bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Service Mode of Smart Library based on “Field” Synergy Theory
Authors: Lei Shuiwang 
Published: August 2021

Abstract
This article through the integration of field synergy theory and the theory of cohesion between wisdom library service point, through the field of the connection between the three layers of meaning and wisdom library, in order to prove the feasibility of wisdom library application field synergy theory, through the design wisdom library within the field of collaborative service function between the field and puts forward the service mode.
The Impact of Higher Education to Manufacturing-Based on Threshold Model
Authors: Bao Yaodong , Li Yanshu , Chen Junshen 
Published: August 2021

Abstract
This paper examines the impact of higher education on China’s manufacturing industry performance from the national and regional levels on fixed effects model. The research shows that the development of higher education has significantly promoted the improvement of China’s manufacturing industry performance. If the development of higher education increases by 1%, the performance of manufacturing industry will increase by 0.239%. Through the internal mechanism test, it is found that higher education can improve the performance of manufacturing industry by increasing the R&D projects, new product projects and enterprise invention patents. Further research shows that there is a double threshold nonlinear relationship between higher education and manufacturing industry performance with per capita GDP and government financial science and technology expenditure as threshold variables based on threshold model.
Public Space Humanized Transformation of Community Based on Depthmap
Authors: Hu Jiaqi , Zhuang Jinhong , Li Zhengyang , He Luke 
Published: August 2021

Abstract
With the rapid development of urban modernization in China, residents are paying more and more attention to the quality of outdoor public space. Aiming at insufficient aspects of modern community public space design, this paper investigates mingshihuafu community in Hengyang City by means of questionnaire and field interview and summarizes the relevant factors that affect human activities. From the perspective of spatial fabric, this paper will use the space syntax software Depthmap to analysis the humanization demand of the community public space quantitatively and put forward the humanized transformation design strategy of modern community public space, hopping to enhance the vitality of modern community, improve the living environment, and provide reference of the transformation design for the existing community public space in China.
Innovation and Realization of Rural Express Operation Mode-Based On the Perspective of Resource Sharing
Authors: Cheng Lin , Zong Feng , Xu Hui-Ming 
Published: August 2021

Abstract
with the gradual promotion of Rural Revitalization Strategy in China, the rural economy has developed rapidly, and the rural express business has increased sharply. Facing the strong development potential of the rural express market, the existing rural express operation mode has gradually failed to cope with the booming rural express market, and the operation mode of rural express needs to be improved. At the same time, the rapid development of information technology makes the concept of sharing economy into people’s life, and the mode of sharing economy is introduced to solve social problems.
Based on the perspective of resource sharing, this paper analyzes the current situation and existing problems of the operation mode of rural express, and puts forward a new distribution mode—Resource Sharing Distribution Mode, based on information data sharing, facilities and equipment sharing, human resource sharing and other resource sharing. In order to realize the smooth operation of the innovation mode, this paper discusses the feasibility of the innovation mode from three aspects: the establishment of sharing mechanism, the construction of information platform and the design of business process. Finally, we put forward two safeguard measures of benefit distribution and incentive mechanism, and puts forward opinions for the operation of rural express.
A New Initialization Method for K-means Algorithm Based on Clustering Coefficient
Authors: Jiang Zhonghua 
Published: August 2021

Abstract
The traditional k-means algorithm has been widely used as a simple and efficient clustering method. However, the algorithm uses a random initialization method that does not guarantee unique clustering results. In this paper, a novel method for selecting initial cluster centers on the basis of a complex network is proposed. The data set to be clustered is represented as a complex network. The clustering coefficients of a vertex and those of its adjacent vertices are used to introduce the novel concepts of “valley point” and “peak point,” which can be used to construct a set of candidates of the initial cluster centers. Finally, an algorithm for selecting the initial cluster centers from the constructed set of candidates is proposed. The time complexity of the proposed algorithm is O(n
2), where n is the number of data points. The proposed algorithm is applied to four data sets with different dimensions to compute the initial cluster centers for the k-means algorithm. Compared with the random initialization and maximin methods, the proposed algorithm demonstrates superior clustering performance in obtaining the initial cluster centers for the k-means algorithm.
Research on Surface Integrity Manufacturing of Bearing Ring Raceway Based on Plasma Polishing Principle
Authors: Yu Jikun 
Published: August 2021

