bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Comprehensive Evaluation of Near-zero Carbon Emission Parks Based on Variable Weight Theory
Authors: Huang Rong , Ma Zhicheng , Liang Tian , Xi Jiafu , Wang Yongli , Su Zhan , Yuan Bo 
Published: February 2023

Abstract
Near-zero carbon emissions are the further deepening and implementation of low-carbon emissions and a dynamic process constantly moving towards zero carbon emissions. With the carbon formation life cycle as the core, the low-carbon park is divided into smart parks and ecological parks. They are starting from the four elements of planning, near-zero carbon technology, carbon emission management, and environmental health, and forming an index system architecture according to the park’s carbon emission traceability tracking system. When the park is in different stages of near-zero carbon development, the internal differences of evaluation indicators are also different. The constant weight evaluation method cannot reflect the impact of each indicator on the development of near-zero carbon, which will affect the accuracy of the evaluation results. By introducing variable weight theory, a penalty variable weight model is constructed, and the model is applied to the case park. Comparing the results of the constant-weight evaluation and variable-weight evaluation, it can be seen that the evaluation results of the variable-weight evaluation model are easier to distinguish the development level. The verification results show that the variable weight evaluation method is more suitable for the dynamic characteristics of near-zero carbon development.
Application of Ultrasonic Phased Array Technology in the Inspection of Small Diameter Pipe Welds on the Heating Surface of Circulating Fluidized Bed Boilers
Authors: Liu Fuping 
Published: February 2023

Abstract
As a new type of testing technology, ultrasonic phased array testing technology can achieve the efficiency and quality that other testing methods cannot achieve. This paper gives a comprehensive overview of the application of ultrasonic phased array technology in the inspection of small diameter pipe welds of circulating fluidized bed boiler, analyzes the difficulties in the inspection process, and summarizes the possible non-relevant indications generated by the ultrasonic phased array. This paper can provide a reference for the application of ultrasonic phased array testing technology in the detection of small diameter pipe welds of circulating fluidized bed boilers and has practical significance for the relevant research of ultrasonic phased array testing technology.
Study of Wall Strain during LaNi5 Alloy’s Hydrogen Absorption/Desorption Process
Authors: Yin Xuwen , Cao Shuaijie , Yang Fusheng , Imin Rahmatjan 
Published: February 2023

Abstract
An experimental LaNi5 alloy’s hydrogen absorption/desorption system was established to explore the strain generation process mechanism on the reactor wall during the cyclic hydrogen absorption/desorption process of LaNi5 alloy powders at room temperature after different cycles and periods. On this basis, the influence of the hydrogen pressure on the wall strain of the reactor was verified. Results showed that with the increase in cycles, the reactor wall was subjected to an expansion strain, and the closer to the reactor bottom, the greater the strain value. As the hydrogen pressure grew from 3.0 to 4.0 MPa, the strain value at the reactor bottom increased obviously. Still, it did not grow during cycling experiments with hydrogen, indicating that the agglomeration phenomenon was mainly attributed to the pulverization effect after hydrogen absorption by the alloy instead of the gas pressure itself. After 24 cyclic reactions, the wall strain at the 1/5 position from the bottom experienced changes in growth laws since the thermal strain was not enough to influence the expansion strain triggered by agglomeration, and the closer to the reactor top, the more greatly the wall strain was influenced by reaction heat.
Numerical Study of Diesel Engine with Different Injection Strategies
Authors: Zhao Yiting , Dong Pingping , Wu Shi , Feng Shiquan 
Published: February 2023

