bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of a measurement system and analytical solution for docking pose of large aircraft components based on draw-wire displacement sensors
Authors: Sun Zhengyang , Wang Hongxi , Wang Guanwei , Tian Huihui , Liang Wenhong 
Published: June 2024

Abstract
Relative pose detection is a key technology in large component automatic docking systems. In this paper, a measurement system has been developed to detect the relative pose of large aircraft components with draw-wire displacement sensors, while an analytical calculation method has been proposed to determine the docking pose of large aircraft components. This method establishes a measurement model for the docking pose of large components and separates the position and orientation solutions based on the distances between seven sets of measurement points measured by the draw-wire displacement sensors. First, the principle of three-dimensional rendezvous positioning is refined to ascertain the relative position of the components. Then, by analyzing the properties of the rotation matrix and the coupling relationship between the position and orientation variables of the movable component, 15 compatible equations containing only two variables with a maximum degree of four are obtained. Based on this set of equations, a unique solution for the rotation matrix was obtained through the variable substitution method, gradually eliminating higher-order terms. Finally, the correctness of the method is verified through numerical examples. Unlike typical parallel mechanism models, this model can directly obtain 15 compatible equations without the need for methods such as Gröbner bases. Moreover, compared to the measurement method using six draw-wire displacement sensors, a unique solution can be directly determined, solving the problem of multiple solution selection. This measurement method only requires measuring the distance between measurement points to solve the relative pose, with low equipment costs and less susceptibility to external environmental factors.
Identification of exfoliated monolayer hexagonal boron nitride films with a digital color camera under white light illumination
Authors: Hattori Yoshiaki , Taniguchi Takashi , Watanabe Kenji , Kitamura Masatoshi 
Published: June 2024

Abstract
Optical microscopy with white light illumination has been employed when obtaining exfoliated monolayer hexagonal boron nitride (1L hBN) films from a large number of randomly placed films on a substrate. However, real-time observation of 1L hBN using a color camera under white light illumination remains challenging since hBN is transparent in the visible wavelength range. The poor optical constant of 1L hBN films in microphotographs is significantly improved using a Si substrate coated with a SiN
x
thin-film (SiN
x
/Si). When observing hBN thin films on SiN
x
/Si using a color digital camera in an optical microscope under white light illumination, the clarity of the captured color images depends on the thickness of the SiN
x
film (d). For real-time direct observation, the d was optimized based on quantitative chromatic studies tailored to Bayer filters of a color image sensor. Through image simulation, it was determined that the color difference between 1L hBN and the bare substrate is maximized at d = 59 or 70 nm, which was experimentally verified. The SiN
x
/Si with optimized d values visualized 1L hBN films without requiring significant contrast enhancement via image processing under white light illumination in real-time. Furthermore, the captured color photographs facilitate the reliable determination of the number of layers in few-layer hBN films using the contrast of the green channel of the images.
Cross-tokamak deployment study of plasma disruption predictors based on convolutional autoencoder
Authors: Ai X K , Zheng W , Zhang M , Ding Y H , Chen D L , Chen Z Y , Shen C S , Guo B H , Wang N C , Yang Z J , Chen Z P , Pan Y , Shen B , Xiao B J ,   J-TEXT Team
Published: June 2024

Abstract
In the initial stages of operation for future tokamak, facing limited data availability, deploying data-driven disruption predictors requires optimal performance with minimal use of new device data. This paper studies the issue of data utilization in data-driven disruption predictor during cross tokamak deployment. Current predictors primarily employ supervised learning methods and require a large number of disruption and non-disruption shots for training. However, the scarcity and high cost of obtaining disruption shots for future tokamaks result in imbalanced training datasets, reducing the performance of supervised learning predictors. To solve this problem, we propose the Enhanced Convolutional Autoencoder Anomaly Detection (E-CAAD) predictor. E-CAAD can be trained only by non-disruption samples and can also be trained by disruption precursor samples when disruption shots occur. This model not only overcomes the sample imbalance in supervised learning predictors, but also overcomes the inefficient dataset utilization faced by traditional anomaly detection predictors that cannot use disruption precursor samples for training, making it more suitable for the unpredictable datasets of future tokamaks. Compared to traditional anomaly detection predictors, the E-CAAD predictor performs better in disruption prediction and is deployed faster on new devices. Additionally, we explore strategies to accelerate the deployment of the E-CAAD predictor on the new device by using data from existing devices. Two deployment strategies are presented: mixing data from existing devices and fine-tuning the predictor trained on existing devices. Our comparisons indicate that the data from existing device can accelerate the deployment of predictor on new device. Notably, the fine-tuning strategy yields the fastest deployment on new device among the designed strategies.
Simulation on the effect of oxygen concentration on the positive secondary streamer generated in oxygen-rich nitrogen–oxygen mixtures under atmospheric pressure
Authors: Wei Zhenyu , Ono Ryo , Komuro Atsushi 
Published: June 2024

