bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fractions of Compact Object Binaries in Star Clusters: Theoretical Predictions
Authors: Li Zhong-Mu , Kayastha Bhusan , Kamlah Albrecht , Berczik Peter , Deng Yang-Yang , Spurzem Rainer 
Published: December 2022

Abstract
The binary population in field stars and star clusters contributes to the formation of gravitational wave (GW) sources. However, the fraction of compact-object binaries (CBs), which is an important feature parameter of binary populations, is still difficult to measure and very uncertain. This paper predicts the fractions of important CBs and semi-compact object binaries (SCBs) making use of an advanced stellar population synthesis technique. A comparison with the result of N-body simulation is also presented. It is found that most CBs are formed within about 500 Myr after the starburst. The fractions of CBs and SCBs are demonstrated to correlate with stellar metallicity. The higher the metallicity becomes, the smaller the fraction of black hole binaries (BHBs), neutron star binaries (NSBs) and SCBs. This suggests that the GW sources of BHBs and NSBs are more likely to form in metal-poor environments. However, the fraction of black hole-neutron star binaries is shown to be larger for metal-rich populations on average.
Rationalizing systematic discrepancies between election outcomes and opinion polls
Authors: Gamberi Luca , Vivo Pierpaolo , Förster Yanik-Pascal , Tzanis Evan , Annibale Alessia 
Published: December 2022

Abstract
The Bradley effect concerns the discrepancy between opinion polls and actual election outcomes that emerges when candidates do not exhibit mainstream ideological, sexual or racial features. This effect was first observed during the 1982 election for the Governor of California that resulted in a significant loss for the black Democratic candidate, Tom Bradley, despite him being ahead in polls. It has been argued that poll respondents tend to mask their true political preference and favour of what is generally considered more socially acceptable. We propose an exactly solvable statistical mechanical model, which allows for a quantitative exploration of this phenomenon. The model includes three main ingredients: (i) the tendency of individuals to align their real preference to the declared (public) opinions of others, (ii) a term accounting for an individual integrity factor, which induces voters to be consistent between their public and private opinions, and (iii) a self-monitoring component, which tunes the strength by which an individual is affected by and wishes to publicly conform to social norms. We observe the emergence of order in a wide range of parameters of the model and discuss the effect of noise on the correlation between hidden and public preference. Finally, we present an application of this model to the prediction of election outcomes.
Non-homogeneous random walks with stochastic resetting: an application to the Gillis model
Authors: Radice Mattia 
Published: December 2022

Abstract
We consider the problem of the first passage time to the origin of a spatially non-homogeneous random walk (RW) with a position-dependent drift, known as the Gillis random walk, in the presence of resetting. The walk starts from an initial site x
0 and, with fixed probability r, at each step may be relocated to a given site x

r
. From a general perspective, we first derive a series of results regarding the first and the second moment of the first hitting time distribution, valid for a wide class of processes, including RWs lacking the property of translational invariance; we then apply these results to the specific model. When resetting is not applied, by tuning the value of a parameter which defines the transition probability of the process, denoted by ε, the recurrence properties of the walk are changed, and we can observe: a transient walk, a null-recurrent walk, or a positive-recurrent walk. When the resetting mechanism is switched on, we study quantitatively in all regimes the improvement of the search efficiency. In particular, in every case resetting allows the system to reach the target with probability one and, on average, in a finite time. If the reset-free system is in the transient or null-recurrent regime, this makes resetting always advantageous and moreover, it assures the existence of an optimal resetting probability

r
∗

which minimizes the mean first hitting time. Instead, when the system is positive-recurrent, the introduction of resetting is not necessarily beneficial. We explain that in this case there exists a threshold

r

t
h

for the resetting probability r, above which the resetting mechanism yields a larger mean first hitting time with respect to the reset-free system. We provide a study of

r

t
h

, which can be zero for some values of the system parameters, meaning that resetting cannot be beneficial in those situations. All the theoretical findings are corroborated with numerical simulations.
The PADME charged particle spectrometer
Authors: Oceano Isabella 
Published: December 2022

