bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of SDBS Surfactant on Stability, Thermal Conductivity and Viscosity of h-BN/EG Based Nanofluids
Authors: Shahabuddin Syed , Shah Syed Nadeem Abbas , Sabri Mohd Faizul Mohd , Pandey A.K. 
Published: April 2021

Abstract
In present work, an experimental study was carried out to investigate the influence of anionic surfactant (SDBS) on stability, thermal conductivity and viscosity of h-BN/EG based nanofluids. The nanofluids were prepared via two-step method and characterized by using zeta-sizer, thermal property analyser and viscometer. The volume concentration of h-BN (0.05%) remains constant whereas SDBS volume concentration sweep from 0.05% to 2%. Current results indicate, the zeta potential increases with surfactant addition, but overall, zeta potential shows inverse relation with SDBS concentration. As the value reduced from -57.5mV to -40.5mV when SDBS concentration increase from 0.05% to 2%. While the particle size increase (396nm to 817.9nm) linearly with SDBS concentration due adsorption of surfactant molecules. On the other hand, thermal conductivity over temperature range 25°C-50°C shows maximum enhancement ∼6.57% at 25°C for 1 vol% SDBS. However, dynamic viscosity increase abruptly after 0.5 vol% of SDBS. Therefore, 0.5 vol% could be treated as the optimum SDBS concentration with reduced viscosity (∼2.85%) and increased thermal conductivity (∼3.26%) as compared to base fluid at 25°C. Potential of such optimum combination of nanofluids (0.05vol% h-BN with 0.5 vol% SDBS) may be manipulated in circulating fluid thermal management systems.
An Improved Mathematical Model Derivation Based on Circuitry Approach for Crystalline Silicon Photovoltaic Module
Authors: Teong K.L. , Tan Rodney H.G. , Hoo Landon Y.H. 
Published: April 2021

Abstract
This paper revises the five-parameter model, an approach that contributes the fundamental knowledge on performing accurate mathematical modelling for most of the commercially-available photovoltaic cells. However, such model can be further improved in order to increase the modelling accuracy while reducing the required modelling parameters at the same time. Improvement is made through formula derivation for photo-generated current and diode saturation current, while the remaining parameters (series resistance, shunt resistance, and diode ideality factor) remained un-managed for the parameterisation procedure. The derivations presented in this paper are direct, yet such procedures are frequently overlooked by others. The comparison between conventional and proposed modelling methods is presented. The methodology of this work is presented through MATLAB script demonstrated on the measured field data for 70W mono and poly-crystalline silicon photovoltaic modules. The performed methodology justifies that formula derivation can be applied for photo-generated and diode saturation current parameters that originated from five-parameter model. Such approach simplifies the works of parameterising the theoretical model matches with the experimental I-V curve. Generally, the work of this paper contributes to the mathematical modelling of photovoltaic module, simulation of experimental I-V curve result, and interactive education tool.
PV integrated on-demand water electrolysis system for HHO generation and it application as primary fuel in combustion
Authors: Ahmad Muhammad Shakeel , Butt T. Z. , Pandey A.K , Rahim Nasrudin Abd 
Published: April 2021

Abstract
The brown’s gas also known as HHO gas has been produced using dye cell alkaline water electrolyser using 316L stainless plates. The electrolyzer has been integrated with solar panel using battery bank and charge controller to develop on-demand HHO generation system. The produced gas has been employed as primary fuel for combustion and its effectiveness has been investigated. Preliminary observations revealed that the photovoltaic (PV) integrated alkaline water electrolysis system exhibits smooth operation and provides proper control over the production process. On the other hand, the utilization of HHO gas as primary fuel displayed highly satisfying results. The developed system has the capacity to generate HHO on the order of 3L/min at 15Amps and it almost instantly burn paper and acrylic sheet.
New Series Motor Four Quadrants Drive DC Chopper for Economical EV Part5: Parallel mode
Authors: Arof Saharul , Diyanah N.H.N. , Noorsal Emilia , Mawby Philip , Arof H. 
Published: April 2021