Abstract
In this study, we investigated the effect of various

O

2

concentrations, from 20% to 90%, in nitrogen–oxygen (

N

2

/

O

2

) mixtures on the characteristics of secondary streamers. As oxygen molecules have different molecular characteristics from nitrogen molecules in terms of ionisation threshold and electron attachment property, streamer discharges generated under various nitrogen–oxygen ratios may exhibit differing characteristics such as electron density, electric field, and radical formation. We focused on the changes in these parameters in secondary streamers using simulations. Simulations were first performed under the same conditions as those in previous experiments to compare the results of the ozone production, discharge current, and discharge emission characteristics. To compare the ozone production characteristics, simulated O radicals–the precursor of ozone–were used in the simulation for simplicity. This comparison showed that, although the absolute values of each parameter were different, the simulation exhibited a similar trend in the case of the experimentally obtained oxygen concentration dependence. After the validity of the simulation was verified to some extent via a comparison with the experiment, the results obtained from the simulation were analysed in detail. The results showed that, although the electric field strength in the secondary streamer did not change much as the oxygen concentration increased, the decrease rate of the electron density was greatly accelerated by the electron attachment reaction of oxygen. As a result, many of the electrons had already dissipate during the development of the primary streamer, and few electrons remained when the secondary streamer was formed. This effect suggests that the ratio of the amount of O radicals produced in the primary streamer to that produced in the secondary streamer changes as the oxygen concentration changes.
Spray pyrolysis synthesis of Sr2Si5N8:Eu2+ nanoparticles for light conversion film enhancing photosynthesis in greenhouses
Authors: Wang Yan , Zhou Lina , Cheng Lichun 
Published: June 2024

Abstract
This study presents a comparative analysis of Sr2Si5N8:Eu2+ nanoparticles synthesized using Spray Pyrolysis (SP) and Solid-State Synthesis (SSS). Through meticulous characterization, we found that the SP method significantly enhanced the morphological and optical properties of the nanoparticles. SP-produced nanoparticles demonstrated a 30% higher crystallinity and a 25% increase in luminescence intensity compared to their SSS counterparts. Additionally, the mesoporous structure characteristic of SP-synthesized particles exhibited a 15% greater surface area, measured at 124.7 m2 g−1, which contributed to improved light absorption capabilities. These attributes are crucial for the intended application of enhancing photosynthesis in greenhouse environments. The UV–Visible spectra confirmed that SP nanoparticles possess superior light conversion capabilities, with notable implications for optimizing light distribution to facilitate plant growth. This research highlighted the advantages of SP, including ease of scalability and enhanced optical performance, which are pivotal for agricultural applications. The study emphasized that the choice of synthesis method played a critical role in tailoring the properties of Sr2Si5N8:Eu2+ nanoparticles for specific functional requirements in optical and agricultural technologies.
Preparation of MoS2/CdS/TNAs ternary composite structures and study of their photocatalytic properties
Authors: Xiong Xudong , Liu Yang , Duan Zhenkun , Xiong Xiaobo , Wang Yongqian 
Published: June 2024