Abstract
In this paper, a reduced mechanism for diesel engines is developed, including 148 species and 647 reactions. The reduced mechanism includes NOX and soot sub-mechanism. Based on the reduced mechanism, a three-dimensional simulation of a diesel engine is carried out. Diesel is injected directly into the cylinder. By changing the strategy of diesel injection, the combustion in the engine cylinder under fixed conditions is simulated, and the pollution of combustion is analyzed. According to the simulation results, it is found that the injection strategy can change the temperature and pressure in the cylinder. Hence a better strategy will improve the combustion efficiency, reduce the generation of no and no2, and maybe reduce the mass fraction of soot et.al. The simulation results showed that different injection strategies have a great influence on the in-cylinder pressure, temperature, and pollution. The conclusion will be helpful in improving the fuel injection strategy and improving the performance of diesel engines.
Regional Comprehensive Energy System Planning Considering Construction Cost under Dual Carbon Goals
Authors: Wei Dongni , Che Bin , Zhang Zelong , Qi Caijuan , Dong Xiaojing 
Published: February 2023

Abstract
Under the dual-carbon goal of carbon peaking and carbon neutrality, from the perspectives of energy supply, coupling, consumption, etc., analyzing the carbon reduction path of the regionally integrated energy system and making an overall plan for it is the key to carbon emission reduction in the power industry, boosting an important starting point for the realization of the “double carbon” goal. To this end, under the constraints of carbon targets, a regional comprehensive energy system planning model considering construction cost is proposed that considers optimal construction timing and demand response. First, regional carbon emission quotas were allocated through the baseline method, and a regional comprehensive energy system planning model was established. Finally, the future challenges faced by the regional low-carbon integrated energy system have been prospected.
Experimental Study on Geometrical Characteristics of a Square Turbulent Buoyant Jet Flame
Authors: Sun Y , Liu N , Gao W 
Published: February 2023

Abstract
This paper gives the experimental results for the buoyant jet diffusion flame in square burners. The flame height and lift-off were measured and discussed. The results show that the normalized flame height and lift-off height of square flames are lower than that of round flames with the same experimental conditions, which indicates enhanced air entrainment in square flames. The model of flame height based on the flame Froude-number, which integrates a correction factor to account for the enhancement of air entrainment, reasonably collapses the square flame data under different experimental cases. The critical Froude number for the transition from buoyancy to momentum controlled regime of a square jet flame is highly dependent on the fuel type and burner size. The lift-off height of the square jet flames increases linearly when the initial velocity increases, but also depends on the fuel type and burner size. A unified correlation using a dimensionless flow number derived from the mixedness-reactedness flamelet model is established, which reasonably predicts the lift-off distances of square jet flames.
Experimental Research on Photovoltaic-Temperature Difference Hybrid Power Generation System
Authors: Lin Yujie , Ma Xinxia , Qi Yumin , Wu Tianyu 
Published: February 2023

Abstract
With the increasingly prominent environmental problems, more and more attention has been paid to new energy power generation. A photovoltaic power generation is currently a well-developed form of new energy power generation. However, in the process of photovoltaic power generation, only part of the wavelength of light can be used to generate power. The rest will be converted to heat, which increases the temperature of the photovoltaic panels, resulting in lower power generation efficiency. In order to improve the efficiency of photovoltaic panels, a photovoltaic-temperature difference (PV-TE) hybrid power generation system can be formed by combining photovoltaic power generation with the thermoelectric generation, which is based on the Seebeck effect. Based on this, we set up the photovoltaic-temperature hybrid power system test bench for testing. The results show that when the working circuit of the TE device is closed, the residual heat of the photovoltaic panel can be used to generate power. It can also cool down the photovoltaic panel at the same time. Thus, the output power increase by about 0.68%.
Application of LSTM Method Combined with Feature Optimization in Chiller Failure Detection
Authors: He Yan , Zhou Chuanhui , Hu Yunpeng 
Published: February 2023

Abstract
Aiming at the characteristics of a long short-term memory network (LSTM) which is suitable for processing high-dimensional, strongly coupled, and highly time-dependent data, it combines the advantages of feature selection to reduce the difficulty of learning tasks and improve the performance of model fault diagnosis. This paper proposes an LSTM method combining sequential floating forward search with integrated feature selection for chiller sensor deviation fault detection. The detection results of the proposed method are compared with those of the single feature selection method, and it is concluded that the detection efficiency of the proposed method in chiller sensor deviation fault detection is significantly better than that of the single feature selection method.
Numerical Simulation of Icing Characteristics on the Surface of an Aero-engine Guide Blade
Authors: Zhu Qiankun , Guan Ning 
Published: February 2023