Abstract
This is part five of an eight-part series of a new Four quadrant dc chopper. The paper describes the parallel mode of the proposed Four Quadrants DC Chopper (FQDC) for a series motor. The mode is designed to overcome a disadvantage of dc series motors which is the speed reduction under load. First, it is studied via simulation using Matlab/Simulink model. Then the FQDC is experimentally tested on a 0.65kW series motor in a lab setup. Finally, a MATLAB/Simulink model is developed to apply the FQDC to a 35kW series motor that propels an electric car (EV). The results indicate that the proposed technique manages to prevent the speed drop of a dc series motor when loaded. This is evident when the EV is subjected to a hill climb.
Comparison of Fault Tolerant Capability of Three-phase Induction Motor Drives for Automotive Applications
Authors: Tousizadeh Mahdi , Hang Seng Che , Abd Rahim Nasrudin 
Published: April 2021

Abstract
With the increase proliferation of electric vehicles in the world, the demand for more reliable power electronics drive train is also on the rise. While theoretically the use of multiphase (more than three-phase) motors can increase the reliability of electrical drive train for EV, they are generally not commercially ready and available in the market. Hence, three-phase drive train are still the main stream in current EV technology and the fault-tolerant control of these motor drives remain an interesting and important topic. In this presentation, the existing fault tolerant three-phase motor drive topologies and control methods are reviewed. In particular, the post-fault controls of three-phase motor using 4 legs inverters are discussed and the opportunity for voltage utilization improvement with this configuration is demonstrated.
Control Strategies for Bidirectional DC-DC Converters: An Overview
Authors: Ashfaq Muhammad Husnain , Selvaraj Jeyraj A/L , Rahim Nasrudin Abd 
Published: April 2021

Abstract
The energy produced by renewable energy sources has variations as these sources are sensitive to weather conditions. To overcome this problem, storage devices like batteries are used for stabilization. Bidirectional DC-DC converter is the main component to interface renewable energy sources with energy storage devices. With the help of proper switching techniques, these converters have the ability to increase or decrease the level of the voltages and can handle the power flow in both directions, from source to storage device (forward direction/charging mode), as well as from storage device to source (backward direction/discharging mode). Hence for an efficient system, the control of power flow must be very effective. This paper presents an overview of various bidirectional DC-DC converter’s classical and supervisory control methods that have been proposed in recent years.
NEPLAN-Based Analysis of Impacts of Electric Vehicle Charging Strategies on Power Distribution System
Authors: Ahmed Aslam A , Abdullah Majid A , Mansor Muhamad , Marsadek Marayati Bte , Ying Yong Jia , Abd Rahman Muhamad Safwan , Salim Nur Ashida 
Published: April 2021

Abstract
This paper aims to analyze the impacts associated with the incorporation of EV charging stations into the distribution network. Using NEPLAN software, a typical distribution network was simulated and analyzed under normal conditions and with integrated coordinated and uncoordinated EV charging stations. A comparative study was then conducted on the main parameters of the distribution system: voltage profiles, transformer loading, as well as power demand and losses. Based on the simulation results, it can be argued that the worst adverse effects are associated with an uncoordinated charging strategy, while the use of a coordinated charging strategy demonstrates significant improvements. Although the distribution network components or requirements of either strategy have not been changed, it is evident, however, that shifting and splitting EV loads has resulted in a coordinated approach that eliminates all adverse effects. Implementing these strategies helps to overcome the challenges of incorporating charging stations into the distribution network, such as equipment overheating, rapid aging issues, as well as the need for additional investment in distribution infrastructure and capacity expansion.
A review of optimization methods for economic and emission dispatch considering PV and wind energy
Authors: Nassar M Y , Abdullah M N , Ahmwed A 
Published: April 2021