Abstract
TiO2 has long been favored by researchers as a representative of semiconductor photocatalysts. Titanium dioxide nanotubes (TNAs) have a larger specific surface area, which makes them more valuable for the design of photocatalyst carriers. CdS is also a typical photocatalytic semiconductor material with a narrow bandwidth, which has a better performance in the visible light region. However, it also has certain problems such as photocorrosion. The composite MoS2 has a better inhibition effect. In this study, MoS2 and CdS were composited on TNAs using electrochemical deposition for the first time, and MoS2/CdS/TNAs (MCT) ternary composite nanostructures were successfully prepared. The effects of electrochemical deposition voltage, reaction time, and the ratios of molybdenum and sulfur sources in the electrolyte on the MCT composite structures were investigated. In this work, the photocatalytic degradation of organic water pollutants was simulated using methylene blue, and the degradation rate reached 93.1% at 150 min. After cycling the degradation experiments for five times, the photocatalysts still had good stability. The results showed that the MCT has good photocatalytic activity, which provides a feasible way for TNAs in the design of photocatalyst carriers.
Investigating the optoelectronic characteristics of multilayer C and BN corographene using density functional theory
Authors: Majidi Roya , Ayesh Ahmad I 
Published: June 2024

Abstract
This study investigates the structural, optical, and electronic properties of multilayer carbon (C) and boron nitride (BN) corographene structures using first-principles calculations. The results confirm that these sheets, kept together through van der Waals forces, are energetically favorable and thermally stable. Mono-, bi-, and tri-layer C corographene sheets display semiconducting behavior, while the multilayer BN corographene sheets are insulators. Controlling the band gap can be achieved by increasing the number of layers. The optical characteristics of the sheets are anisotropic when applying electric fields polarized perpendicular or parallel to the sheets. They exhibit a high constant of static dielectric, as well as optical absorption with optical conductivity that increases according to the increase in the number of layers. The reflection and transmission constants showed that multilayer C and BN corographene sheets exhibit transparency, especially in the high-energy range. These findings suggest promising capabilities of C and BN corographene sheets for use in optoelectronic devices.
Pressure generation under deformation in a large-volume press
Authors: Wang 王 Saisai 赛赛 , Zhao 赵 Xinyu 鑫宇 , Hu 胡 Kuo 阔 , Feng 丰 Bingtao 丙涛 , Hou 侯 Xuyuan 旭远 , Zhang 张 Yiming 羿鸣 , Liu 刘 Shucheng 书成 , Shang 尚 Yuchen 宇琛 , Liu 刘 Zhaodong 兆东 , Yao 姚 Mingguang 明光 , Liu 刘 Bingbing 冰冰 
Published: June 2024

Abstract
Deformation can change the transition pathway of materials under high pressure, thus significantly affects physical and chemical properties of matters. However, accurate pressure calibration under deformation is challenging and thereby causes relatively large pressure uncertainties in deformation experiments, resulting in the synthesis of complex multiphase materials. Here, pressure generations of three types of deformation assemblies were well calibrated in a Walker-type large-volume press (LVP) by electrical resistance measurements combined with finite element simulations (FESs). Hard Al2O3 or diamond pistons in shear and uniaxial deformation assemblies significantly increase the efficiency of pressure generation compared with the conventional quasi-hydrostatic assembly. The uniaxial deformation assembly using flat diamond pistons possesses the highest efficiency in these deformation assemblies. This finding is further confirmed by stress distribution analysis based on FESs. With this deformation assembly, we found shear can effectively promote the transformation of C60 into diamond under high pressure and realized the synthesis of phase-pure diamond at relatively moderate pressure and temperature conditions. The present developed techniques will help improve pressure efficiencies in LVP and explore the new physical and chemical properties of materials under deformation in both science and technology.
Comprehensive new insights on the potential use of SiC as plasma-facing materials in future fusion reactors
Authors: Sizyuk T. , Brooks J.N. , Abrams T. , Hassanein A. 
Published: June 2024

