bluuebunny/crossref_metadata_2025_split huggingface dataset:
The CROSS experiment: search for 0v2β decay with surface sensitive bolometers
Authors: Zolotarova Anastasiia 
Published: October 2020

Abstract
CROSS (Cryogenic Rare-event Observatory with Surface Sensitivity) is a project aiming to develop a new bolometric technology enabling an active background rejection in 0v2β search. The isotopes of interest are 100Mo and 130Te, and bolometers are based on Li2MoO4 and TeO2 crystals. The key feature of CROSS detectors is the possibility of pulseshape discrimination of near surface interactions. An ultrapure superconductive aluminum film, deposited on the crystal surface, is acting as a pulse-shape modifier for phonon sensors, providing separation of surface events from bulk ones. First prototypes were produced and successfully tested aboveground with the rejection of α surface radioactivity higher than 99.9%. A demonstrator with 32 0.28-kg Li2
100MoO4 crystals will be installed in a dedicated cryostat in the Canfranc underground laboratory (Spain) to confirm the reproducibility of surface sensitive bolometers. CROSS demonstrator can obtain sensitivities to the effective Majorana mass down to 70 meV in the most favorable conditions. The CROSS technology can be applied for future ton-scale experiments, reaching sensitivities to the effective Majorana mass down to 10 meV.
Research on adaptive ship type for new channel of Three Gorges Project
Authors: Lei Jiang , Ji Yongbo , Chen Shunhuai 
Published: October 2020

Abstract
Under the background that ships waiting for locks is becoming normal and increasingly intensified, the need to build a new channel of Three Gorges to enhance the navigability of the golden waterway of the Yangtze River is very urgent. The construction of new channel ship locks will inevitably involve the coordination of the new channel representative ship types and existing ships and ship locks and joint scheduling. This article studies the rules of necessary freight rate (RFR), energy efficiency design index (EEDI), transportation efficiency with the length and the width of the ship based on the limitation of channel and lock on the main dimensions of ships. The main dimension series of representative ship types suitable for the new passage of the Three Gorges Project are put forward.
Highway traffic state prediction method considering risky driving behavior
Authors: Zhiqiang Hao , Shuyun Niu , Tao Li Jiang , Fei Su 
Published: October 2020

Abstract
In recent years, with the continuous development of the national economy, the state and people have a higher demand for the service level of the highway, which also requires highway managers to have a more accurate prediction of the running state of the highway. So this paper proposes an Elman neural network highway state prediction method considering the risky driving behavior. In this method, expert scoring method and analytic hierarchy process are used to calculate the weight of highway risk driving behavior, and then Elman neural network is used to establish the highway state recognition model based on the weight and traffic flow data. Finally, the data of expressways within 4 days is used as the sample training model, and the data of the fifth day is used as the test sample for testing. The results show that the model has a high accuracy for predicting the future traffic status, and it can also provide reference and support for the active traffic early warning and management.
Analysis of the forces in the construction of large-span steel box girder by incremental construction
Authors: Zhuoqun Chen , Ming Li , Zongrun Rao , Jiaqi Bi 
Published: October 2020

Abstract
Taking a large-span steel curved bridge in Yunnan Province as the research object, this paper focuses on the multi-point jacking construction technology and construction control points, which provides the basis for the limited jacking construction planning and reasonable arrangement of working procedures in Yunnan Province. Taking the successful application of a large-span steel box girder on the pusher as an example, the numerical simulation of the steel pushing process is carried out by using the finite element software 3D3S, and the data analysis of the structure is summarized in this paper, which provides reference for solving similar engineering problems in the future.
An activity-based bottleneck model with stochastic capacity
Authors: Chengjie Gong 
Published: October 2020

Abstract
This study investigated commuters’ departure time choice with stochastic capacity. It has typically been solved by using Vickrey’s bottleneck model which doesn’t take the impact of commuters’ activity on decision-making into account. We added activity utility parameters to Vickrey’s bottleneck model. Travel costs became negative utility. The model considered home-activity utility before work and work-activity utility in the morning rush. Simultaneously, the capacity of the bottleneck changed randomly between a designed value (good condition) and a degraded one(bad condition). We derived six reasonable equilibrium patterns by maximizing the commuters’ activity utility and closed form solutions to all possible equilibrium patterns. The departure rate curve for each equilibrium pattern was made within a reasonable parameter range.
Research on Applicability of Anti-rutting Agent LY to Different Asphalt Mixtures
Authors: Yiluo Zhang , Ning Li 
Published: October 2020

