bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural and magnetic properties of CoFe2O4 ferrite nanoparticles doped by gadolinium
Authors: Nikmanesh Hossein , Jaberolansar Elnaz , Kameli Parviz , Varzaneh Ali Ghotbi , Mehrabi Mohsen , Rostami Momammad 
Published: October 2021

Abstract
This work’s main purpose is to investigate the effect of Gd3+ substitution on the structural, cation distribution, morphological, and magnetic characteristics of cobalt ferrite nanostructures. The nanostructures were synthesized through the sol-gel auto combustion technique. X-ray diffraction (XRD) analysis with the Rietveld refinement through the Material Analysis Using Diffraction (MAUD) program confirmed a single-phase spinel structure for lower contents of Gd3+. However, for higher concentrations, a trace of second phase GdFeO3 was evident. The crystallite size reduction from 17 to 11 nm with Gd3+ doping confirmed the formation of nanocrystalline Co–Gd ferrite. Cation distribution was another parameter inferred from the experimental data of XRD analyzed by the MAUD program. Fourier-transform infrared spectra confirmed the formation of spinel structure through two prominent vibrational modes observed at the desired wavelength range. FESEM analysis confirmed the data obtained from the XRD about the structure and morphology of the nano samples. Saturation magnetization (M
S) of the nano samples evaluated at 10 K showed a decreasing behavior from 94 to 86 emu g−1 by Gd3+ doping, while a fluctuating trend of M
S was observed at room temperature. Coercive field (H
C) evaluated at 10 K reached a maximum value of about 1145 kA m−1 for the sample CoFe1.96Gd0.04O4, and then it decreased. At the same time, H
C experienced no considerable change at 300 K. The possible concepts attributed to such a trend of H
C were also investigated. Overall, the significant impact of Gd3+ doping on the cobalt ferrite nanoparticles causes Gd–Co ferrite to have a desirable capacity of permanent magnet materials and storage of information with high density. As a result, this ferrite may be a proper candidate to be utilized, especially at lower temperatures.
Anatomical atlas of the upper part of the human head for electroencephalography and bioimpedance applications
Authors: Moura Fernando S , Beraldo Roberto G , Ferreira Leonardo A , Siltanen Samuli 
Published: October 2021

Abstract

Objective. The objective of this work is to develop a 4D (3D+T) statistical anatomical atlas of the electrical properties of the upper part of the human head for cerebral electrophysiology and bioimpedance applications. Approach. The atlas was constructed based on 3D magnetic resonance images (MRI) of 107 human individuals and comprises the electrical properties of the main internal structures and can be adjusted for specific electrical frequencies. T1w+T2w MRI images were used to segment the main structures of the head while angiography MRI was used to segment the main arteries. The proposed atlas also comprises a time-varying model of arterial brain circulation, based on the solution of the Navier–Stokes equation in the main arteries and their vascular territories. Main results. High-resolution, multi-frequency and time-varying anatomical atlases of resistivity, conductivity and relative permittivity were created and evaluated using a forward problem solver for EIT. The atlas was successfully used to simulate electrical impedance tomography measurements indicating the necessity of signal-to-noise between 100 and 125 dB to identify vascular changes due to the cardiac cycle, corroborating previous studies. The source code of the atlas and solver are freely available to download. Significance. Volume conductor problems in cerebral electrophysiology and bioimpedance do not have analytical solutions for nontrivial geometries and require a 3D model of the head and its electrical properties for solving the associated PDEs numerically. Ideally, the model should be made with patient-specific information. In clinical practice, this is not always the case and an average head model is often used. Also, the electrical properties of the tissues might not be completely known due to natural variability. Anatomical atlases are important tools for in silico studies on cerebral circulation and electrophysiology that require statistically consistent data, e.g. machine learning, sensitivity analyses, and as a benchmark to test inverse problem solvers.
Synchronising optical emission spectroscopy to spokes in magnetron sputtering discharges
Authors: Maaß Philipp A , Schulz-von der Gathen Volker , von Keudell Achim , Held Julian 
Published: October 2021

