bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling and Scheduling for Tier-to-Tier Multi-Shuttle Warehousing System
Authors: Zhu Chengtao , Wu Yaohua , Chen GuoZhen , Wu ShaSha 
Published: April 2021

Abstract
Tier-to-tier Multi-Shuttle Systems (TT-MSS) become increasingly adopted due to their high flexibility and efficiency. In the Tier-to-tier MSS, shuttles work across different tiers with the help of lifts. How to schedule these devices matters a lot in terms of lowering the expected order cycle time. In this paper, we propose a time sequence task scheduling model considering the movements of shuttles and lifts. The model describes the task scheduling problem between shuttles and lifts, which is generated in a specified time window. An improved genetic algorithm is proposed to solve the objective optimization function in the task scheduling problem. Finally, we illustrate the advantages of the Tier-to-tier MSS by conducting experiments, and the results indicate that with the increase of retrieval tasks, the efficiency of Tier-to-tier MSS is approaching that of TC-MSS with fewer shuttles used.
Research on Path Planning of Mobile Disinfection Robot Based on Improved A * Algorithm
Authors: Jiang Haojie , Sun Yuan , Wang Xinwei , zhang Peng 
Published: April 2021

Abstract
The traditional A* algorithm uses Euclidean distance as the heuristic function in the path planning of mobile disinfection robot. This method may lead to the generation of a certain number of useless nodes, which makes the search time longer. To solve this problem, this paper proposes an improved A* algorithm, starting from the heuristic function, adding additional value to the heuristic function, using the cosine value of the angle as the additional parameter. This method effectively reduces the comparison of useless points with the same F value, and significantly reduces the number of visited nodes. The simulation results show that the improved A* algorithm can significantly improve the path planning efficiency of mobile disinfection robot.
Self-Adaptive PID Control Based on RBF Network for Trajectory Tracking of Dual-Mass Servo System
Authors: Hu Weiwen , Zhang Shengguo , Niu Lu 
Published: April 2021

Abstract
This paper presents a state-of-the-art algorithm of self-adaptive RBF network PID control and aims at achieving the precise and fast trajectory tracking for a dual-mass servo system. To increase the robustness of servo system parameter varying and external disturbances, a classical PID algorithm with enhanced structure based on RBF neural network is proposed. Extensive simulations show that it practically validates the superiority of the proposed RBF adaptive PID controller. The experiment was simulated respectively under the external disturbance, which indicates that accurate tracking performance of the servo system with dual-mass load has been achieved and also verifies the effectiveness of self-adaptive PID control strategy.
Research on feature selection algorithm of unknown wireless protocol based on mutual information
Authors: Liu Zhiguo , Yao Qiaoyu , Guo Meilin , Zha Xueli 
Published: April 2021

Abstract
Aiming at the problem of unknown wireless protocol identification methods that focus on the application layer, but the wireless network application layer data is difficult to capture, and the existing method research stays at the signal level and the identification effect is poor, this paper proposes an identification method for feature selection of wireless protocol data from the data link layer. This paper extracts the protocol features of the data frame set by improving the AC algorithm and the association rule algorithm, using mutual information theory, and combining the definition of information correlation and redundancy with the normalization idea, further screening and verification of frame features are carried out to achieve effective extraction of protocol features, effectively improve the accuracy of feature sets, and thereby improve the efficiency and accuracy of protocol recognition.
Diagnosis system of sleep apnea based on wearable sensor
Authors: Xue Yazhuo , Shan Yunge , Ji Xiaoqiang 
Published: April 2021

Abstract
Sleep Apnea Syndrome (SAS) is a serious threat to the life and health of patients. In this paper, a breathing coil is used as a flexible sensor, and a breathing signal conditioning circuit is designed to collect breathing signals. At the same time, an algorithm for determining the incidence of apnea is designed. First, all the maximum points in the respiratory signal and the corresponding extreme positions are found; then the cubic spline interpolation function is used to fit the upper and lower values of the maximum and the minimum envelope, and find the average value of the upper and lower envelopes; finally, the peak or trough point by searching for the local minimum or local maximum in the average envelope was found, and then further segmented calculations was performed. The test results show that the misjudgment range between the number of sleep apneas recorded by the simulation experiment and the number of sleep apneas obtained by the algorithm is between -2 and 3 times. The designed system terminal equipment is accurate, comfortable to wear, can be monitored for a long time. And is suitable for family daily sleep monitoring.
Research on Realization of Python Professional English Translator
Authors: Yang Wenge , Zhao Xue 
Published: April 2021