The PADME experiment aims at searching signals of a dark photon A′. This is done evaluating the final state missing mass of the process e
+
e
− → A′γ by knowing the beam energy and measuring the four-momentum of the ordinary recoil photon. The determination of this quantity, and the capability to reject the background, are the key points for the success of the experiment.
Three charged particle detectors are employed to detect the positrons that have radiated a high energy photon in the target (PVeto), electrons from the beam interactions in the target or from particles which decay to final states with electrons (EVeto), and the positrons with a relatively low energy radiation in the target (HEPVeto). All three detectors are made of plastics scintillator bars placed inside the vacuum vessel of the PADME setup. PADME Commissioning took place in 2018-2019 with the beam of the Linac of the local Beam Test Facility (BTF) and results and performance of the veto stations will be presented.
Strategies for reducing the use of greenhouse gases from particle detectors operation at the CERN LHC Experiments
Authors: Mandelli Beatrice , Corbetta Mara , Guida Roberto , Rigoletti Gianluca 
Published: December 2022

A wide range of gas mixtures is used for the operation of the gaseous detectors at the CERN LHC experiments. Some gases, as C2H2F4, CF4, C4F10 and SF6, are greenhouse gases (GHG) with high global warming potential and therefore subject to a phase down policy.
The reduction of GHG emissions is of paramount importance for CERN, which has identified four different strategies. The first strategy is based on the optimization of the gas mixture recirculation plants already in use. The second approach is the recuperation of used gas mixtures followed by separation of the GHG for its re-use. Several R&D are ongoing to evaluate this possibility and prepare the design of final systems. A third approach is making use of industrially available solutions for disposal of GHGs. Finally, the search of new eco-friendly gases is object of many R&D programs by the detector communities.
The four strategies will be compared by considering investment required, return benefit and technological readiness.
A method for locating abnormal sound in transmission line channels based on time delay estimation and equipment coordinates
Authors: Sun Xiaobin , Cai Fudong , Yang Jie , Guo Guoxin , Liu Huanyun , Liu Xiaoqing , Kong Zhiqiang , Lv Changfeng 
Published: December 2022

Abstract
To get rid of the current transmission line visual monitoring device which only relies on a single photo-monitoring method, this paper proposes a method based on time-delay estimation and equipment coordinates to locate abnormal sound in the transmission line channel. Firstly, the audio-visual equipment is selected to collect the abnormal sound information of any transmission line as the reference warning record, and the relative time difference between other warning records and the reference warning record is determined. Then, the corresponding audio-visual equipment of the reference alarm record is used as a reference point to set up a Cartesian coordinate system, obtain the GPS information of other audio-visual equipment, unify the GPS information, and get the coordinates of other audio-visual equipment; finally, based on the reference point coordinates, other audio-visual equipment coordinates, and the relative time difference, the transmission channel abnormal sound source coordinates are obtained. Through the experiment of firecracker sound, we can get the firecracker sound within 2km in the open environment, which proves that the location method can effectively enhance the monitoring effect of the transmission channel.
Research on the construction scheme of the emergency communication link in electric power system without public network signals
Authors: Meng Zijian , Hu Ming , Fang Shuang , Wang Zhigang , Wu Qing , Zhao Xunwei , Liu Di 
Published: December 2022

Abstract
Recently, natural disasters have occurred frequently which usually cause great damage to communication links. Emergency communication technology is the key technology to connecting the emergency site and the command center under the condition of communication system collapse, and it plays an extremely important role in the process of emergency rescue. Based on the disaster scene of the electric power system, this paper fully considers the extreme conditions of power outages, network disconnection, and traffic interruption at the emergency site, and proposes an emergency communication link construction scheme. After the pilot test, the scheme proposed in this paper can quickly restore the network signal coverage of the emergency site, and establish the communication link between the command center and the emergency site which can provide a reliable communication guarantee for power emergency rescue operations.
Open-set HRRP recognition method based on joint sparse representation
Authors: Qu Shuang , Liu Shengqi , Fu Qiang 
Published: December 2022