Abstract
Spokes are patterns of increased light emission, observed to rotate in front of the targets of magnetron sputtering discharges. They move through the plasma at velocities of several km s−1 in or against the

E

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×

B

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direction of the discharge. The high velocity and their initial creation at arbitrary positions render measurements of spokes challenging. For more demanding plasma diagnostic techniques that require data acquisition over multiple discharge pulses, synchronisation to the spoke movement is necessary. In this publication, we present optical emission spectroscopy of spokes in both high power impulse magnetron sputtering (HiPIMS) as well as direct current magnetron sputtering (DCMS) discharges, performed by triggering a camera on the spoke movement. Optical filters between plasma and camera allow us to isolate emission lines of metal and working gas neutrals and ions. Based on these optical measurements and previous probe studies, the dynamics of electrons drifting through spokes in both DCMS and HiPIMS is discussed. In HiPIMS, the much shorter mean free path for inelastic electron collisions enables strong ionisation inside the spoke, causing a sudden variation in electron density which leads to the distinct spoke shape. In contrast, the spoke shape for DCMS discharges seems to rather be indicative of electron energy variations.
A multifunctional electromagnetic device for vibration energy harvesting and rail corrugation sensing
Authors: Wang Yifeng , Li Shoutai , Wang Peigen , Gao Mingyuan , Ouyang Huajiang , He Qing , Wang Ping 
Published: October 2021

AbstractA multifunctional electromagnetic device for harvesting rail vibration energy and sensing rail corrugation is proposed. Firstly, the optimal coil position is investigated theoretically and verified through experiments. Then, experimental frequency-sweeping tests are carried out to understand the response characteristics of the harvester. Two sections of a metro line with/without rail corrugations are selected to measure rail roughness and vibration. Using the field-measured rail vibration as excitations, the response characteristics of the harvester are investigated through indoor experiments. Experimental results demonstrate that occurrences of corrugation can be identified through time-frequency analysis of the electromotive forces of the harvester. Besides, electrical load tests under normal rail vibration demonstrate that this harvester will yield its maximum power of 18.6 mW (average power: 1.5 mW) when the resistance of the external electrical load is close to the internal resistance of the coil. The capability to energise small commercial electronic devices is verified by charging a supercapacitor, and driving LEDs, a digital clock, and a thermo-hygrometer to work, respectively. The capabilities of the harvester for powering low-power electronics and sensing rail corrugation pave the wave for designing a self-powered sensing node for rail corrugation monitoring.
Comprehensive kinetic theory of inverse sheath for a strong electron-emitting electrode in a low-pressure isotropic plasma
Authors: Din Alif 
Published: October 2021

Abstract
The basic kinetic theory of an electron emitting inverse sheath was presented in T Gyergyek, J Kovačič, I Gomez, J P Gunn, S Costea and M Mozetič (2020 Phys. of Plasmas
27, 023 520). Here we extend this theory to find the potential profile and kinetic energy flux in inverse sheath for floating and current carrying electron emitting electrode/wall. The values of emitted-electron temperature, number and current densities are explored for the existence and nonexistence of inverse sheath for floating and current carrying electrode/wall. For this we consider half Maxwellian velocity distribution functions of species (emitted-electron, plasma-electron and ions) at their respective emerging boundaries. The species charge densities are calculated self-consistently from the prior assumed positive sheath structure. The Poisson’s equation is then solved numerically for floating and current carrying electrode/wall with varying normalized emitted-electron and ion temperatures. The resulting inverse sheath solution is valid for limited range of emitted-electron and ion temperatures in case of floating electrode/wall. The kinetic energy flux relations for each species are derived in inverse sheath. The numerical solutions of these relations for floating and current carrying electrode/wall are presented for valid range of parameters. These solutions shows that the total or kinetic flux received by floating electrode/wall surface decreases with increasing of emitted-electron temperature and even approaches to zero for equal values of emitted-electron and plasma-electron temperatures.
In-depth research on the interpretable disruption predictor in HL-2A
Authors: Yang Zongyu , Xia Fan , Song Xianming , Gao Zhe , Wang Shuo , Dong Yunbo 
Published: October 2021