Abstract
The main purpose of professional English translator is to translate more ambiguity and more professional words and sentences to meet the needs of the work. This article combines web crawler based on Python language, and analyzes Python programming and online crawler implementation. This article uses this as a basis to study how to design a professional English translator, and study the structure, business workflow, and functions of the translator. The test results prove that the designed program can effectively realize the crawler function, so that it can obtain a large amount of consistent data in a very short time, and return these related data to the user through the interface connection design. This can not only meet the needs of users for quick translation and search of English words and sentences, but also meet the needs of actual work.
The Rainfall and Meteorological Data Mining Model Based on Multi-Dimensional Precipitation Time Series
Authors: Ding Sizhe 
Published: April 2021

Abstract
In order to study the relationship between rainfall and related meteorological elements in rainy weather, find out the changes of related meteorological elements before and after rainfall, a multi-dimensional time series data mining model is proposed. The model first performs dimension selection pre-processing on the time series of meteorological elements to remove irrelevant and redundant dimensions, then uses the proposed extreme slope piecewise linear fitting method to segment the time series, data compression and eigenvalue extraction, and finally uses k-means clustering algorithm to symbolize the processed multi-dimensional sequence, and uses rules to extract the rainfall weather model. Experimental results show that the model has good practical value.
Research on the technology of preventing illegal terminal access
Authors: Shu ZhiMeng , Liu YongGuang , Wang HuiNan , Sun ChaoLiang , He ShanShan 
Published: April 2021

Abstract
As an important part of energy Internet construction, power consumption information acquisition system, as the “total entrance of power information data acquisition and the total exit of control instruction execution”, plays an increasingly important role in the safe and stable operation of the system. At present, the on-site access equipment is diversified, but there is a lack of unified active security defense early warning module, and there is no perfect security monitoring system. There are security risks such as illegal replacement of on-site terminals and private upgrade of terminals. In order to further improve the security and stability of smart grid operation, this paper makes an in-depth study on the existing security problems of the acquisition terminal and the online security monitoring of the acquisition terminal, and adopts the device fingerprint technology and password technology to meet the needs of the security protection of the acquisition terminal.
Improved ORB matching algorithm based on adaptive threshold
Authors: Li Shiji , Wang Qing , Li Jiayue 
Published: April 2021

Abstract
Aiming at the problem of ORB feature matching algorithm extracting background pixels as feature points and matching wrong feature points in a complex background environment, an improved ORB algorithm based on adaptive threshold is proposed, and GMS algorithm is used to screen out mismatches in the feature matching stage. First, the algorithm calculates the mean and standard deviation of the image to be matched and the reference image. Then it inputs the obtained data into the adaptive threshold calculation stage to obtain the adaptive threshold. Finally it inputs the adaptive threshold into the feature extraction and matching stage. The experimental results show that the improved ORB algorithm reduces the number of features extracted from the background of the exhibits in the complex environment of the museum, and the matching algorithm combined with the ORB algorithm and GMS increases the correct matching on the basis of slightly shorter time than the original algorithm. The algorithm has strong robustness and real-time performance.
Study on Molten Salt Corrosion Behavior of Several Stainless Steel Alloys
Authors: Men Dandan , Xiong Jian , Peng Wenyi , Bai Lingyun 
Published: April 2021