Abstract
The performance of silicon carbide as an alternative plasma facing material (PFM) was studied at various irradiation conditions relevant to ion energies and fluxes of a fusion reactor. This analysis involves detailed modeling of subsurface plasma/material interactions, sputtered particle transport above the surface and redeposition, and related changes in material composition and microstructure induced by steady-state and Edge Localized Mode ion fluxes. Transition of a crystalline SiC surface to semi-crystalline and amorphous phases was analyzed based on advanced modeling of DIII-D tokamak experiments where SiC was irradiated in single- and multiple- L-mode and H-mode discharges. This analysis shows that displacement damage, particle deposition/redeposition, and D accumulation on the SiC divertor surface can lead to significant microstructural changes that result in enhanced sputtering erosion in comparison with the original crystalline material. However, the resulting total net erosion rate for a full-coverage, advanced tokamak, SiC coated divertor may well be acceptably low. Moreover, the C sputtering yield from the evolved SiC surface can be seven times lower than from a pure graphite surface; this would imply significantly reduced tritium co-deposition rates in a D-T tokamak reactor, compared with a pure carbon surface. It was also determined that chemical sputtering of both C and Si should not result in any noticeable effect on the net erosion, for attached plasma regimes. Our results thus show encouraging results overall for use of SiC as a PFM in tokamaks.
Quasidiscrete spectrum Cherenkov radiation by a charge moving inside a dielectric waveguide
Authors: Saharian A.A. , Dabagov S.B. , Khachatryan H.F. , Grigoryan L.Sh. 
Published: June 2024

Abstract
We investigate the Cherenkov radiation by a charge uniformly moving inside a dielectric
cylindrical channel in a homogeneous medium. The expressions for the Fourier components of the
electric and magnetic fields are derived by using the electromagnetic field Green tensor. The
spectral distribution of the Cherenkov radiation intensity in the exterior medium is studied for
the general case of frequency dispersion of the interior and exterior dielectric functions. It is
shown that, under certain conditions on the dielectric permittivities, strong narrow peaks appear
in the spectral distribution. The spectral locations of those peaks are specified and their
heights and widths are estimated analytically on the base of the dispersion equation for the
electromagnetic eigenmodes of the cylinder.
The LHCb VELO Upgrade module construction
Authors: Akiba K. , Alexander M. , Bertella C. , Biolchini A. , Bitadze A. , Bogdanova G. , Borghi S. , Bowcock T.J.V. , Bridges K. , Brock M. , Burke A.T. , Buytaert J. , Byczynski W. , Carroll J. , Coco V. , Collins P. , Davis A. , De Aguiar Francisco O. , De Bruyn K. , De Capua S. , De Roo K. , Doherty F. , Douglas L. , Dufour L. , Dumps R. , Dutta D. , Eklund L. , Elvin A. , Farry S. , Fernandez Prieto A. , Franco Lima V. , Freestone J. , Fuzipeg C. , Galati M.D. , Gallas Torreira A. , Geertsema R.E. , Gersabeck E. , Gersabeck M. , Grant F. , Halewood-leagas T. , Hennessy K. , Hulsbergen W. , Hutchcroft D. , Hynds D. , Jans E. , John D. , John M. , Jurik N. , Ketel T. , Klaver S. , Kopciewicz P. , Kostiuk I. , Kraan M. , Langstaff M. , Latham T. , Leflat A. , Lemos Cid E. , Lukashenko V. , Merk M. , Milovanovic M. , Monk M. , Murray D. , Nasteva I. , Oblakowska-Mucha A. , Pajero T. , Parkes C. , Pazos Alvarez A. , Perez Trigo E. , Perry M. , Reiss F. , Rinnert K. , Rodriguez Rodriguez E. , Rovekamp J. , Sanders F. , Scantlebury Smead L.G. , Schiller M. , Shears T. , Smith N.A. , Snoch A. , Švihra P. , Szumlak T. , van Beuzekom M. , van Overbeek M. , Vazquez Regueiro P. , Volkov V. , Wormald M. , Zunica G. 
Published: June 2024