Abstract
In-depth research is implemented on the disruption predictor in HL-2A to improve the accuracy and interpretability of the model. For higher accuracy, four adjustments are tried to solve four corresponding problems in a baseline model. Reductive comparison experiments are designed to evaluate their contribution to performance. The result shows that these adjustments together can improve the AUC (area under receiver operating characteristic curve) of the baseline model by 0.039. For interpretability of model, an interpretation method is proposed to evaluate the real-time importance of each input signal. The result of single shot interpretation shows good coherence with the causes of disruptions. To further validate the reasonability of this interpretation method, disruption causes of shot nos. 20000–36000 are analysed to make a disruption cause dataset. Statistical analysis of the output of the interpretation algorithm on this dataset also shows a good coherence with the disruption causes. Then a Bayes classifier is developed to recognize the cause of disruption based on the interpretation algorithm’s output. This classifier has an accuracy of 71.2% on the labelled dataset, which contains 605 disruptive shots categorized into five disruption causes.
Anisotropic porous ceramic material with hierarchical architecture for thermal insulation
Authors: Zhao Nifang , Mao Anran , Shao Ziyu , Bai Hao 
Published: October 2021

Abstract
Porous ceramic materials are attractive candidates for thermal insulation. However, effective ways to develop porous ceramics with high mechanical and thermal insulation performances are still lacking. Herein, an anisotropic porous silica ceramic with hierarchical architecture, i.e. long-range aligned lamellar layers composed of hollow silica spheres, was fabricated applying a facile bidirectional freezing method. Due to such anisotropic structure, the as-prepared porous silica ceramic displays low thermal conductivity across the layers and high compressive strength along the layers. Additionally, the anisotropic porous silica ceramic is fire-resistant. As a proof of concept, a mini-house was roofed with the anisotropic porous silica ceramic, showing that the indoor temperature could be stabilized against environmental temperature change, making this porous ceramic a promising candidate for energy efficient buildings and other industrial applications. Our study highlights the possibility of combining intrinsically exclusive properties in engineering materials through constructing biomimetic porous structures.
Biocide effect against SARS-CoV-2 and ESKAPE pathogens of a noncytotoxic silver–copper nanofilm
Authors: Bello-Lopez J M , Silva-Bermudez P , Prado G , Martínez A , Ibáñez-Cervantes Gabriela , Cureño-Díaz Mónica Alethia , Rocha-Zavaleta L , Manzo-Merino J , Almaguer-Flores A , Ramos-Vilchis C , Rodil S E 
Published: October 2021

AbstractNanometric materials with biocidal properties effective against severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) and pathogenic bacteria could be used to modify surfaces, reducing the risk of touching transmission. In this work, we showed that a nanometric layer of bimetallic AgCu can be effectively deposited on polypropylene (PP) fibers. The virucidal properties of the AgCu nanofilm were evaluated by comparing the viral loads remaining on uncoated and coated PP after contact times between 2 and 24 h. Quantification of virion numbers for different initial concentrations indicated a reduction of more than 95% after 2 h of contact. The bactericidal action of the AgCu nanofilm was also confirmed by inoculating uncoated and coated PP with a pool of pathogenic bacteria associated with pneumonia (ESKAPE). Meanwhile, no cytotoxicity was observed for human fibroblasts and keratinocyte cells, indicating that the nanofilm could be in contact with human skin without threat. The deposition of the AgCu nanofilm on the nonwoven component of reusable cloth masks might help to prevent virus and bacterial infection while reducing the pollution burden related to the disposable masks. The possible mechanism of biocide contact action was studied by quantum chemistry calculations that show that the addition of Ag and/or Cu makes the polymeric fiber a better electron acceptor. This can promote the oxidation of the phospholipids present at both the virus and bacterial membranes. The rupture at the membrane exposes and damages the genetic material of the virus. More studies are needed to determine the mechanism of action, but the results reported here indicate that Cu and Ag ions are good allies, which can help protect us from the virus that has caused this disturbing pandemic.
Asymmetric impacts of El Niño and La Niña on the Pacific–North American teleconnection pattern: the role of subtropical jet stream
Authors: Wang Ya , Hu Kaiming , Huang Gang , Tao Weichen 
Published: October 2021