AbstractThe power generation system has fossil fuels as their major electricity generation source. This source is not reliable and environmentally friendly so, the alternative source such as renewable energy (RE) is getting much attention in the development of a power generation system. To achieve optimal power output for the power system there is a necessity to solve the economic and emission dispatch (EED) problem considering the operational system constraints. Numerous types of research on optimization of fossil fuel cost and emission roles have been focused to solve the concerned power dispatch issue. This paper represents a comprehensive study on combined economic and emission dispatch (CEED) problem with respect to conventional and unconventional energy sources. To optimize the power dispatch problem, the existing algorithm consisting of optimization methods and objective functions in integrated renewable energy sources (RES) system is tested and reviewed. This paper presented various optimization methods applied to different test systems to minimize emission and cost for power dispatch with PV and wind. Future trends and necessary steps next in the field of power dispatch are also been deliberated.
Peccei-Quinn-like symmetries for nonabelian axions
Authors: Chatterjee Debashis , Mitra P 
Published: April 2021

Abstract
Axions were first introduced in connection with chiral symmetry but are now being looked for mainly as dark matter. In this paper we introduce a nonabelian analogue of axions which can also be potential candidates for dark matter. Their nonabelian symmetries, which are generalizations of the Peccei-Quinn symmetry, are interesting in their own right. Detailed analysis, using fermion measure and zeta function approaches, shows that these symmetries are not anomalous.
Biocompatible magnetic gelatin nanoparticles with enhanced MRI contrast performance prepared by single-step desolvation method
Authors: Teijeiro-Valiño C , González Gómez M A , Yáñez S , García Acevedo P , Arnosa Prieto A , Belderbos S , Gsell W , Himmelreich U , Piñeiro Y , Rivas J 
Published: April 2021

Abstract
Magnetic nanoparticles are versatile materials that have boosted the development of different biomedical applications, being superparamagnetic magnetite nanoparticles a milestone in the field, after achieving clinical approval as contrast agents in magnetic resonance imaging (Feridex®), magnetic hyperthermia agents for oncological treatments (NanoTherm®), or iron deficiency supplement (Feraheme®). However, its potential as theragnostic agent could be further expanded by its encapsulation within a biodegradable hydrogel, capable of enhancing the biocompatibility and loading abilities, to simultaneously carry drugs, radiotracers, or biomolecules. Gelatin, is a natural biopolymer with optimal in vivo feature and gelling capacity that has been extensively used for decades in pharmaceuticals. In this work, we have addressed the preparation of gelatin nanoparticles, bare and loaded with magnetite nanoparticles, with controlled size to be used as contrast agents in magnetic resonance imaging. The main formulation parameters influencing the preparation of gelatin nanoparticles with controlled size by single-step desolvation method, were studied and optimized, to produce small gelatin nanoparticles (97nm) and highly loaded (38% w/w) Fe3O4@citrate gelatin nanoparticles (150 nm) with high magnetic response (65emus/g). The viability assays of the magnetic gelatin nanoparticles, tested with mesenchymal stem cells, showed negligible toxicity and in vitro magnetic resonance imaging tests, performed in agar phantoms, revealed a good contrast for T2 weighting MRI, r2 = 265.5(mM−1 s−1), superior to commercial products, such as Resovist or Endorem.
interacCircos: an R package based on JavaScript libraries for the generation of interactive circos plots
Authors: Cui Zhe , Cui Ya , Zang Tianyi , Wang Yadong 
Published: April 2021

Abstract

Summary
JavaScript-based Circos libraries have been widely implemented to generate interactive Circos plots in web applications. However, these libraries require either local installation, which requires the compilation of extra libraries, or extra data processing procedures to prepare input and configuration for each track of plot, which limits the utility and capability of integration with powerful R packages. In this report, we present interacCircos, an R package for creating interactive Circos plots through the integration of JavaScript-based libraries. interacCircos can simply and flexibly implement 14 track-plot functions and 7 auxiliary functions for presenting large-scale genomic data in interactive Circos plots.

Availability and implementation
InteracCircos and its manual are freely available at https://github.com/mrcuizhe/interacCircos under the GPL license. The online documentation is available at https://mrcuizhe.github.io/interacCircos_documentation/index.html.