Abstract
Molten salt corrosion tests were performed on several stainless steels, which were 622,316, A59,625, 686,2#825,3#825 and M400. After corrosion at 680°C for 120 h, the sequence of alloys’ mass loss was 625<3#825<A59<622< 2#825<316<686<M400. SEM/EDS analysis was used to observe the surface and cross-section morphologies of the corroded samples. The alloys with high molten salt corrosion resistance formed Cr2O3 oxide layers on the surfaces of the samples, the formation of TiO2 could also enhance the corrosion resistance. However, Mn element was harmful to the alloys used in chlorine induced corrosion environment.
Research of release characteristics of ship attached fouling
Authors: Hu Xiaodong , Liu Xiaotong , Zong Dandan , Dong Shiyun 
Published: April 2021

Abstract
Marine fouling increases navigation resistance and restricts the performance of hulls. Based on the fluid-structure coupling theory, the release characteristics of fouling barnacles attached to the silicone coating were studied by a numerical analysis method according to the antifouling performance parameters, such as coating thickness and elastic modulus. The simulation results show that the influence of coating thickness and elastic modulus on barnacle release is far less than that of composite variable (E/T)0.5. For the hull coating with a small (E/T)0.5 value, the barnacle more easily peels off under small external forces. This provides a reference for the selection of silicone antifouling coatings for ships.
Finite element analysis of flexural performance of self-compacting recycled concrete beams with FRP slag
Authors: Liu Yi , Pei Changchun 
Published: April 2021

Abstract
In order to use glass powder steel slag recycled concrete in building structures, improve the recycling rate of industrial waste, and reduce environmental pollution, this paper replaces part of cement with glass powder and steel slag instead of some fine aggregates. The effect of glass powder steel slag is studied by ANSYS finite element simulation. Influence of self-compacting recycled concrete beams on flexural performance. The research result suggested: at the initial stage of cracking, the mid-span moment and mid-span deflection of C1, C2 and C3 groups of beams constructed with recycled concrete incorporating milled glass and steel slag were significantly improved compared with those of baseline group of beams and with increasing steel slag, their mid-span moment was not much changed but mid-span deflection was increased; at the yield stage, the mid-span moment and mid-span deflection of C1, C2 and C3 groups of beams constructed with recycled concrete incorporating milled glass and steel slag were significantly improved compared with those of baseline group of beams and were further increased with increasing steel slag. In this paper, the bending performance of the beam is best when 20% glass powder is used instead of cement and 80% steel slag is used instead of fine aggregate.
Experimental Study on Early Drying Shrinkage of Self-compacting Barite Concrete
Authors: Shi Jianjun , Li Qi , Zhang Zhiheng , Liu Hualiang , Yang Xiaofeng , Zhang Zhijun , Li Zhujing , Yan Wei 
Published: April 2021

Abstract
In this paper, raw materials such as fly ash-S95 grade mineral powder composite mineral admixture, barite coarse and fine aggregate and polycarboxylic acid water reducer are selected to successfully formulate C30 self-compacting barite concrete with good performance. It also analyzes the development law of early drying shrinkage of self-compacting barite concrete with age, and discusses the effects of fly ash and slag mixing ratio and water reducer content on concrete work, compressive strength and early drying shrinkage. The results show that: the drying shrinkage of self-compacting barite concrete develops rapidly within 1 day of age, and the drying shrinkage rate at 1 day accounts for 50% to 66% of that at 7 days of age, and then the growth trend is slow; as the proportion of fly ash increases, the performance of the concrete mixture improves. While the strength of concrete decreases in the early and mid-term, the strength gradually increases in the later period, and the shrinkage strain of concrete in the early stage also increases significantly; the proper amount of water-reducing agent can greatly improve the fluidity of the mixture. In the dosage range of 1.2%~1.4%, with the increase of the amount of water reducing agent, the compressive strength first increases and then decreases, reaching the maximum when the dosage is 1.3%, and the early drying shrinkage strain of concrete increases slightly.
A Special Thermal Fatigue Failure Mode of Pipe in Nuclear Power Plant and Its Countermeasures
Authors: Yin Qin , Feng Huixing , Xue Donglin , Shu Guo 
Published: April 2021