Abstract
The asymmetric impacts of El Niño and La Niña on the Pacific–North American teleconnection pattern in boreal winter have important implications for the surface air temperature and precipitation anomalies in North America. Previous studies have shown that the varying tropical convective heating contributes to the zonal shift of the teleconnection pattern during different El Niño/Southern Oscillation phases. In this study, using reanalysis, atmospheric general circulation model (AGCM) simulations, and a linear baroclinic model, we further present that the discrepancy of the subtropical jet stream (STJ) during El Niño and La Niña also contributes to the asymmetry. The atmospheric anomalies readily extract kinetic energy and effectively develop at the exit of the STJ. During El Niño (La Niña) years, as the central-eastern tropical Pacific warms up (cools down), the meridional temperature gradient in central subtropical Pacific increases (decreases), leading to the eastward (westward) shift of the STJ. The movement of the STJ leads to the shift of the location where disturbance develops most efficiently, ultimately contributing to the asymmetry of the teleconnection pattern.
A comprehensive review of the analysis and integration of omics data for SARS-CoV-2 and COVID-19
Authors: Zhu Zijun , Zhang Sainan , Wang Ping , Chen Xinyu , Bi Jianxing , Cheng Liang , Zhang Xue 
Published: October 2021

Abstract
Since the first report of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in December 2019, over 100 million people have been infected by COVID-19, millions of whom have died. In the latest year, a large number of omics data have sprung up and helped researchers broadly study the sequence, chemical structure and function of SARS-CoV-2, as well as molecular abnormal mechanisms of COVID-19 patients. Though some successes have been achieved in these areas, it is necessary to analyze and mine omics data for comprehensively understanding SARS-CoV-2 and COVID-19. Hence, we reviewed the current advantages and limitations of the integration of omics data herein. Firstly, we sorted out the sequence resources and database resources of SARS-CoV-2, including protein chemical structure, potential drug information and research literature resources. Next, we collected omics data of the COVID-19 hosts, including genomics, transcriptomics, microbiology and potential drug information data. And subsequently, based on the integration of omics data, we summarized the existing data analysis methods and the related research results of COVID-19 multi-omics data in recent years. Finally, we put forward SARS-CoV-2 (COVID-19) multi-omics data integration research direction and gave a case study to mine deeper for the disease mechanisms of COVID-19.
Early preantral follicles of the domestic cat express gonadotropin and sex steroid signaling potential
Authors: Kehoe S , Jewgenow K , Johnston P R , Braun B C 
Published: October 2021

Abstract
Key biomolecular processes, which regulate primordial ovarian follicle dormancy and early folliculogenesis in mammalian ovaries, are not fully understood. The domestic cat is a useful model to study ovarian folliculogenesis and is the most relevant for developing in vitro growth methods to be implemented in wild felid conservation breeding programs. Previously, RNA-sequencing of primordial (PrF), primary (PF), and secondary follicle (SF) samples from domestic cat implicated ovarian steroidogenesis and steroid reception during follicle development. Here, we aimed to identify which sex steroid biosynthesis and metabolism enzymes, gonadotropin receptors, and sex steroid receptors are present and may be potential regulators. Differential gene expression, functional annotation, and enrichment analyses were employed and protein localization was studied too. Gene transcripts for PGR, PGRMC1, AR (steroid receptors), CYP11A1, CYP17A1, HSD17B1 and HSD17B17 (steroidogenic enzymes), and STS (steroid metabolizing enzyme) were significantly differentially expressed (Q values of ≤0.05). Differential gene expression increased in all transcripts during follicle transitions apart from AR which decreased by the secondary stage. Immunohistochemistry localized FSHR and LHCGR to oocytes at each stage. PGRMC1 immunostaining was strongest in granulosa cells, whereas AR was strongest in oocytes throughout each stage. Protein signals for steroidogenic enzymes were only detectable in SFs. Products of these significantly differentially expressed genes may regulate domestic cat preantral folliculogenesis. In vitro growth could be optimized as all early follicles express gonadotropin and steroid receptors meaning hormone interaction and response may be possible. Protein expression analyses of early SFs supported its potential for producing sex steroids.
NRG COSIA Carbon XPRIZE: carbon-dioxide mineralization in recycled concrete wash water
Authors: Monkman Sean , Janke Travis , Hanmore Alex 
Published: October 2021