Supplementary information
Supplementary data are available at Bioinformatics online.
A decoupled, modular and scriptable architecture for tools to curate data platforms
Authors: Langenstein Momo , Hermjakob Henning , Bernal Llinares Manuel 
Published: April 2021

Abstract

Motivation
Curation is essential for any data platform to maintain the quality of the data it provides. Today, more effective curation tools are often vital to keep up with the rapid growth of existing, maintenance-requiring databases and the amount of newly published information that needs to be surveyed. However, curation interfaces are often complex and challenging to be further developed. Therefore, opportunities for experimentation with curation workflows may be lost due to a lack of development resources or a reluctance to change sensitive production systems.

Results
We propose a decoupled, modular and scriptable architecture to build new curation tools on top of existing platforms. Our architecture treats the existing platform as a black box. It, therefore, only relies on its public application programming interfaces and web application instead of requiring any changes to the existing infrastructure. As a case study, we have implemented this architecture in cmd-iaso, a curation tool for the identifiers.org registry. With cmd-iaso, we also show that the proposed design’s flexibility can be utilized to streamline and enhance the curator’s workflow with the platform’s existing web interface.

Availabilityand implementation
The cmd-iaso curation tool is implemented in Python 3.7+ and supports Linux, macOS and Windows. Its source code and documentation are freely available from https://github.com/identifiers-org/cmd-iaso. It is also published as a Docker container at https://hub.docker.com/r/identifiersorg/cmd-iaso.

Supplementary information
Supplementary data are available at Bioinformatics online.
FPM app: an open-source MATLAB application for simple and intuitive Fourier ptychographic reconstruction
Authors: Rogalski Mikołaj , Zdańkowski Piotr , Trusiak Maciej 
Published: April 2021

Abstract

Summary
Fourier ptychographic microscopy (FPM) is a computational microscopy technique that enables large field of view and high-resolution microscopic imaging of biological samples. However, the FPM does not yet have an adequately capable open-source software. In order to fill this gap we are presenting novel, simple, universal, semi-automatic and highly intuitive graphical user interface (GUI) open-source application called the FPM app enabling wide-scale robust FPM reconstruction. Apart from implementing the FPM in accessible GUI app, we also made several improvements in the FPM image reconstruction process itself, making the FPM more automatic, noise-robust and faster.

Availability and implementation
FPM app was implemented in MATLAB and all MATLAB codes along with standalone executable version of the FPM app and the online documentation are freely accessible at https://github.com/MRogalski96/FPM-app. Our exemplary FPM datasets may be downloaded at https://bit.ly/2MxNpGb.

Supplementary information
Supplementary data are available at Bioinformatics online.
Abnormal early folliculogenesis due to impeded pyruvate metabolism in mouse oocytes
Authors: Tanaka Keiko , Hayashi Yohei , Takehara Asuka , Ito-Matsuoka Yumi , Tachibana Masahito , Yaegashi Nobuo , Matsui Yasuhisa 
Published: April 2021

Abstract
Fetal ovarian germ cells show characteristic energy metabolism status, such as enhanced mitochondrial metabolism as well as glycolysis, but their roles in early folliculogenesis are unclear. We show here that inhibition of pyruvate uptake to mitochondria by UK5099 in organ cultures of fetal mouse ovaries resulted in repressed early folliculogenesis without affecting energy production, survival of oocytes, or meiosis. In addition, the abnormal folliculogenesis by UK5099 was partially rescued by α-ketoglutarate and succinate, intermediate metabolites in the TCA cycle, suggesting the importance of those metabolites. The expression of TGFβ-related genes Gdf9 and Bmp15 in ovarian germ cells, which are crucial for folliculogenesis, was downregulated by UK5099, and the addition of recombinant GDF9 partially rescued the abnormal folliculogenesis induced by UK5099. We also found that early folliculogenesis was similarly repressed, as in the culture, in the ovaries of a germ cell-specific knockout of Mpc2, which encodes a mitochondria pyruvate carrier that is targeted by UK5099. These results suggest that insufficient Gdf9 expression induced by abnormal pyruvate metabolism in oocytes results in early follicular dysgenesis, which is a possible cause of defective folliculogenesis in humans.
The use of simultaneous stereo-electroencephalography and magnetoencephalography in localizing the epileptogenic focus in refractory focal epilepsy
Authors: Vivekananda Umesh , Cao Chunyan , Liu Wei , Zhang Jing , Rugg-Gunn Fergus , Walker Matthew C , Litvak Vladimir , Sun Bomin , Zhan Shikun 
Published: April 2021