Abstract
Thermal fatigue phenomenon is well known and feedbacked in the nuclear power industry. Targeted screening principles has been developed and applied. However, a thermal fatigue failure, “Swirl Penetration” of small-diameter pipeline, was identified through a Reactor Coolant System (RCS) leakage in a nuclear power plant. Unexpectedly, this failure is not within the scope of previous screening principles of thermal fatigue. It is characterized in that the high-temperature main piping is connected downward with a certain length of vertical small-diameter piping, and then the vertical piping turns horizontally through an elbow. The reactor coolant in the lower pipeline does not flow under normal operation conditions. Subject to long-term cyclic thermal fatigue, cracks initiate and propagate in the elbow. Through researches, corrective measures are put forward to prevent, mitigate or discover it.
Focusing neutron guide design for Engineering Materials Diffractometer at CSNS
Authors: Zhan X. , Gao J. , Ma Y. , Gong Z. , Wang C. , Zhang P. , Yang H. , Hu C. , Zhou L. , Zhang S. 
Published: April 2021

Abstract
Engineering Materials Diffractometer (EMD) is included in
Project Phase Two of the China Spallation Neutron Source (CSNS),
which focuses on strain scanning, thermomechanical investigation and
phase transformation analysis under different sample environments,
as well as other novel industrial research for engineering
materials. After a comprehensive analysis and optimization, the
total length of EMD is designed to be 51.5 m where the primary and
secondary flight path are 49.5 m and 2 m, respectively. The
neutron optical components mainly consist of insert guides, curved
guides, bandwidth choppers, straight guides (including both straight
and focusing sections), slits, collimators, detectors, etc. Particularly, an individual 9 m logarithmic spiral focusing guide
to optimize instrument performance was confirmed by Monte Carlo
simulation with the McStas package. Under the target power of
100 kW, for high resolution mode, the resolution Δ d/d is
about 0.25% for 2θ=90∘ and the neutron flux is
4.5× 106 n/cm2/s at the sample position; for high
intensity mode, the neutron flux is 1.4× 107 n/cm2/s
and the resolution is about 0.50%. The high instrument flexibility
could allow and extend a broad of applications in materials science
and engineering fields in the future. This paper will discuss the
details of EMD instrument optical system design especially the
focusing guide and combinations of slits.
Synergistic optimization of renewable energy installations through evolution strategy
Authors: Dujardin Jérôme , Kahl Annelen , Lehning Michael 
Published: April 2021

Abstract
With large parts of the world moving toward renewable energies, there is an urgent need to organize this large-scale transition effectively. This paper presents a new methodology to guide the planning and siting of renewable electricity generation for countries or larger geographical regions. Its flexible approach accounts for the specific boundary conditions, constraints and available resources of the region of interest and enables solutions that optimize the interplay between the various types of generation. Evolution strategy permits a simultaneous optimization of the placement and the share of renewable electricity generation technologies that are to be added to a system, while most efficiently combining the new with the existing electricity generation and respecting the constraints of the electrical grid. Using Switzerland as case study, we demonstrate the method’s ability to devise national installation scenarios that are efficient, realistic with respect to land use and grid infrastructure and reduce significantly the need for seasonal storage. We show how the spatio-temporal variability of weather-driven electricity generation can be exploited to benefit the electrical system as a whole.
Identifying increasing risks of hazards for northern land-users caused by permafrost thaw: integrating scientific and community-based research approaches
Authors: Gibson Carolyn M , Brinkman Todd , Cold Helen , Brown Dana , Turetsky Merritt 
Published: April 2021

