bluuebunny/crossref_metadata_2025_split huggingface dataset:
Travel Route Prediction Using Travel Habits and Real-Time Traffic Condition
Authors: Mu Wanguo 
Published: January 2020

Abstract
The traffic problems of cities at home and abroad, especially major cities, have become focus issues. To solve this problem, traffic guidance is one of the most important solutions. For traffic guidance, precisely prediction of travel route of the users becomes one more and more urgent issue. To find out which factor affects the prediction mostly or to propose one efficient route prediction algorithm is attracting more researchers’ attentions. In this paper, we proposed one route prediction model to deal with the problem by considering both travel habits and real-time traffic condition. By embedding LSTM model, the proposed approach has the ability of predict sequence data to predict the travel route. Also the logistical model is introduced to embedding the real-time traffic condition data into the proposed model. Experiment results have evaluated the performance of the proposed approach.
Deepbot: A Deep Neural Network based approach for Detecting Twitter Bots
Authors: Luo Linhao , Zhang Xiaofeng , Yang Xiaofei , Yang Weihuang 
Published: January 2020

AbstractSocial networks have played a very critical role in very aspect of our daily life. However, a wide variety of bots have been found which are designed for some malicious purposes such as spreading spam mes- sages and faking news. Although various techniques have been proposed, this task is still challenging if we want to judge whether the tweets are posted by a bot or not merely based on the textual information. For this challenge, the Deepbot is designed which adopts the Bi-LSTM model to analyze tweets and a Web interface is provided for public access which is developed using Web service. From our empirical studies, this system can achieve better classification accuracy.
A Prediction Method of Node Attack Path based on Optimized-AG
Authors: Wang Kunfu , Feng Wei , Mao Wanfeng 
Published: January 2020

Abstract
An optimization algorithm for reducing the scale of attack graphs and an attack path prediction method are presented herein to cover the difficulty of predicting the attack path in traditional attack graphs. Firstly, a new distance cost attack graph model is generated and converted into a marked attack graph via the algorithm. Secondly, the original attack graph is optimized by introducing an attack distance weight value and a path redundancy coefficient in order to determine the possible attack paths and calculate the cost of path attack behavior. Finally, the preferred attack path is determined based on an evaluation function. According to the experimental results, the above scheme eliminated the path redundancy of attack graphs and achieved comprehensive prediction of attack paths.
Design of Embedded Medical Automatic Transfusion Supervision System
Authors: Wang Qiang , Wu Qiong , Zhao Long , Sun Hongfei , Wu Hejing , Wang Hui , Wang Qiang , Cao Yue 
Published: January 2020

Abstract
This paper puts forward a new type of automatic transfusion supervision system to solve the common problem that manual monitoring and manual replacement of medicine bottles take up more time and energy of family or nurses in the hospital, and devises the real-time monitoring and management function of the whole process of venous transfusion. The upper computer uses vb as the control interface, and the lower computer uses STM32 as the core controller, and the ZigBee self-networking technology is adopted to realize the long-distance wireless communication function. The controlled object is the stepping motor and transducer by using ZigBee Ad-Hoc Network technology to realize the function of remote wireless communication. Among them, in order to stabilize the process of replacing the bottle, the encoder is used to detect, and the PID control algorithm is designed. The experiment shows that this design can effectively reduce the flow of the infusion process, improve the working efficiency, so as to promote the digital development of the medical level in domestic.
Steganalysis of Intra Prediction Mode and Motion Vector-based Steganography by Noise Residual Convolutional Neural Network
Authors: Liu Peng , Li Songbin 
Published: January 2020

Abstract
In this paper, we present a universal steganalysis method for both intra prediction mode and motion vector-based steganography based on deep learning. Since the embedding process is eventually reflected in the modification of pixel values in decoded frames, we design a Noise Residual Convolutional Neural Network (NR-CNN) from the perspective of the spatial domain, which is the first CNN-based approach for this subject. In NR-CNN, feature extraction and classification modules are integrated into a unified and trainable network framework. It automatically learns features and implements classification in a data-driven manner, which effectively solves the existing problems. Experimental results show that NR-CNN has better performance of steganalysis than the related method.
Generating Test Data for Path Coverage Based on Genetic Algorithm
Authors: Fan Shuping , Ma Baoying , Yao Nianmin , Zhang Yan , Xia Chunyan , Zhang Dan 
Published: January 2020