Abstract
In order to study the applicability of anti-rutting agent LY to different asphalt mixtures, six asphalt mixtures, including AC-16, AC-16+0.4% anti-rutting agent, SBS modified asphalt AC-16, SBS modified asphalt AC-16+0.4% anti-rutting agent, SMA-16, SMA-16+0.4% anti-rutting agen, were tested for high temperature performance, low temperature performance and water stability performance. The test results show that the anti-rutting agent LY can improve the high temperature performance, low temperature performance and water stability of AC-16 and SMA-16 asphalt mixtures, and the effect is best when used with AC-16 asphalt mixtures. Compared with SBS modified asphalt mixture, although anti-rutting agent LY can improve its high-temperature performance, it has a negative impact on its low-temperature performance and water stability, so it is not recommended to use anti-rutting agent LY together with SBS modified asphalt mixture.
Study on Gradation and Performance of Cold Patch Asphalt Mixtures
Authors: Qiang Li , Feiyi Liu , Xiao Luo , Fan Shen 
Published: October 2020

Abstract
In this paper, SMA-13 and LB-13 gradations are designed in order to study the influence of cold patch asphalt mixture gradation and the component changes of cold patch asphalt liquid on the performance of cold patch asphalt mixture. By measuring the volume parameters and Marshall stability of the two asphalt mixtures, the gradations are compared and analyzed. By measuring the Marshall stability and residual stability of LB-13 cold patch asphalt mixture with different anti stripping agent content, asphalt to diesel ratio and cold patch agent content, the influence of the component changes of cold patch asphalt liquid on the Marshall performance and water stability of the mixture was studied. It is found that the Marshall stability of LB-13 asphalt mixtures is slightly lower than that of SMA-13 asphalt mixtures, and the void ratio is 13.4%, which is conducive to diesel volatilization. Compared with SMA-13 gradation, LB-13 asphalt mixture is more suitable as the reference gradation of cold patch asphalt mixture. When the content of anti stripping agent is 0.30 % ∼ 0.40 %, the Marshall stability of cold patch asphalt mixture increases gradually with the increase of anti stripping agent content, while the immersion residual stability increases first and then decreases with the increase of anti stripping agent content, and the immersion residual stability reaches the highest value (89.2 %) when the content of anti stripping agent is 0.35 %. When the ratio of asphalt to diesel is 74:24 ∼ 82:16, the residual stability of cold patch asphalt mixture increases with the increase of the ratio of asphalt to diesel, and when the ratio of asphalt to diesel is more than 80:14, the Marshall stability of cold patch asphalt mixture increases significantly, which is higher than 7 kN. The Marshall stability of cold patch asphalt mixture decreases with the increase of cold patch agent when the content of cold patch agent is 1.7 % ∼ 2.3 %; the immersion residual stability decreases first and then increases with the increase of cold patch agent, and reaches the highest when the content of cold patch agent is 1.7 %, which is 89.6 %. Considering the Marshall performance and water stability of cold patch asphalt mixture, when the ratio of asphalt to diesel oil is 78:20, the content of cold patch agent is 1.7 %, and the content of anti stripping agent is 0.35 %, the performance of cold patch asphalt mixture is the best.
Research on Scheduling Model and Algorithm of Drop-and-hook Transport Vehicles Based on Land-Sea Combined Transport
Authors: Xinyu Dou , Yang Li , Luhua Zhao , Baoyuan Wang 
Published: October 2020