Abstract
Understanding the causes and consequences of environmental change is one of the key challenges facing researchers today as both types of information are required for decision making and adaptation planning. This need is particularly poignant in high latitude regions where permafrost thaw is causing widespread changes to local environments and the land-users who must adapt to changing conditions to sustain their livelihoods. The inextricable link between humans and their environments is recognized through socio-ecological systems research, yet many of these approaches employ top-down solutions that can lead to local irrelevance and create tensions amongst groups. We present and employ a framework for the use both of scientific and community-based knowledge sources that provides an enriched and thematic understanding of how permafrost thaw will affect northern land-users. Using geospatial modeling of permafrost vulnerability with community-based data from nine rural communities in Alaska, we show that permafrost thaw is a major driver of hazards for land-users and accounts for one-third to half of the hazards reported by community participants. This study develops an integrated permafrost-land-user system, providing a framework for thematic inquiry for future studies that will add value to large-scale institutional efforts and locally relevant observations of environmental change.
Agro-morphological and metabolomics analysis of low nitrogen stress response in Axonopus compressus
Authors: He Li , Teng Li , Tang Xiaomin , Long Wanwan , Wang Zhiyong , Wu Yang , Liao Li 
Published: April 2021

Abstract
Axonopus compressus also known as carpet grass is a robust, stoloniferous grass that can grow in minimal fertilization and resists well to abiotic and biotic stresses including low nitrogen (LN) stress. This study aimed at characterizing the agro-morphological and metabolome responses to LN in carpet grass leaves. Under LN stress, carpet grass increased yellowness of leaves and root dry matter while reduced turf quality and shoot dry weight. The metabolome comparison between samples from optimum and LN conditions indicated 304 differentially accumulated metabolites (DAMs), which could be classified into 12 major and 31 subclasses. The results revealed that the leaf tissues accumulated more anthocyanins and other flavonoid metabolites under LN stress. Conversely, amino acids, nucleic acids and their derivatives were reduced in response to LN stress. The overall evaluation of individual metabolites and pathways, and previous studies on metabolomes indicated that carpet grass reduced its energy consumption in leaves and increased the level of organic acid metabolism and secondary metabolism in order to resist LN stress conditions.
O78: SARCOPENIA IN LOCALLY ADVANCED BREAST CANCER: PREVALENCE, AND IMPACT ON CLINICAL AND ONCOLOGIC OUTCOMES
Authors: Collins PM , Elliott JA , Brennan MJ , McNamara M , O'Malley E , Barry K , Sweeney K , Malone C , Lowery A , McLaughlin R , Kerin MJ 
Published: April 2021

Abstract

Introduction
Sarcopenia in cancer may confer negative outcomes, but its prevalence and impact in the modern multimodal management of locally advanced breast cancer have not been systematically studied.

Method
Patients undergoing neoadjuvant therapy and surgery for locally advanced breast cancer between 2010 and 2015 were studied. Skeletal muscle index (SMI) and lean body mass (LBM) were determined. Sarcopenia was defined by computed tomography (CT) at L3 as SMI&lt;38.5cm2/m2. Multivariable linear, logistic, and Cox regression analysis was undertaken to determine the independent impact of sarcopenia on clinical and oncologic outcome.

Result
258 patients were studied. Sarcopenia was present in 23.0%, 7.8% and 0.0% of patients with normal weight, overweight and obesity, respectively (P=0.001). Sarcopenia was not associated with baseline cT and cN stage, tumour grade, histologic type or receptor status. Patients with sarcopenia exhibited equivalent indices of neoadjuvant therapy response including ypT and ypN stage, pathologic complete response and Sataloff grade following surgical resection. Postoperatively, sarcopenia was not independently associated with comprehensive complications index (P=0.242), length of stay (P=0.716) or overall morbidity (P=0.365). However, on multivariable analysis, lower LBM independently predicted reduced invasive disease-free (P=0.049,HR0.93[95%CI0.87-1.00]) and overall (P=0.028,HR0.92[0.85-0.99]), but not disease-specific survival (P=0.070).

Conclusion
Consistent with a lack of association with baseline and post-treatment pathologic features, sarcopenia in locally advanced breast cancer is associated with reduced overall, but not disease-specific, survival. These data indicate that the prognostic impact of sarcopenia may be mediated by impaired performance status and increased non-cancer mortality.

Take-home message
Consistent with a lack of association with baseline and post-treatment pathologic features, sarcopenia in locally advanced breast cancer is associated with reduced overall, but not disease-specific, survival. These data indicate that the prognostic impact of sarcopenia may be mediated by impaired performance status and increased non-cancer mortality.