Abstract
Aiming at the problem of multi-view high-resolution range profile (HRRP) target recognition under open set conditions, we proposed an open set recognition method based on joint sparse representation (JSR), which solves the problem of low recognition rate of traditional methods under open set conditions. This method is applied to the background of radar single-station observation. JSR is used to solve the reconstruction error of multi-view HRRP by the over-complete dictionary, while extreme value theory (EVT) is used to model the reconstruction error tailing of matching and non-matching categories and transform the open set identification problem into a hypothesis testing problem. During recognition, we use the reconstruction error to determine the candidate class, the scores of the matching class and non-matching class are obtained according to the confidence of tail distribution, and the weighted sum of the two is used as the category criterion to finally determine the target or candidate class outside the library. This method can effectively use the relevant information between multi-view HRRPs to improve the performance of HRRP recognition under open set conditions. The algorithm is tested with HRRP data generated from MSTAR inversion, and the results show that the performance of the proposed method is better than the mainstream open set recognition method.
A Kind of Antenna Array Based on Dielectric Antenna with Small Size
Authors: Zhou Chang , Xia Jing , Li Yaohua , Wang Nan 
Published: December 2022

Abstract
Based on the antenna array design method, a new antenna array is designed in this paper. The optimization design results show that the existence of dielectric materials can effectively compress the electromagnetic field, which could greatly reduce the antenna size. The design results show that the size of this type of antenna array is 126mm * 126mm, which is only 70% of the conventional antenna array, the working frequency is 2.4GHz, the return loss is not more than -10dB, the gain is not less than 12dBi, the half power beam width is not more than 40 degrees and the design results show that the dielectric antenna array has excellent performance and good application prospect in the modern communication system.
Research on Transmission Characteristics of 5G Signal for Indoor Substation Based on Ray Tracing
Authors: Huang Chengbin , Huang Wei , Jiang Hua , Li Jia , cong Li , Tian Xiaoyan 
Published: December 2022

Abstract
The 5G networks can be used to enhance the transmission ability of substation power services. However, because of the complex and diverse environment of substations, such as the presence of a large number of obstacles of different materials and electrical equipment indoors, we need to conduct wireless coverage modeling and transmission quality assessment. In this paper, the 5G signal transmission characteristics in the indoor environment of substations for the established indoor environment and equipment layout are analyzed using methods such as road loss statistical analysis and 3D ray tracing. It can quickly evaluate the 5G indoor coverage quality of substations and provide technical support for planning a reasonable and efficient 5G network.
Low profile filtering antenna with high selectivity without extra circuit
Authors: Li Weishan , Zang Yiping , Ma Jie , Yang Jiangjun , Xiong Wenjun 
Published: December 2022

Abstract
A novel microstrip filtering antenna with high selectivity is presented. A shorting SIR stub and a square patch with a rectangular ring slot are designed to produce a couple of radiation nulls near the passband, respectively. The bandwidth (3.44GHz-3.94GHz) is wider than that in a traditional antenna. In the presented antenna, the selectivity of the right side of passband is 30.3 dB, and the selectivity of the left side of passband is 18.2dB without an extra circuit. The proposed antenna consists of three layers of stacking structure connected tightly up and down, so it has an easy fabrication structure. Flat gain, compact size 0.49λ*0.49λ*0.07λ, and higher front and back ratio (>20dB) are obtained than the conventional antenna.
Distributed power supply and energy storage configuration method in the active power distribution network
Authors: Zhao Lu , Peng Zhaozhao , Ni Wenbin 
Published: December 2022

Abstract
Distributed energy access and energy storage configuration are important links in the design of an active distribution network, and research on their design methods is essential to support the scientific development of an active distribution network. Therefore, on the basis of full research and demonstration, the content of the scheme design of the active distribution network and the technical principle of the overall design of the active distribution network are first determined, so that they can play the role of macro instruction in the scheme design. In addition, this paper deeply studies the capacity allocation of distributed generation and energy storage systems in the active distribution network, puts forward a general method for optimal allocation of distributed generation access and energy storage capacity, and provides design information and technical support for the active distribution network method.
Improvement on the DV-hop localization algorithm based on average hop distance optimization
Authors: Xu Jia , Tian Yue , Wang Xianling , Zhu Chen 
Published: December 2022