Abstract
Background China’s squatting transportation mode has been continuously developed. A single road hoisting transportation can no longer meet the market demand, and a variety of ways to coexist in the transportation mode is constantly emerging. Objective To study how the stern transport vehicles can complete the dispatching task more efficiently under the conditions of land and sea transportation. Methods analyzes the advantages of the sling transport operation under the condition of land and sea transportation, and establishes the scheduling model of the stern transport vehicle based on land and sea transportation. This paper designs a heuristic algorithm to solve the initial solution of the model. Based on this, combined with the application of simulated annealing The algorithm performs the objective function minimization solution. Results The vehicle scheduling model was verified by practical examples, which proved the practicability of the model and algorithm.
RETRACTED: Analysis and applicability of road temperature stress behavior in cold area under large temperature difference
Authors: Zhang Yiluo , Deng Zhan Wei , Guo Chuang 
Published: October 2020

Abstract
In order to understand variation of temperature stress in pavement interior in exterme or great cooling climate, the temperature stress behavior and structural applicability of three different base types in cold region were studied. With the help of Abaqus software, the temperature stress of the pavement under the environment of large temperature difference of 20°C, 30°C and 40°C daily is obtained, and the mechanical response of different base courses under the coupling effect of temperature and dynamic load is analyzed. The results show that composite base pavement has the best applicability in the cold region with large temperature difference. When the daily temperature difference increases by 10°C in winter, the variation range of road surface, asphalt base and cement stabilized macadamite top is about 30%∼35%, 15%∼28% and 41%∼50%, respectively. When the daily temperature difference increases by 10°C in summer, the stre-ss increases by 102%∼121%, 77%∼80% and 18%∼21%, respect-vely. The stress increase of composite base pavement is the least. Moreover, it still has advantages under the coupling effect of temperature and dynamic load. To be specific, all the mechanical indexes are small under the coupling effect of low temperature a-nd dynamic load. The shear stress of asphalt layer is better und-er the action of high temperature and dynamic load.
Optimal Terminal Iterative Learning Control for the Parking Control System of Maglev Train
Authors: Zhang Pengju 
Published: October 2020

Abstract
This paper analyzes the parking process of maglev trains, establishes the corresponding mathematical model, based on the method of terminal iterative learning control(TILC), uses the stopping position error in the previous braking process to update the current control curve. In this paper, we select the initial braking position, initial speed or braking force or a combination thereof as the control input, and formulate the corresponding learning law. Finally, a line is simulated, and the traditional TILC method and the optimal TILC method are compared through simulation experiments, which verify that the latter has a faster convergence speed.
Driving Strategy of Heavy Haul Train Based on Support Vector Regression
Authors: Yang Shuo , Lin Zhengnan , Yang Xiaofeng 
Published: October 2020

Abstract
In order to reduce the labor intensity of heavy-haul train drivers in the downgrade section and near the split phase area, the paper analyzes the factors that affect the driving strategy of heavy-haul train in accordance with the manual driving strategy. In this paper, a control model of heavy-haul train electric braking force based on support vector regression (SVR) is proposed to control the electric braking force. With the manual driving records used as training data, Electric braking force and other information are extracted as output results and features to train the control model. By trial and error, parameters of the control model are adjusted to optimize the model. The results show that the control model in this paper is close to the manual driving in the same situation, which is positive for reducing the labor intensity of drivers in heavy-haul railway.
A Conflict-free Trajectory Generation Method for Pre-tactical Phase in Trajectory Based Operation
Authors: Yang Zhang , Pei Chu , Yungang Tian , Longbiao Ma 
Published: October 2020

Abstract
Trajectory Based Operation (TBO) is the future vision of air traffic management, and provides efficiency, capacity and safety benefits by managing aircraft trajectories cooperatively. According to air traffic operational characteristic of responsibility airspace division, this paper presents a conflict-free trajectory generation for pre-tactical phase in TBO environment. Considering the traffic flow distribution and flight conflict, a detailed conflict-free trajectory planning algorithm based on waypoint trajectory constraint is developed. Some simulation results based on typical operational data are carried out to show the feasibility of proposed method. This work is of great significance to the development of trajectory management and decision tools to support TBO.
Modeling of Energy Consumption Influencing Factors of Urban Rail Transit Station based on System Dynamics
Authors: Zhang Chenchen , Wang Yanhui , Xiao Xuemei , Luo Zhiwei 
Published: October 2020