Abstract
This paper takes the guiding blade of a type of aero-engine needle as the research object for the icing problem of the guiding blade and uses the numerical simulation method to simulate the airflow field, supercooled water droplet impact and icing situation on the surface of the guiding blade under different flight conditions, to analyze the influence of flight speed on the icing situation of the guiding blade. It is found that the incoming flow velocity has a significant effect on the icing of the guide vanes, with the flight velocity increasing from 34m/s to 102m/s, the icing of the leading edge of the vanes increases by 98.1%; meanwhile, the icing range of the guide vanes is significantly related to the incoming flow velocity, with the flight velocity increasing, the icing range expands significantly; in addition, the icing range gradually expands from the root to the outermost end of the vanes, with the flow velocity The maximum icing range at 102m/s was extended from 17% to 20% of the chord length.
Based on Phase Change Materials of Research on Compressor Tip Clearance Control
Authors: Peng RenLiang , Li JiangHong , Cai FeiChao 
Published: February 2023

Abstract
The reduction of tip clearance height of the compressor has an important influence on the improvement of compressor efficiency. The goal of tip clearance control technology is to reduce clearance height. Firstly, the phase change principle of phase change materials is analyzed. Under temperature excitation, when the phase change material is in the solid-liquid two-phase region, the volume of the phase change material will change with temperature. A phase change mechanism for tip clearance control was developed, and the clearance control scheme was designed. Finally, the feasibility of the gap control scheme is verified by the gap control function experiment.
Model Development and Numerical Investigation of the Slag Formation in an Entrained-Flow Gasifier
Authors: Jiang Shuai , Zhou Quan , Ge Zhi-Hong , Chen Wei , Xing Jing-Wen , Zhang Wen-Bin , Jiang Cong-Bin , Ding Jian-Ping 
Published: February 2023

Abstract
Understanding the formation and the flow of molten slag in the water-cooled membrane wall pulverized coal entrained flow gasifier was very important to determine the wall heat transfer and the reactor operation. In the standard model’s CFD simulation, the wall boundary condition was only able to be set as a fixed heat flow, which was not accurate in describing the influence of the temperature distribution and slag distribution on heat transfer under the actual situation. In this work, an extensive and detailed slag model was established and validated. The complete slag model included a particle capture model, wall heat transfer model, and slag thickness model through real-time coupling with CFD. Particle capture criteria were discussed and used to decide the particle behavior if particles collide on the reactor wall. The slag flow model was established from this criterion to calculate the mass flow rate and the thickness of the liquid slag. The slag thickness model calculated the heat transfer at each wall location, and the coupled temperature, slag thickness, and heat transfer curves were finally obtained through iteration. The models were proved reliable by comparing the simulation with industrial results. The model predicted the slag thickness of liquid and solid slags, the wall temperature, and the heat flux through the wall. The model’s establishment further understood the slag formation, slag thickness distribution, and wall temperature distribution. It also played a guiding function in industrial operations.
The XeBRA platform for liquid xenon time projection chamber development
Authors: Baur Daniel , Bismark Alexander , Brown Adam , Dierle Julia , Fischer Horst , Glade-Beucke Robin , Grigat Jaron , Kaminsky Basho , Kuger Fabian , Lindemann Sebastian , Masson Darryl , Meinhardt Patrick , Rajado Silva Mariana , Schumann Marc , Tönnies Florian , Toschi Francesco 
Published: February 2023