Abstract
Plasma polishing technology is a new ultra smooth surface processing method with low cost, no pollution and no waste. It has been widely used in semiconductor industry and optical component manufacturing, but the research on the processing and manufacturing of key mechanical parts is still in the exploratory stage. In this paper, by using RC-ECMA150KVA plasma polishing equipment, plasma polishing technology is used to solve the surface integrity manufacturing problem of large-size rolling bearing ring raceway, which not only improves the processing quality of ring surface, but also realizes the function of surface corrosion and surface modification, and greatly improves the high service performance of rolling bearing.
Framework of the Teaching Process Based on Machine Learning and Innovation Ability Cultivation in Big Data Background
Authors: Dong Aimei , Gao Qian 
Published: August 2021

Abstract
Human beings have experienced agricultural, industrial and information society, followed by the era of artificial intelligence. The remarkable features of the era are big data and machine learning. It is an important task to cultivate high-tech innovative talents for colleges and universities in era of artificial intelligence background. So how to combine machine learning methods with training of innovation ability in the teaching process to improve the quality of talent training is a key problem in college teaching. To this end, a new teaching process framework based on machine learning and innovation ability cultivation is proposed, which lays a solid foundation for improving teaching quality.
Implementation of Marine Fire Fighting VR Platform Based on Probuilder Modular
Authors: Chen Yongli 
Published: August 2021

Abstract
In this paper, the multi person cooperative ship fire training system based on VR technology provides an effective training method for ship fire safety training. Through the existing ship fire protection process, the simulation scheme is proposed, and the corresponding process is developed on the basis of the simulation scheme. According to the functional requirements of ship fire simulation module, using VR technology, the 3D model is established with the help of the rapid modeling kit of Probuilder, the typical training scene is built after importing unity3d, the script is written with C # language, and the online VR fire training system is realized with the help of network communication framework, so that the trainees can carry out cooperative fire drill in VR interactive way, and realize the actual ship firefighting simulation training of anti-jamming process. The development of multi person cooperative ship fire training system will be of great significance to improve the efficiency of ship fire training, reduce the cost of ship fire drill and ensure the personal safety of trainees.
Design of Planetary Gear Train for Geared Rotary Actuator
Authors: Kude Yadnik , Gajjal Priya , Kumar Singh Anuj 
Published: August 2021

Abstract
Geared Rotary Actuators are mechanically operable devices widely used in the aerospace industry so that controlled motion can be provided to secondary flight control surfaces. Their usage can be seen in a variety of applications including powered hinges for aircraft structural movements, they support aerodynamic loads in addition to the surface hinge moment, as an actuator in a linked mechanism where they supply actuation torque. Mostly GRAs are situated along with the bay door drives, and also can be used for controlling leading or trailing edge movements of the aircraft. They receive Power Drive Unit (PDU) torque via assembly of shafts and joints. From a mechanical standpoint, the GRAs can be termed as epicyclical gear reducer or compound planetary gearbox. In this work, the governing criteria and mathematical equations used to characterize GRA are discussed. SOLIDWORKS is used for part modeling of GRA. More focus will be on the speed reduction ratio calculation, determination of strength, and overall Factor of Safety (FOS) of the torque transmission unit. Thus an attempt is made to obtain the best performance parameters to meet the desired requirements of Geared Rotary Actuator.
Energy Absorption of Glass Fiber Reinforced Plastic (GFRP)-Woven Composites in Different Nano Clay Loading Using Numerical Method
Authors: Zena Yared G. , Woldemariam Mulugeta H. 
Published: August 2021