Abstract
The energy consumption of urban rail transit station is an important part of the total energy consumption. In this paper, we focus on the energy consumption of urban rail transit stations. After analyzing the influencing factors and their relationship of station energy consumption from the aspects of electromechanical equipment and operation level, we establish the causal loop diagram of the influencing factors of station energy consumption based on system dynamics, and construct the system dynamics model of station energy consumption. Through simulation calculation, the effects of various influencing factors on the total energy consumption of the station are obtained. Moreover the key factors affecting station energy consumption are found. At last, the concrete measures to improve the energy consumption and energy saving efficiency of the station are presented, which provides theoretical support for the optimization of energy saving of the urban rail transit system.
Analysis of the Causes and Countermeasures of Low Passenger Flow Effect of Tram Lines in China
Authors: Xu Zhengliang , He Liying 
Published: October 2020

Abstract
The development of modern tram in China is very rapid while the passenger flow effects of many existing tram lines are not as good as expected. In order to find out the main causes and countermeasures, this paper compares the passenger flow effects of 49 tram lines at home and abroad by indicator named passenger flow intensity. Then the impacts of land exploitative intensity of nearby regions, average distance between stations and traffic conditions of the same corridor on passenger flow effect are analyzed based on specific cases. Suggestions of strengthening land exploitative intensity of regions along the tram line, shortening the average distance between stations, avoiding setting tram line on the corridor where road traffic is not heavy or there are multiple parallel rail transit lines are finally made to improve pass enger flow effect of tram line.
Safety Audit of Construction Drawing Design of the NR3 Highway Reconstruction & Expansion Project and Traffic Safety Developing Suggestion in Cambodia
Authors: Gong Baiyan , Di Shengde , Hao Siyuan , Chen Lei , Zhou Zhiwei 
Published: October 2020

Abstract
The highway safety audit is a means to improve the safety level and service ability of highway. Based on the safety audit of Cambodian highway in the construction drawing design and the investigation on the local road network conditions, the countermeasures for improving the road traffic safety and the suggestions for the future development of road traffic safety are put forward.
In situ functionalization of graphene
Authors: Greben Kyrylo , Kovalchuk Sviatoslav , Valencia Ana M , Kirchhof Jan N , Heeg Sebastian , Rietsch Philipp , Reich Stephanie , Cocchi Caterina , Eigler Siegfried , Bolotin Kirill I 
Published: October 2020

Abstract
While the basal plane of graphene is inert, defects in it are centers of chemical activity. An attractive application of such defects is towards controlled functionalization of graphene with foreign molecules. However, the interaction of the defects with reactive environment, such as ambient, decreases the efficiency of functionalization and makes it poorly controlled.
Here, we report a novel approach to generate, monitor with time resolution, and functionalize the defects in situ without ever exposing them to the ambient. The defects are generated by an energetic argon plasma and their properties are monitored using in situ Raman spectroscopy. We find that these defects are functional, very reactive, and strongly change their density from ≈1 × 1013 cm−2 to ≈5 × 1011 cm−2 upon exposure to air. We perform the proof of principle in situ functionalization by generating defects using the argon plasma and functionalizing them in situ using ammonia functional. The functionalization induces the n-doping with a carrier density up to 5 × 1012 cm−2 in graphene and remains stable in ambient conditions.
Maximum likelihood reconstruction of ancestral networks by integer linear programming
Authors: Rajan Vaibhav , Zhang Ziqi , Kingsford Carl , Zhang Xiuwei 
Published: October 2020

Abstract

Motivation
The study of the evolutionary history of biological networks enables deep functional understanding of various bio-molecular processes. Network growth models, such as the Duplication–Mutation with Complementarity (DMC) model, provide a principled approach to characterizing the evolution of protein–protein interactions (PPIs) based on duplication and divergence. Current methods for model-based ancestral network reconstruction primarily use greedy heuristics and yield sub-optimal solutions.

Results
We present a new Integer Linear Programming (ILP) solution for maximum likelihood reconstruction of ancestral PPI networks using the DMC model. We prove the correctness of our solution that is designed to find the optimal solution. It can also use efficient heuristics from general-purpose ILP solvers to obtain multiple optimal and near-optimal solutions that may be useful in many applications. Experiments on synthetic data show that our ILP obtains solutions with higher likelihood than those from previous methods, and is robust to noise and model mismatch. We evaluate our algorithm on two real PPI networks, with proteins from the families of bZIP transcription factors and the Commander complex. On both the networks, solutions from our ILP have higher likelihood and are in better agreement with independent biological evidence from other studies.

