoms number on the substrate surface on the annealing temperature and the holding time in the arsenic flux. The phosphorus desorption rate increased from 6.03×1010 s−1⋅ cm−2 at an annealing temperature of 500 °C to 4.38×1011 s−1 ⋅ cm−2 at 540 °C. The activation energy of the phosphorus desorption process was 2.7 ± 0.2 eV.
Electron heating in GaN/AlGaN quantum well in a longitudinal electric field
Authors: Melentev G A , Kostromin N A , Vinnichenko M Ya , Firsov D A , Sarkisyan H A 
Published: March 2022

Abstract
The heating of electrons under longitudinal optical phonon scattering in a triangular GaN/AlGaN quantum well was studied theoretically. The energy loss rate of electrons was calculated in consideration of the dynamical screening and the hot phonon effect. The dependence of the electron temperature on the longitudinal electric field was calculated. The integral terahertz emission of hot two-dimensional electrons was simulated. The role of coupled plasmon-phonon mode scattering in the GaN/AlGaN quantum well was discussed.
Multiphoton microscopy of mesoporous silicon
Authors: Spivak Y M , Lemeshko P S 
Published: March 2022

Abstract
In this work, the behavior of the luminescence of mesoporous silicon under irradiation with a femtosecond IR laser is shown by the method of multiphoton microscopy. It was demonstrated that, along with the background photoluminescence of porous silicon, bright photoluminescence centers appear on the layer surface, and under certain conditions. Centers with a different, shorter-wavelength emission spectrum also appear.
A multi-wavelength approach to increase polarimeter diagnostic performance in nuclear fusion reactors
Authors: Wyss I. , Rossi R. , Gaudio P. 
Published: March 2022

Abstract
In future tokamaks, the huge variation of the plasma parameters during a discharge (ramp up, flat top, and ramp down) may involve that a diagnostic suitable for the flat top is not suitable for transients, and vice versa. Moreover, future reactors will start the experimental campaigns in safe scenarios, where events like disruptions are not critical, and they will increase their parameters gradually. Also in this case, a diagnostic optimised for the final target scenario may fail at the beginning of the experimental campaign. Laser-based polarimetry, a plasma diagnostic used in magnetized plasma to measure quantities that are related to the electron density, the magnetic field, and the electron temperature (in the case of relativistic effects), is a typical diagnostic that must be optimised for specific scenarios, since it is affected by several issues (refraction, type-I approximation, noise sensitivity) that limit its range of applicability. The aim of this work is to present a method to solve, or at least alleviate, this type of problem by using a multi-wavelength approach. The main idea consists of measuring the polarisation effects (Faraday rotation and Cotton-Mouton phase shift) with more than one wavelength and then calculating the plasma parameters by a weighted average of the measurements, where the weights are derived from the theory of polarimetry. The analysis is performed simulating the process of measurement introducing a casual error. The outcomes demonstrate that the adoption of a multi-wavelength polarimeter system brings a more accurate measurement in a wider range. Considering that next tokamaks will be implemented with a dual-wavelength interferometer, like the dispersion interferometer-polarimeter of ITER, this proposed approach could be taken into consideration to increase the performances of polarimetry.
Hybridized and Complementary Comparative Analysis of Dissolved Gases in a Power Transformer
Authors: Kaur Kulraj , Bhalla Deepika , Singh Jashandeep 
Published: March 2022

Abstract
Power transformer is considered important equipment both in the transmission and distribution zone of electric power. Safety of power system elements plays a crucial role for enhancing its reliability. Transformer being a major component plays a much vital role and needs to be monitored and maintained at a regular basis. Transformer oil helps in performing the functions of insulation, cooling and helps extinguish arcs. Transformer oil also dissolves the gases which get generated by the degradation of oil, presence of moisture and gas from insulation deterioration of cellulose, gases and moisture from the surrounding, to which the oil is exposed. The dissolved gas present in an oil sample can be helpful in determining the nature of a fault which can vary according to gas types and its concentrations. DGA (Dissolved Gas Analysis) have been used as a suitable tool in enabling the reliability of the system and safety of the transformer for a long time. An analysis of Dissolved gases in oil is analytical method and have been used and interpreted differently by different methods and users. DGA methods using ratios, gas concentration and graphical methods have been presented in this work. The tools use mix of fuzzy based analysis, MATLAB. The basic motivation of the work is to create a platform for DGA analysis so as to provide early and easy detection and diagnosis of Transformer Failures.