Abstract
Test data generation is an important part of software testing. The imbalance of data crossing program branches is often ignored in generating test data. As a result, there is much data crossing some branches while little data crossing other branches. To solve the phenomenon so as to generate test data effectively, we introduce branch balance and program balance in the evolutionary generation of test data. First, the number of individuals crossing the true and false branch of each branch node on the target path are computed. Then, the calculation methods of branch balance and program balance are given. Finally, the fitness value function which considers the change of program balance before and after an individual joining is presented. And an individual that can improve the balance will be retained in the evolution process. Experiments show that our method is better than the other method in running time and success rate.
The Application and Discussion of Virtual Simulation Platform in the Teaching of Ship Handling and Collision Avoidance Course
Authors: Chen Jie , Liang Mincang , Liu Hu 
Published: January 2020

Abstract
With the development of the computer, virtual reality technology and “Internet+” concept, the virtual training system was used by all walks of life to carry out pre-job training, virtual simulation teaching has become an inevitable trend of the education industry. Through the analysis of the drawbacks of professional course on ship handling and collision avoidance, combining the advantages of virtual reality technology “Internet+” practical application in simulation implementation, the application superiority and significance of the application in the ship maneuvering collision course teaching is to be given in order to promote the development of virtual simulation teaching.
Population subdivision and hybridization in a species complex of Gentiana in the Qinghai-Tibetan Plateau
Authors: Fu Peng-Cheng , Sun Shan-Shan , Khan Gulzar , Dong Xiao-Xia , Tan Jin-Zhou , Favre Adrien , Zhang Fa-Qi , Chen Shi-Long 
Published: January 2020

AbstractBackground and AimsHosting several global biodiversity hotspots, the region of the Qinghai-Tibetan Plateau (QTP) is exceptionally species-rich and harbours a remarkable level of endemism. Yet, despite a growing number of studies, factors fostering divergence, speciation and ultimately diversity remain poorly understood for QTP alpine plants. This is particularly the case for the role of hybridization. Here, we explored the evolutionary history of three closely related Gentiana endemic species, and tested whether our results supported the mountain geo-biodiversity hypothesis (MGH).MethodsWe genotyped 69 populations across the QTP with one chloroplast marker and 12 nuclear microsatellite loci. We performed phylogeographical analysis, Bayesian clustering, approximate Bayesian computation and principal components analysis to explore their genetic relationship and evolutionary history. In addition, we modelled their distribution under different climates.Key ResultsEach species was composed of two geographically distinct clades, corresponding to the south-eastern and north-western parts of their distribution. Thus Gentiana veitchiorum and G. lawrencei var. farreri, which diverged recently, appear to have shared at least refugia in the past, from which their range expanded later on. Indeed, climatic niche modelling showed that both species went through continuous expansion from the Last Interglacial Maximum to the present day. Moreover, we have evidence of hybridization in the northwest clade of G. lawrencei var. farreri, which probably occurred in the refugium located on the plateau platform. Furthermore, phylogenetic and population genetic analyses suggested that G. dolichocalyx should be a geographically limited distinct species with low genetic differentiation from G. lawrencei var. farreri.ConclusionsClimatic fluctuations in the region of the QTP have played an important role in shaping the current genetic structure of G. lawrencei var. farreri and G. veitchiorum. We argue that a species pump effect did occur prior to the Last Interglacial Maximum, thus lending support to the MGH. However, our results do depart from expectations as suggested in the MGH for more recent distribution range and hybridization dynamics.
New Automatic Search Method for Truncated-Differential Characteristics Application to Midori, SKINNY and CRAFT
Authors: Ebrahimi Moghaddam AmirHossein , Ahmadian Zahra 
Published: January 2020