Abstract
XeBRA is a flexible cryogenic platform designed to perform
research and development for liquid xenon detectors searching for
rare events. Its extra-large outer cryostat makes it possible to
install a wide variety of detector designs. We present the system,
including its cryogenic, gas handling, data acquisition and slow
control subsystems. Two dual phase time projection chambers with
sensitive masses at the 1 kg scale have so far been operated in
XeBRA. Using data from these, we determine the field-dependence of
the electron drift velocity in liquid xenon. We also measure the
relative charge and light yields for 41.5 keV energy deposits from
83mKr with electric drift fields between 50 V/cm and
677 V/cm.
Carbodiimide crosslinked decellularized lenticules as a drug carrier for sustained antibacterial eye treatments
Authors: Rao Jing , Zhou Qizhi , Chen Jiansu , Gu Jianing , Wang Yini , Liu Yonghuan 
Published: February 2023

Abstract
In this study, the drug-loading and antibacterial activity of carbodiimide/N-hydroxysuccinimide (EDC/NHS) crosslinked decellularized lenticules (CDLs) were evaluated. Small incision lenticule extraction derived lenticules were decellularized and modified with crosslinking concentrations of 0.00 (E/L00, non-crosslinked), 0.01 (E/L01), 0.05 (E/L05) and 0.25 mmol (E/L25) EDC per mg lenticules at 5:1 EDC/NHS ratios with non-decellularized non-crosslinked lenticules (NDLs) as controls. NDLs and EDC/NHS CDLs had similar water contents. The light transmittance percentages (400–800 nm) were 91.55 ± 1.16%, 88.68 ± 1.19%, 80.86 ± 1.94%, 85.12 ± 2.42% and 85.62 ± 2.84% for NDLs, E/L00, E/L01, E/L05 and E/L25, respectively (P < 0.01). The EDC/NHS CDLs (diameter: 6.36 ± 0.18 mm; central thickness: 117.31 ± 3.46 μm) were soaked in 3% (wt./vol.) levofloxacin (LEV) solution for 3 h. The drug release concentrations of LEV-impregnated EDC/NHS CDLs were determined by high-performance liquid chromatography. Zone inhibition (ZOI) against Staphylococcus aureus of E/L01, E/L05 and E/L25 were superior to E/L00 CDLs (P < 0.01) and among the different crosslinked groups, E/L05 lenticules produced the largest ZOIs and their drug concentration release over 21 d was the highest. EDC/NHS crosslinking can improve the drug-loading effect and antibacterial activity of decellularized lenticules. LEV-impregnated EDC/NHS CDLs are promising drug delivery carriers.
Diffusion with stochastic resetting screened by a semipermeable interface
Authors: Bressloff Paul C 
Published: February 2023

Abstract
In this paper we consider the diffusive search for a bounded target

Ω
∈

R

d

with its boundary

∂
Ω

totally absorbing. We assume that the target is surrounded by a semipermeable interface given by the closed surface

with

. That is, the interface totally surrounds the target and thus partially screens the diffusive search process. We also assume that the position of the diffusing particle (searcher) randomly resets to its initial position x
0 according to a Poisson process with a resetting rate r. The location x
0 is taken to be outside the interface,

, which means that resetting does not occur when the particle is within the interior of

. (Otherwise, the particle would have to cross the interface in order to reset to x
0.) Hence, the semipermeable interface also screens out the effects of resetting. We illustrate the theory by explicitly solving the boundary value problem for a three-dimensional (3D) spherically symmetric interface and a concentric spherical target. We calculate the mean first passage time (MFPT) to find (be absorbed by) the target and explore its behavior as a function of the permeability κ
0 of the interface and the radius of the interface R. In particular, we find that increasing R for a fixed target size reduces the MFPT and increases the optimal resetting rate at which the MFPT is minimized. We also find that the sensitivity of the MFPT to changes in κ
0 is a decreasing function of R. Finally, we introduce a stochastic single-particle realization of the search process based on a generalization of so-called snapping out Brownian motion (BM). The latter sews together successive rounds of reflecting BM on either side of the interface. The main challenge is establishing that the probability density generated by the snapping out BM satisfies the permeable boundary conditions at the interface. We show how this can be achieved using renewal theory.
Partially coherent sources whose coherent modes are spatiotemporal optical vortex beams
Authors: Hyde IV Milo W , Korotkova Olga , Spencer Mark F 
Published: February 2023