Abstract
Wash water is generated as a waste stream from ready-mixed-concrete production. Reuse of the water as mixture water is limited, in practice, by the negative material performance impacts associated with the water chemistry and properties; the effects are intensified with increasing content of suspended solids and age. However, this waste material can be used as a beneficial additive to concrete by profiting from the cementitious properties of the suspended solids, if variability can be reduced. A method of stabilizing this material is through CO2 treatment. The added CO2 is mineralized through a reaction with the calcium from the cement particles. This provides a calcium-carbonate coating that prevents further cement hydration, making the material predictable. This has been shown to alleviate concerns with set acceleration and inconsistencies in compressive strength. A method of CO2 treatment was tested as part of the NRG COSIA Carbon XPRIZE at a site in Calgary, Alberta. The slurry for the treatment was provided by a local concrete plant and had a specific gravity of 1.15. The simulated wash water was treated in 1000-L quantities with each treatment mineralizing an average of 40 kg of CO2. The system ran for 1600 hours of operation over 127 treatment cycles and converted 14.5 tonnes of CO2 at an average mineralization efficiency of 80%. The treated slurry was used as an additive in &gt;300 batches of concrete where the concrete met the necessary requirements for fresh properties and setting time, while achieving a strength benefit. Replacement of 5% and 10% of batch water with treated slurry (9.4 and 18.8 kg slurry/m3 concrete) showed a strength benefit of 3% and 6% compared to a reference. The technology was selected as the winner of the NRG COSIA Carbon XPRIZE (Track B: Natural Gas) in April 2021.
Methodology for the economic evaluation of CO2 derived materials
Authors: Wong Tiffany , Zilnik Dan , Extavour Marcius , Leitch Michael 
Published: October 2021

Abstract
Scoring the technologies in competition for the NRG Canada’s Oil Sands Innovation Alliance Carbon XPRIZE required an economic evaluation to estimate the value created through the conversion of CO2 emissions into products. Across all of the Teams participating in the competition, 58 different materials were consumed and produced. Standardized prices and market sizes needed to be established for each of these materials to ensure a consistent evaluation across all Teams. The Standards Data Set (SDS) was created as a standardized database of economic data used in the competition. The rationale for the SDS project and the methodology for researching each material is described. Ultimately, credible material definitions using the SDS methodology were created for all materials, and some research and methodological customization were required for materials that did not have credible, publicly available market data. The methodologies for establishing credible values and market sizes for concrete, concrete admixtures and syngas are highlighted as examples of materials whose value and markets are not easily defined.
Best practices for measurement and impact on performance evaluation for novel carbon-utilization process technologies
Authors: Hansen Tim , McCabe Kevin , Chatterton Bill , Leitch Michael , Woolcock Patrick 
Published: October 2021

Abstract
The NRG COSIA Carbon XPRIZE—a $20 million prize competition focused on the development and scaling of innovative carbon-capture and -utilization technologies—placed credible data at the forefront of its scoring and ranking approach for the selection of prize-winners. To guarantee the quality of the submitted data, independent third-party verifiers reviewed each candidate technology and data set. While the Carbon XPRIZE contenders demonstrated a variety of CO2-utilization technologies at various levels of technical maturity and scale, it was found that early evaluation of the impact of measurements on process performance parameters via sensitivity analysis should influence the selection of instruments that have appropriate accuracy. In addition to appropriate accuracy, this assessment can lead to reduced costs associated with instrumentation rather than simply buying the ‘best’ instrument while simultaneously ensuring that uncertainties are kept as low as possible. With proper pre-planning, good engineering practice and good measurement practice, it is possible to optimize uncertainty against the costs and usability of instrumentation and data systems.