Abstract
In this paper, using Mixed-Integer Linear Programming, a new automatic search tool for truncated differential characteristic is presented. Our method models the problem of finding a maximal probability truncated differential characteristic, being able to distinguish the cipher from a pseudo-random permutation. Using this method, we analyze Midori64, SKINNY64/X and CRAFT block ciphers, for all of which the existing results are improved. In all cases, the truncated differential characteristic is much more efficient than the (upper bound of) bit-wise differential characteristic proven by the designers, for any number of rounds. More specifically, the highest possible rounds, for which an efficient differential characteristic can exist for Midori64, SKINNY64/X and CRAFT are 6, 7 and 10 rounds, respectively, for which differential characteristics with maximum probabilities of $2^{-60}$, $2^{-52}$ and $2^{-62.61}$ (may) exist. Using our new method, we introduce new truncated differential characteristics for these ciphers with respective probabilities $2^{-54}$, $2^{-4}$ and $2^{-24}$ at the same number of rounds. Moreover, the longest truncated differential characteristics found for SKINNY64/X and CRAFT have 10 and 12 rounds, respectively. This method can be used as a new tool for differential analysis of SPN block ciphers.
“I Know I Can’t Change the Future, But I Can Change the Past”: Toni Morrison, Robin Coste Lewis, and the Classical Tradition
Authors: McGowan Grace 
Published: January 2020

Abstract
“A central figure in transnational intellectual history” (Roynon, 2013), Toni Morrison’s oeuvre has helped deconstruct the triangulated relationship between a European Graeco-Roman classical tradition, Africa, and America. Morrison’s deconstruction of the classical past and its aesthetics have laid the foundation for the reconstructive work of a new generation of writers, including Robin Coste Lewis. Both writers renegotiate and reclaim a classical aesthetic by recovering its African roots and situating it in an African American context. In addition, the article (1) examines the role of a classical aesthetic in beauty discourse and Robin Coste Lewis’s re-vision of the black female body and (2) addresses what this means for canonicity, linking Lewis’s ambivalence about reclaiming a classical aesthetic to Morrison’s ambivalence in “Unspeakable Things Unspoken” (1987).
Low-density lipoproteins cause atherosclerotic cardiovascular disease: pathophysiological, genetic, and therapeutic insights: a consensus statement from the European Atherosclerosis Society Consensus Panel
Authors: Borén Jan , Chapman M John , Krauss Ronald M , Packard Chris J , Bentzon Jacob F , Binder Christoph J , Daemen Mat J , Demer Linda L , Hegele Robert A , Nicholls Stephen J , Nordestgaard Børge G , Watts Gerald F , Bruckert Eric , Fazio Sergio , Ference Brian A , Graham Ian , Horton Jay D , Landmesser Ulf , Laufs Ulrich , Masana Luis , Pasterkamp Gerard , Raal Frederick J , Ray Kausik K , Schunkert Heribert , Taskinen Marja-Riitta , van de Sluis Bart , Wiklund Olov , Tokgozoglu Lale , Catapano Alberico L , Ginsberg Henry N 
Published: January 2020

Abstract
Evasive balancing: India's unviable Indo-Pacific strategy
Authors: Rajagopalan Rajesh 
Published: January 2020

Abstract
India has adopted the Indo-Pacific concept with uncharacteristic speed. This article examines India's Indo-Pacific strategy, which evolved out of its earlier ‘Look East’ and ‘Act East’ policies but is much more focused on strategic concerns than on trade or connectivity. As such, the strategy is subset of its China policy, and includes contradictory elements of balancing China by building partnerships with the United States as well as with regional powers, while simultaneously pursuing a reassurance strategy to convince Beijing that India is not really balancing China. The combination of these contradictory elements is characterized as evasive balancing, which is a more useful concept than either pure balancing or hedging for understanding the policies of India and of many other countries in the region that are trying to manage China's rise. However, reassurance strategies rarely work and the combination of balancing and reassurance is even less likely to be viable.
Non-traditional security cooperation between China and south-east Asia: implications for Indo-Pacific geopolitics
Authors: Gong Xue 
Published: January 2020