Availability and implementation
A Python implementation is available at https://bitbucket.org/cdal/network-reconstruction.

Supplementary information
Supplementary data are available at Bioinformatics online.
Hypoxia-inducible factor (HIF1alpha) inhibition modulates cumulus cell function and affects bovine oocyte maturation in vitro†
Authors: Turhan Aslihan , Pereira Miguel Tavares , Schuler Gerhard , Bleul Ulrich , Kowalewski Mariusz P 
Published: October 2020

AbstractVarious metabolic and hormonal factors expressed in cumulus cells are positively correlated with the in vitro maturation (IVM) of oocytes. However, the role of hypoxia sensing both during maturation of cumulus–oocyte complexes (COCs) as well as during the resumption of meiosis remains uncertain. HIF1alpha plays major roles in cellular responses to hypoxia, and here we investigated its role during bovine COC maturation by assessing the expression of related genes in cumulus cells. COCs were divided into the following groups: immature (control), in vitro matured (IVM/control), or matured in the presence of a blocker of HIF1alpha activity (echinomycin, IVM/E). We found an inhibition of cumulus cell expansion in IVM/E, compared with the IVM/control. Transcript levels of several factors (n = 13) were assessed in cumulus cells. Decreased expression of HAS2, TNFAIP6, TMSB4, TMSB10, GATM, GLUT1, CX43, COX2, PTGES, and STAR was found in IVM/E (P &lt; 0.05). Additionally, decreased protein levels were detected for STAR, HAS2, and PCNA (P &lt; 0.05), while activated-Caspase 3 remained unaffected in IVM/E. Progesterone output decreased in IVM/E. The application of PX-478, another blocker of HIF1alpha expression, yielded identical results. Negative effects of HIF1alpha suppression were further observed in the significantly decreased oocyte maturation and blastocyst rates from COCs matured with echinomycin (P &lt; 0.05) or PX-478 (P &lt; 0.05). These results support the importance of HIF1alpha for COC maturation and subsequent embryo development. HIF1alpha is a multidirectional factor controlling intercellular communication within COCs, steroidogenic activity, and oocyte development rates, and exerting effects on blastocyst rates.
Untangling the association of amyloid-β and tau with synaptic and axonal loss in Alzheimer’s disease
Authors: Pereira Joana B , Janelidze Shorena , Ossenkoppele Rik , Kvartsberg Hlin , Brinkmalm Ann , Mattsson-Carlgren Niklas , Stomrud Erik , Smith Ruben , Zetterberg Henrik , Blennow Kaj , Hansson Oskar 
Published: October 2020

Abstract
It is currently unclear how amyloid-β and tau deposition are linked to changes in synaptic function and axonal structure over the course of Alzheimer’s disease. Here, we assessed these relationships by measuring presynaptic (synaptosomal-associated protein 25, SNAP25; growth-associated protein 43, GAP43), postsynaptic (neurogranin, NRGN) and axonal (neurofilament light chain) markers in the CSF of individuals with varying levels of amyloid-β and tau pathology based on 18F-flutemetamol PET and 18F-flortaucipir PET. In addition, we explored the relationships between synaptic and axonal markers with cognition as well as functional and anatomical brain connectivity markers derived from resting-state functional MRI and diffusion tensor imaging. We found that the presynaptic and postsynaptic markers SNAP25, GAP43 and NRGN are elevated in early Alzheimer’s disease i.e. in amyloid-β-positive individuals without evidence of tau pathology. These markers were associated with greater amyloid-β pathology, worse memory and functional changes in the default mode network. In contrast, neurofilament light chain was abnormal in later disease stages, i.e. in individuals with both amyloid-β and tau pathology, and correlated with more tau and worse global cognition. Altogether, these findings support the hypothesis that amyloid-β and tau might have differential downstream effects on synaptic and axonal function in a stage-dependent manner, with amyloid-related synaptic changes occurring first, followed by tau-related axonal degeneration.