Abstract
Wireless sensor networks, which have numerous uses in numerous industries, have attracted more attention over the past few years. Node localization is one of the gordian technology to locate in it. This research sought to address the low precision of the classic DV-hop algorithm in the context of wireless sensor networks. This novel DV-hop localization algorithm is given some practical solutions in this paper. The results of the simulations demonstrate that the new method can improve accuracy and increase communication range. First of all, the least squares method is applied to correct the average length of each hop between beacon nodes. In addition, an error distance matrix is defined as an intermediate variable to reckon the average length between the unknown node and the beacon node for each jump and select the minor error distance matrix. Finally, this improved algorithm chooses the minimum error distance matrix from the previous steps and modifies it. Simulation consequences reveal that this modified algorithm can better enhance the accuracy and extend the communication range.
Preparing potassium fulvic acid based on lignite from different regions of China
Authors: Gong Qi , Wang Lele , Tang Kexin , Han Shuo , Wu Guochao , Hu Zunfu 
Published: December 2022

Abstract
China is the world’s biggest coal producer and is rich in coal resources. But lignite is one of the coal resources with a lower utilization rate and added value. How to improve its utilization rate and added value has drawn great interest among researchers. Potassium fulvic acid is successfully extracted from 29 lignites collected from different regions of the country, and treated with alkali and sulfonation. The results show that the yield of potassium fulvic acid from lignite from Xinjiang coal mines is relatively high, while from Yunnan coal mines are relatively low. After the orthogonal experiment, the order of the influencing factors of this experiment is explored as follows: potassium hydroxide>formaldehyde>temperature>sodium sulfite>time. The best process conditions are 13% potassium hydroxide, 70°C, 2 h, 6 % formaldehyde, and 17% sodium sulfite.
Design of an Aptasensor Based on AuNPs@Fc-rGO for Detection of GPC3
Authors: Wu Guangxiong , Liu Liyu , Zhou Zhide , Yao Xiaoqing 
Published: December 2022

Abstract
Hepatocellular carcinoma (HCC) is the cancers with a high incidence and mortality rate.. Its existence poses a great threat to people’s life and health. Recently, Glypican-3 (GPC3) has became one of the valuable markers for the diagnosis of HCC. In this study, a GPC3 aptasensor was constructed based on AuNPs@Fc-rGO and the specific recognition of GPC3 aptamer. AuNPs@Fc-rGO had electrochemical activity, signal amplification and biocompatibility. Under the optimized conditions, the value of peak current correlate linearly with the concentration of GPC3 from 0.01 to 10.0 μg/mL, the linear equation was Y = 6.8223-0.3225X with R2 = 0.9925, and the LOD was 3.16 ng/mL. In addition, the experimental results show that the sensor has excellent stability and specificity. It provides a simple detection method for patients with early HCC.
Andesite tailings and municipal solid waste incineration fly ash based glass ceramics
Authors: Huang Xinyi , Li Jiali , Dai Wenjie , Chen Ying , Wang YongYa 
Published: December 2022

Abstract
To realize the utilization of andesite tailings and solve the environmental problems caused by municipal solid waste incineration (MSWI) fly ash, both of them were selectively used as raw materials to prepare glass ceramics by sintering process. The effects of components on the properties of glass ceramics were analyzed. The results showed that glass-ceramic sample 21 prepared from andesite tailings and MSWI fly ash had the best performance, the bending strength was 94.8Mpa. At the same time, its acid and alkali resistance were the best, while the thermal conductivity was the lowest. The leaching of heavy metal elements in all the samples met the Chinese national standard. These results will provide some reference for the resource utilization of andesite tailings and MSWI fly ash.
Relativistic density functional investigation of the mono-lanthanum silicide clusters LaSin (n=1-6): geometries, electronic properties and IR spectra
Authors: Yang Aping , Tian Shanshan , Guo Ping 
Published: December 2022