Abstract
In this work, the numerical investigation for impact behavior of GFRP (Glass Fiber Reinforced Plastics) composite along modified with nano-clay (Cloisite® 20B) at 0.5%wt., 1%wt., and 2%wt concentrations was done. The finite element analysis was carried out in ABAQUS/Explicit to investigate the low-velocity impact response. The numerical results showed that adding 0.5% wt. and 1%wt. nano-clay significantly increased the stiffness of GFRP compared to a pristine one. In contrast, adding 2%wt nano-clay decreased the stiffness of GFRP. With regard of energy absorption, a 0.5%wt. nano-clay modified GFRP showed a maximum energy absorption, whereas, a 2 %wt. nano-clay modified GFRP exhibited the lowest performance for all impact energy levels.
Improving Accuracy of Classification of Emotions Using EEG Signal and Adaptive PSO
Authors: Ghutke Payal , Joshi Sonali , Timande Ruchita 
Published: August 2021

Abstract
For detecting the feelings or emotions of the human being by using brain signals and its classification has been attempt by many researchers. The EEG headset is used for collecting the brain signal of the subject. Because of lots of noise in the input signal taken by EEG headset, various features need to be used as a single feature that cannot give accurate output. The Number of feature used is the key for identifying the emotion of a person automatically. So, we identify various features using an AI based scheme from EEG recorded signals. This various features are saved in the database. Features include mean, maximum, minimum, std. deviation, variance, corr. Coefficient, cov. Coefficient, Median, Kurtosis, Energy, Zero crossing rate. By using Maximum Relevance Minimum Redundancy (MRMR), as per the name we arrange the features to minimum-relevance and maximum-importance of every feature. For removing essential segments PCA is used to diminish the produce feature. The proposed system will outperform and improve the accuracy of emotion detection by using brain wave and Adaptive PSO.
metID: an R package for automatable compound annotation for LC−MS-based data
Authors: Shen Xiaotao , Wu Si , Liang Liang , Chen Songjie , Contrepois Kévin , Zhu Zheng-Jiang , Snyder Michael 
Published: August 2021

Abstract

Summary
Accurate and efficient compound annotation is a long-standing challenge for LC–MS-based data (e.g. untargeted metabolomics and exposomics). Substantial efforts have been devoted to overcoming this obstacle, whereas current tools are limited by the sources of spectral information used (in-house and public databases) and are not automated and streamlined. Therefore, we developed metID, an R package that combines information from all major databases for comprehensive and streamlined compound annotation. metID is a flexible, simple and powerful tool that can be installed on all platforms, allowing the compound annotation process to be fully automatic and reproducible. A detailed tutorial and a case study are provided in Supplementary Materials.

Availability and implementation
https://jaspershen.github.io/metID.

Supplementary information
Supplementary data are available at Bioinformatics online.
MoMA-LoopSampler: a web server to exhaustively sample protein loop conformations
Authors: Barozet Amélie , Molloy Kevin , Vaisset Marc , Zanon Christophe , Fauret Pierre , Siméon Thierry , Cortés Juan 
Published: August 2021

Abstract

Summary
MoMA-LoopSampler is a sampling method that globally explores the conformational space of flexible protein loops. It combines a large structural library of three-residue fragments and a novel reinforcement-learning-based approach to accelerate the sampling process while maintaining diversity. The method generates a set of statistically likely loop states satisfying geometric constraints, and its ability to sample experimentally observed conformations has been demonstrated. This paper presents a web user interface to MoMA-LoopSampler through the illustration of a typical use-case.

Availability and implementation
MoMA-LoopSampler is freely available at: https://moma.laas.fr/applications/LoopSampler/. We recommend users to create an account, but anonymous access is possible. In most cases, jobs are completed within a few minutes. The waiting time may increase depending on the server load, but it very rarely exceeds an hour. For users requiring more intensive use, binaries can be provided upon request.