Abstract
The LHCb detector has undergone a major upgrade for LHC
Run 3. This Upgrade I detector facilitates operation at higher
luminosity and utilises full-detector information at the LHC
collision rate, critically including the use of vertex
information. A new vertex locator system, the VELO Upgrade, has been
constructed. The core element of the new VELO are the double-sided
pixelated hybrid silicon detector modules which operate in vacuum
close to the LHC beam in a high radiation environment. The
construction and quality assurance tests of these modules are
described in this paper. The modules incorporate
200 μm thick, n-on-p silicon sensors bump-bonded to
130 nm technology ASICs. These are attached with high precision to
a silicon microchannel substrate that uses evaporative CO2
cooling. The ASICs are controlled and read out with flexible printed
circuits that are glued to the substrate and wire-bonded to the
chips. The mechanical support of the module is given by a carbon
fibre plate, two carbon fibre rods and an aluminium plate. The
sensor attachment was achieved with an average precision of
21 μm, more than 99.5% of all pixels are fully
functional, and a thermal figure of merit of
3 Kcm2W-1 was achieved. The production of the
modules was successfully completed in 2021, with the final assembly
and installation completed in time for data taking in 2022.
A scoping review of equitable climate adaptation research in U.S. cities
Authors: VanBuskirk Olivia G , Mullenbach Lauren E 
Published: June 2024

Abstract
As cities continue to prepare for climate change by developing adaptation plans, previous research has examined the content, creation, and considerations of equity and justice in these plans, particularly across United States cities. Climate adaptation activities create the potential for undue harm on marginalized populations, therefore it is important to understand the state of knowledge on equitable climate adaptation as cities begin implementing their plans. We conducted a scoping review of 15 journal articles on equitable adaptation in United States cities to document theoretical frameworks used and major findings. Studies included in our sample primarily used three different theoretical frameworks, including environmental justice theory, neoliberal urban governance, or just sustainabilities, to analyze how plans were created and their contents. Studies we analyzed indicate that cities were successful at identifying problems or challenges but struggled with articulating how to best engage residents and community members or to grapple with systemic issues. We also developed best practices for adaptation based on recommendations from the studies: have clear implementation guidelines, invest in frontline communities, regulate the private sector, work with community-based organizations, and develop regional planning initiatives. Overall, the state of knowledge is such that cities have taken the first step of creating adaptation plans, but how these plans are implemented will make the true difference for equitable outcomes.
Transformation of Palm Oil Mill Effluent: Simulating High-Purity Biogas Production Process for Power Generation
Authors: Maulana Hidayatullah Ibnu , Majdia Hasna , Yusuf Efendi Mochamad , Amir Nizar , Pertiwiningrum Ambar , Fahriz Perdana Harahap Andre , Gozan Misri 
Published: June 2024

Abstract
As the largest palm oil producer in the world, Indonesia is currently facing environmental challenges associated with the produced Palm Oil Mill Effluent (POME), which can pollute the environment. To address this issue, one practical approach is to convert POME into a valuable resource through appropriate techniques. POME contains high organic content that can be processed and utilized for biogas power generation. This study aims to design an effective biogas production process from POME for industrial-scale high-purity biogas power generation. The design process uses SuperPro Designer v13 to simulate the production process and economic evaluation. Decomposing organic materials in POME to produce biogas uses anaerobic microorganisms. This process involves several stages: hydrolysis, acidogenesis, acetogenesis, and methanogenesis. The result from this study shows that the plant can operate 182.5 batches/year with a batch time of 42.50 h, producing biogas with the composition of 3.86% carbon dioxide, 0.164% hydrogen sulfide, 0.089% hydrogen, 78.51% methane, and 2.028% water. Based on the analysis of economic indicators, such as Net Present Cost (NPC), Internal Return Rate (IRR), and Payback Period (PBP), it has been suggested that these projects are economically feasible. By utilizing methane gas generated from POME as biogas power generation, the emission of greenhouse gases into the atmosphere can be significantly reduced. The Biogas power plant from POME can be an alternative solution for electricity generation and sustainable palm oil industrial waste management.
The economic price of biomass energy plantation in the implementation of cofiring in Indonesia
Authors: Hendrasetiafitri C , Nugroho B , Hermawan D , Tiryana T 
Published: June 2024

Abstract
Biomass pricing plays an important role in ensuring the success of cofiring programs in coal-fired power plants. Higher prices will increase production costs, while setting lower prices may affect the sustainability of the biomass supplies. Therefore, determining the right price for biomass can provide a mutually beneficial solution between PLN and biomass industries. To determine the optimal price, it is necessary to calculate the price of biomass from the supply side (industry). It should have the minimum price that can still bring profits for the biomass industries. Fair economic prices are keys to creating an environment and business security that supports business development in the energy plantation (HTE) ecosystem for the implementation of cofiring.