Abstract
We analyze three non-stationary partially coherent sources whose coherent modes are spatiotemporal optical vortex (STOV) beams. Using spatiotemporal (ST) Bessel–Gauss and Laguerre–Gauss beams (STOV-carrying solutions to the space-time paraxial wave equation) as eigenfunctions in the coherent-modes representation of the mutual coherence function, we derive the ST versions of J
0-Bessel-correlated, I

n
-Bessel-correlated, and twisted Gaussian Schell-model beams. We model, in simulation, these ST random beams via their coherent-modes expansions, compare and contrast the simulated results to theory, and analyze/discuss their free-space propagation characteristics. The work presented in this paper will be useful for simulating or physically generating these ST beams for use in applications or future studies.
Powerful but short-lived: pop bands as influencers of climate discussions on twitter
Authors: Deb Briti , Murali Ranjini , Nagendra Harini 
Published: February 2023

Abstract
Influencers are considered important in raising environmental awareness on social media. In February 2021, BlackPink, a popular popband, were announced as official advocates for COP26, which was followed by tweets on Twitter. We aimed to study the effectiveness of influencers for climate communication on social media. We analyzed the spread of tweets and the duration of effects over a period of four weeks following the announcement. We found that on the day of the event there were 1518 primary tweets which were liked and retweeted 2600 times which reduced to 62 primary tweets and 209 retweets and likes four weeks after the event. We also found that the influencer engaged a community that might not have been otherwise engaged, specifically fans of BlackPink, but this was short lived. Our findings suggest that influencers are potentially important to raise awareness, but efforts are needed to sustain engagement.
Key bottlenecks and distinct contradictions in fast commercialization of perovskite solar cells
Authors: Liu Wenguang , Raza Hasan , Hu Xiaodong , Liu Sanwan , Liu Zonghao , Chen Wei 
Published: February 2023

Abstract
Despite significant improvements in photo-electricity conversion efficiency of perovskite solar cells (PSCs) over the past several years, this emerging photovoltaic technology is still years away from large-scale commercial application. In this review, important research progresses on PSCs’ ‘golden triangle’ parameters of efficiency, stability, and cost in literatures were objectively analyzed. We focused on their key bottlenecks and distinct contradictions hindering their fast commercialization. We also proposed the most urgent directions requiring intensive research and development input in the coming years to speed up the commercialization process of PSCs.
An improved hierarchical variational autoencoder for cell–cell communication estimation using single-cell RNA-seq data
Authors: Liu Shuhui , Zhang Yupei , Peng Jiajie , Shang Xuequn 
Published: February 2023

Abstract
Analysis of cell–cell communication (CCC) in the tumor micro-environment helps decipher the underlying mechanism of cancer progression and drug tolerance. Currently, single-cell RNA-Seq data are available on a large scale, providing an unprecedented opportunity to predict cellular communications. There have been many achievements and applications in inferring cell–cell communication based on the known interactions between molecules, such as ligands, receptors and extracellular matrix. However, the prior information is not quite adequate and only involves a fraction of cellular communications, producing many false-positive or false-negative results. To this end, we propose an improved hierarchical variational autoencoder (HiVAE) based model to fully use single-cell RNA-seq data for automatically estimating CCC. Specifically, the HiVAE model is used to learn the potential representation of cells on known ligand–receptor genes and all genes in single-cell RNA-seq data, respectively, which are then utilized for cascade integration. Subsequently, transfer entropy is employed to measure the transmission of information flow between two cells based on the learned representations, which are regarded as directed communication relationships. Experiments are conducted on single-cell RNA-seq data of the human skin disease dataset and the melanoma dataset, respectively. Results show that the HiVAE model is effective in learning cell representations, and transfer entropy could be used to estimate the communication scores between cell types.