Supplementary information
Supplementary data are available at Bioinformatics online.
A spear to the heart—the accidental discovery of a giant cement embolism in the right heart: a case report
Authors: Lambers Moritz , Bruder Oliver , Wieneke Heinrich , Nassenstein Kai 
Published: August 2021

Abstract

Background
The incidence of recognized cardiopulmonary cement embolism in the context of percutaneous vertebroplasty varies between 0% and 23%. In most cases, only small fragments embolize in the pulmonary arteries or the right heart cavities. The latter can cause potential harm by right ventricular perforation.

Case summary
A 57-year-old patient was admitted to our department of cardiology due to exertional dyspnoea and chest pain. In the course of further diagnostic tests, a huge cement embolus was accidentally discovered in the right ventricle. The unusual size and length and the threat of ventricular perforation make this case so unique.

Discussion
Large cement embolisms in kyphoplasty settings are possible and associated with the risk of fulminant complications.
Right ventricular thrombus, a challenge in imaging diagnostics: a case series
Authors: Barbagallo Massimo , Naef Daryl , Köpfli Pascal , Hufschmid Urs , Niemann Tilo , Gebker Rolf , Beer Jürg Hans , Hireche-Chiakoui Hanane 
Published: August 2021

Abstract

Background
Presence of right ventricular thrombus (RVT) is a rare but life-threatening condition, thus immediate diagnosis and therapy are mandatory. Unfortunately, detection and distinction from intraventricular tumour masses or vegetations represent a complex task. Furthermore, consecutive therapy is principally led by clinical presentation without considering morphological features of the thrombus. Current literature suggests a multimodal non-invasive imaging approach. In this article, we discuss the role of cardiac magnetic resonance imaging (CMR) for the detection of RVT in patients with pulmonary embolism (PE). We consider the relatively expensive and not broadly available imaging procedure and weigh it up to its assumed high sensitivity, specificity, and importance for differential diagnosis and therapeutic decision-making.

Case summary
In this case series, we report three cases of RVT with concomitant PE, whereof two were missed during routine cardiac workup by transthoracic echocardiography and computer tomography. Cardiac magnetic resonance imaging led to detection and further characterization of the thrombi in both cases.

Conclusions
Cardiac magnetic resonance imaging reliably detects and characterizes RVT, even under unfavourable conditions for echocardiography such as arrhythmia, adiposity, or in posterior position of RVT. Obtained information could facilitate the choice of therapeutic approach (anticoagulation vs. systemic lysis vs. surgical thrombectomy). Future risk stratification scores will promote cost-effective use of CMR.
Mitogenomes of Accipitriformes and Cathartiformes Were Subjected to Ancestral and Recent Duplications Followed by Gradual Degeneration
Authors: Urantówka Adam Dawid , Kroczak Aleksandra , Strzała Tomasz , Zaniewicz Grzegorz , Kurkowski Marcin , Mackiewicz Paweł 
Published: August 2021

Abstract
The rearrangement of 37 genes with one control region, firstly identified in Gallus gallus mitogenome, is believed to be ancestral for all Aves. However, mitogenomic sequences obtained in recent years revealed that many avian mitogenomes contain duplicated regions that were omitted in previous genomic versions. Their evolution and mechanism of duplication are still poorly understood. The order of Accipitriformes is especially interesting in this context because its representatives contain a duplicated control region in various stages of degeneration. Therefore, we applied an appropriate PCR strategy to look for duplications within the mitogenomes of the early diverged species Sagittarius serpentarius and Cathartiformes, which is a sister order to Accipitriformes. The analyses revealed the same duplicated gene order in all examined taxa and the common ancestor of these groups. The duplicated regions were subjected to gradual degeneration and homogenization during concerted evolution. The latter process occurred recently in the species of Cathartiformes as well as in the early diverged lineages of Accipitriformes, that is, Sagittarius serpentarius and Pandion haliaetus. However, in other lineages, that is, Pernis ptilorhynchus, as well as representatives of Aegypiinae, Aquilinae, and five related subfamilies of Accipitriformes (Accipitrinae, Circinae, Buteoninae, Haliaeetinae, and Milvinae), the duplications were evolving independently for at least 14–47 Myr. Different portions of control regions in Cathartiformes showed conflicting phylogenetic signals indicating that some sections of these regions were homogenized at a frequency higher than the rate of speciation, whereas others have still evolved separately.
Distributed event-triggered consensus protocols for discrete-time multiagent systems
Authors: Karaki Bilal J , Mahmoud Magdi S 
Published: August 2021