Abstract
The mono-lanthanum silicide clusters LaSin (n=1-6) have been studied adopting the relativistic density functional calculation with generalized gradient approximation. Considering different spin configurations, we calculated and discussed the equilibrium geometries, charge populations, the HOMO-LUMO gaps, as well as infrared (IR) absorption spectra of LaSin (n=1-6) clusters. It is found that: the lowest-lying LaSin (n=1-6) clusters basically maintain a similar framework to the low-lying Sin+1 clusters, and the La atoms prefer the surface sites. The relative stabilities are investigated based on the calculation of fragmentation energies and, showing that LaSi2, LaSi4, and LaSi5 clusters have enhanced stabilities. Charge populations analysis shows that the charges transfer from La atom to Sin framework and the La atom acts as an electron donor. HOMO-LUMO gaps indicate that LaSi2 and LaSi5 clusters have higher chemical stabilities. IR absorption spectrum and vibrational mode analysis show that the highest frequency absorption peaks all correspond to the breathing mode of the silicon framework, and the characteristic infrared absorption peaks caused by La atom vibration, except for LaSi dimer, all appeared in the low-frequency region.
Study on Silica Aerogel Modified by Trimethylchlorosilane
Authors: Ren Longfang , Sun Shibing , Dong Quanxiao , Wang Hao 
Published: December 2022

Abstract
The mechanical properties of SiO2 aerogel prepared under atmospheric pressure are poor, so it is difficult to prepare large pieces of materials for practical engineering. In this paper, trimethylchlorosilane (TMCS) was used as a surface modifier to transform hydrophilic substances with higher surface activity into hydrophobic groups, to improve the network strength of SiO2 aerogel. Super-hydrophobic SiO2 aerogel was prepared by the sol-gel method under atmospheric pressure. The effects of trimethylchlorosilane on the structure and properties of SiO2 aerogel were characterized by a specific surface area analyzer, Fourier transform infrared spectrometer, thermal conductivity meter, static contact angle meter, and scanning electron microscope. The results show that the SiO2 aerogel prepared when n (Si):n (TMCS) is 1 has the best performance. Its density is as low as 0.0759 g/cm3, the porosity is as high as 96.5%, the specific surface area is as high as 723.08 m2/g, and the contact angle is 163.8°. It has good hydrophobic properties.
Preparation and Properties Evaluation of Photocatalytic Self-Cleaning Aramid Fabric Based on SiO2-TiO2-Fe Composite Aerogels
Authors: Wei Yuhui , Zheng Chen , Cheng Ersu , Zhao Shuhan 
Published: December 2022

Abstract
Because of the fire scene belonging to the coexistence of mud, ash, oil, and other stains, fire clothing is easy to stain, and frequent washing also reduces the protective performance of clothing and even shortens service life. To improve the self-cleaning properties of aramid fabric, N,N-dimethyl hexamide (DMAC), butyl titanate, tetraethoxysilane, butyl ferrate, polydimethylsiloxane, and N-hexane were prepared and mixed on the surface of the fabric. And the surface morphology, self-cleaning, and flame retardancy of fabric before and after treatment were systematically investigated. The results showed that compared with the untreated fabric, the surface of the treated fabric had a rough microstructure; PDMS/SIO2-TIO2-Fe composite was uniformly coated on the surface of the aramid fabric by the one-step spraying method. The flame retardancy decreased slightly but remained within the standard requirement of the B1 grade. The self-cleaning and anti-fouling properties of the finished aramid fabric were improved obviously. The results provided a theoretical basis for the preparation of high-performance fire-fighting fabrics with the advantages of water-saving, energy-saving, reducing the amount of chemical detergent and being friendly to the environment. The utility model reduced the economic loss and the waste of resources because of the decrease in the function of the fire-fighting clothing caused by the washing and the elimination to a certain extent.