Abstract
Both magnetoencephalography and stereo-electroencephalography are used in presurgical epilepsy assessment, with contrasting advantages and limitations. It is not known whether simultaneous stereo-electroencephalography–magnetoencephalography recording confers an advantage over both individual modalities, in particular whether magnetoencephalography can provide spatial context to epileptiform activity seen on stereo-electroencephalography. Twenty-four adult and paediatric patients who underwent stereo-electroencephalography study for pre-surgical evaluation of drug-resistant focal epilepsy, were recorded using simultaneous stereo-electroencephalography–magnetoencephalography, of which 14 had abnormal interictal activity during recording. The 14 patients were divided into two groups; those with detected superficial (n = 7) and deep (n = 7) brain interictal activity. Interictal spikes were independently identified in stereo-electroencephalography and magnetoencephalography. Magnetoencephalography dipoles were derived using a distributed inverse method. There was no significant difference between stereo-electroencephalography and magnetoencephalography in detecting superficial spikes (P = 0.135) and stereo-electroencephalography was significantly better at detecting deep spikes (P = 0.002). Mean distance across patients between stereo-electroencephalography channel with highest average spike amplitude and magnetoencephalography dipole was 20.7 ± 4.4 mm. for superficial sources, and 17.8 ± 3.7 mm. for deep sources, even though for some of the latter (n = 4) no magnetoencephalography spikes were detected and magnetoencephalography dipole was fitted to a stereo-electroencephalography interictal activity triggered average. Removal of magnetoencephalography dipole was associated with 1 year seizure freedom in 6/7 patients with superficial source, and 5/6 patients with deep source. Although stereo-electroencephalography has greater sensitivity in identifying interictal activity from deeper sources, a magnetoencephalography source can be localized using stereo-electroencephalography information, thereby providing useful whole brain context to stereo-electroencephalography and potential role in epilepsy surgery planning.
Biomethane use for automobiles towards a CO2-neutral energy system
Authors: Orecchini Fabio , Santiangeli Adriano , Zuccari Fabrizio 
Published: April 2021

Abstract
To pursue the goal of sustainable mobility, two main paths can be considered: the electrification of vehicles and the use of biofuels, replacing fossil fuels, in internal combustion engine (ICE) vehicles. This paper proposes an analysis of different possible scenarios for automobiles towards a CO2-neutral energy system, in the path of the use of biofuels and the production, distribution and use of biomethane. The study, an update of work presented previously, focuses on different scenarios that take into account numerous parameters that affect the overall efficiency of the production-and-use process. A Well-to-Wheel analysis is used to estimate the primary energy savings and reduction in greenhouse-gas emissions compared both to the use of fossil-based methane and to other fuels and automotive technologies. In particular, the study shows that the Non-Renewable Primary Energy Consumption (NRPEC) for biomethane is slightly higher (+9%) than that of biodiesel, but significantly lower than those of all the other power trains analysed: –69% compared to the battery electric vehicle (BEV) and –55% compared to bioethanol. Compared to the use of fossil natural gas, the NRPEC is reduced to just over a third (2.81). With regard to CO2 emissions, biomethane has the lowest values: –69% compared to BEV, –176% compared to bioethanol and –124% with respect to biodiesel. Compared to the use of fossil natural gas, the CO2 emissions are reduced over a third (3.55). Moreover, the paper shows that biomethane can completely cover the consumption of fossil methane for vehicles in Italy, proposing two different hypotheses: maximum production and minimum production. It is evident, therefore, that biomethane production can completely cover the consumption of fossil methane for vehicles: this means that the use of biomethane in the car can lead to a reduction in NRPEC equal to 28.9 × 106 GJ/year and a reduction of CO2 emissions equal to 1.9 × 106 t/year.