Abstract
The ‘free and open Indo-Pacific’ (FOIP) strategy, actively promoted by the United States with support from its allies and partners, is a significant geopolitical response to China's growing power and expanding influence in Asia and beyond. Beijing has adopted various new strategies to cope with the challenges related to FOIP. One of these strategies is to secure a robust relationship with south-east Asia in order to make these regional states either neutral to or less supportive of the Indo-Pacific vision. In addition to economic statecraft and soft power, Beijing believes that it can also tap into the domain of non-traditional security (NTS) to strengthen relations with this region to position itself better in the intensifying regional geopolitical competition. The article addresses the following question: what is the impact of China's NTS cooperation with south-east Asia on Beijing's geopolitical rivalry with other major powers in the Indo-Pacific region? The article argues that China's NTS cooperation with south-east Asian countries may help China maintain its geopolitical standing in the region, but it is unlikely to lead to any dramatic increase of China's strategic influence in the region. This essentially means that Beijing may be able to prevent ASEAN or most ASEAN member states from lending substantive and strong support to the Indo-Pacific construct, but it will not be able to stop ASEAN states from supporting some elements of the FOIP.
Evidence of detrimental effects of prenatal alcohol exposure on offspring birthweight and neurodevelopment from a systematic review of quasi-experimental studies
Authors: Mamluk Loubaba , Jones Timothy , Ijaz Sharea , Edwards Hannah B , Savović Jelena , Leach Verity , Moore Theresa H M , von Hinke Stephanie , Lewis Sarah J , Donovan Jenny L , Lawlor Deborah A , Davey Smith George , Fraser Abigail , Zuccolo Luisa 
Published: January 2020

AbstractBackgroundSystematic reviews of prenatal alcohol exposure effects generally only include conventional observational studies. However, estimates from such studies are prone to confounding and other biases.ObjectivesTo systematically review the evidence on the effects of prenatal alcohol exposure from randomized controlled trials (RCTs) and observational designs using alternative analytical approaches to improve causal inference.Search strategyMedline, Embase, Web of Science, PsychINFO from inception to 21 June 2018. Manual searches of reference lists of retrieved papers.Selection criteriaRCTs of interventions to stop/reduce drinking in pregnancy and observational studies using alternative analytical methods (quasi-experimental studies e.g. Mendelian randomization and natural experiments, negative control comparisons) to determine the causal effects of prenatal alcohol exposure on pregnancy and longer-term offspring outcomes in human studies.Data collection and analysisOne reviewer extracted data and another checked extracted data. Risk of bias was assessed using customized risk of bias tools. A narrative synthesis of findings was carried out and a meta-analysis for one outcome.Main resultsTwenty-three studies were included, representing five types of study design, including 1 RCT, 9 Mendelian randomization and 7 natural experiment studies, and reporting on over 30 outcomes. One study design–outcome combination included enough independent results to meta-analyse. Based on evidence from several studies, we found a likely causal detrimental role of prenatal alcohol exposure on cognitive outcomes, and weaker evidence for a role in low birthweight.ConclusionNone of the included studies was judged to be at low risk of bias in all domains, results should therefore be interpreted with caution.Systematic review registrationThis study is registered with PROSPERO, registration number CRD42015015941
Electronic bills of lading, blockchains and smart contracts
Authors: Todd Paul 
Published: January 2020