Abstract
This paper focuses on leader-following and leaderless consensus problems of discrete-time multiagent systems. A distributed observer-based consensus protocol is proposed to investigate the consensus problem for multiagent systems of general discrete-time linear dynamics. By means of the observer, the distributed control law of each agent is designed using local information to guarantee consensus, and the corresponding sufficient conditions are obtained by exploiting graph and control theory approach. A modified distributed event-triggered consensus protocol is designed to reduce communication congestion. Detailed analysis of the leaderless and the leader-following consensus is presented for both observer-based and full-information protocols. Finally, two simulation examples are provided to demonstrate the effectiveness and capabilities of the established theories.
Socioeconomic and Comorbid Factors Associated With Frostbite Injury in the United States
Authors: Endorf Frederick W , Nygaard Rachel M 
Published: August 2021

Abstract
Frostbite largely affects the extremities and often results in long-term disability due to amputation. More regions are experiencing extremes in temperature which increases the risk of frostbite injury. The aim of this study was to detail social and comorbid factors associated with frostbite injury compared to isolated hand or foot burns. We used the National Inpatient Sample from 2016 to 2018 to identify admissions included in this study. Weighted incidence and multivariable analysis assessed characteristics and outcomes of frostbite and isolated hand or foot burn injury. In the United States, the estimated incidence of frostbite injury in those aged 15 and older was 0.95 per 100,000 persons and 4.44 per 100,000 persons with isolated hand and foot burns. Homelessness, mental health disorder, drug or alcohol abuse, and peripheral vascular disease were all associated with the risk of frostbite injury when compared to burn injury. We found that other insurance was associated with amputation following burn injury, while black race and homelessness were associated with amputation during a nonelective primary admission following frostbite injury. The differing risk factors associated with early amputation in frostbite and burn patients warrant a multicenter study including burn centers in North America.
Malignant Phyllodes Tumor: Imaging Features With Histopathologic Correlation
Authors: Lee Jane S , Chang Jodie , Hagemann Ian S , Bennett Debbie L 
Published: August 2021

Abstract
Phyllodes tumors (PT) are rare fibroepithelial lesions of the breast that commonly present as rapidly enlarging, palpable masses. Phyllodes tumors may be classified as benign, borderline, or malignant on the basis of histopathologic analysis. Although malignant PT cannot be distinguished from benign PT on the basis of imaging findings alone, studies suggest that malignant PT tend to be larger and irregular in shape, and they are less likely to have circumscribed margins. If biopsy results are indeterminate, excisional biopsy should be performed. Malignant PT can be difficult to distinguish histologically from sarcomas and spindle cell metaplastic breast carcinoma; the distinction is important for prognosis and treatment. Malignant PT are treated surgically with wide local excision, without a clear role for adjuvant radiation or chemotherapy in most cases. Nearly one-third of malignant PT recur locally, usually within a few years after initial diagnosis. Distant metastatic disease is rare, and the five-year overall survival rate of malignant PT is close to 80%. The purpose of this article is to review the clinical presentation, imaging appearance, histopathology, and management of malignant PT.