Abstract
After a lengthy incubation period, electronic bills of lading (eBLs) are at last taking their first tentative steps in the shipping world. Systems currently in operation, however, are closed; only traders, carriers and banks who are members can participate. These closed schemes are not, therefore, true replacements for traditional paper bills of lading (pBLs), which can be used by anyone. Open eBL implementations are very difficult, which is no doubt why practical schemes so far have been closed. While blockchains and smart contracts make no difference to what is possible, they do to what is practicable. In particular, they may render feasible eBL implementations more open than those that have existed until now. They can obviate the need for distrusted central registries, and resolve the digital islands problem which can plague closed schemes. This article considers how an open eBL implementation might work. The schemes suggested here are rendered practicable by the new technology, should the industry choose to go down the eBL route. It may not so choose, at any rate in the short term, but if it does take this route, the article examines the legal obstacles that would need to be overcome. It assumes no change in the existing law, but concludes with a discussion of what lawmakers should consider, were they minded to assist.
Assessment of Bactrocera dorsalis (Diptera: Tephritidae) Diets on Adult Fecundity and Larval Development: Insights Into Employing the Sterile Insect Technique
Authors: Hou Qiu-Li , Chen Er-Hu , Dou Wei , Wang Jin-Jun 
Published: January 2020

Abstract
Bactrocera dorsalis (Hendel) is a notorious insect pest that attacks diverse vegetables and fruits worldwide. The sterile insect technique has been developed as an environmentally friendly and effective control method that depends on the mass production of target flies. Because dietary yeast (protein) and sucrose (carbohydrate) are important in adult diets, yeast:sucrose (Y:S) mixtures are crucial for the mass-rearing of B. dorsalis. In this study, we found adult diets with different ratios of yeast to sucrose-influenced fecundity, and an extremely high or low Y:S ratios significantly decreased egg production of B. dorsalis. Additionally, the maximum oviposition efficiency was realized at dietary yeast to sucrose ratios of 1:1 and 1:3, suggesting their potential use to produce more eggs for the mass production of B. dorsalis. Here, new gel diets having different yeast concentrations (g/L water) were also assessed for rearing B. dorsalis larvae. Gel diets containing 20 g/L yeast led to a higher pupation, pupal weight and adult eclosion rate, and a shorter developmental time than other yeast concentrations. Moreover, the present gel diet also resulted in greater pupal production and adult emergence rates than previously used liquid and solid artificial diets, revealing that it is suitable for rearing B. dorsalis larvae. This research provides a useful reference on artificial diets mixtures for mass rearing B. dorsalis, which is critical for employing the sterile insect technique.
The Integrated Stress Response and Phosphorylated Eukaryotic Initiation Factor 2α in Neurodegeneration
Authors: Bond Sarah , Lopez-Lloreda Claudia , Gannon Patrick J , Akay-Espinoza Cagla , Jordan-Sciutto Kelly L 
Published: January 2020

Abstract
The proposed molecular mechanisms underlying neurodegenerative pathogenesis are varied, precluding the development of effective therapies for these increasingly prevalent disorders. One of the most consistent observations across neurodegenerative diseases is the phosphorylation of eukaryotic initiation factor 2α (eIF2α). eIF2α is a translation initiation factor, involved in cap-dependent protein translation, which when phosphorylated causes global translation attenuation. eIF2α phosphorylation is mediated by 4 kinases, which, together with their downstream signaling cascades, constitute the integrated stress response (ISR). While the ISR is activated by stresses commonly observed in neurodegeneration, such as oxidative stress, endoplasmic reticulum stress, and inflammation, it is a canonically adaptive signaling cascade. However, chronic activation of the ISR can contribute to neurodegenerative phenotypes such as neuronal death, memory impairments, and protein aggregation via apoptotic induction and other maladaptive outcomes downstream of phospho-eIF2α-mediated translation inhibition, including neuroinflammation and altered amyloidogenic processing, plausibly in a feed-forward manner. This review examines evidence that dysregulated eIF2a phosphorylation acts as a driver of neurodegeneration, including a survey of observations of ISR signaling in human disease, inspection of the overlap between ISR signaling and neurodegenerative phenomenon, and assessment of recent encouraging findings ameliorating neurodegeneration using developing pharmacological agents which target the ISR. In doing so, gaps in the field, including crosstalk of the ISR kinases and consideration of ISR signaling in nonneuronal central nervous system cell types, are highlighted.