bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Model Compression for Embedded Platform through Quantization and Pruning
Authors: Hu Xiao , Wen Hao 
Published: November 2021

Abstract
So far, artificial intelligence has gone through decades of development. Although artificial intelligence technology is not yet mature, it has already been applied in many walks of life. With the explosion of IoT technology in 2019, artificial intelligence has ushered in a new climax. It can be said that the development of IoT technology has led to the development of artificial intelligence once again. But the traditional deep learning model is very complex and redundant. The hardware environment of IoT can not afford the time and resources cost by the model which runs on the GPU originally, so model compression without decreasing accuracy rate so much is applicable in this situation. In this paper, we experimented with using two tricks for model compression: Pruning and Quantization. By utilizing these methods, we got a remarkable improvement in model simplification while retaining a relatively close accuracy.
Attention Based Spatial-Temporal Graph Convolutional Networks for Short-term Load Forecasting
Authors: Liu Rong , Chen Luan 
Published: November 2021

Abstract
To predict the load of the power system with a known network structure, this paper proposes a novel attention based spatial-temporal graph convolutional network (ASTGCN) model to predict the node load in the power grid. The experimental results show the good performance of ASTGCN.
Research on an invasive and low-frequency power consumption data acquisition method
Authors: Sun Weijia , Wang Hui , Liu Yongfeng 
Published: November 2021

Abstract
Aiming at the large-scale, compatibility and reliability problems faced by the data acquisition engineering for power consumption in the industrial field, for reducing the complexity and cost of the data acquisition engineering, and improving the quality, maintainability, scalability and manageability of the data acquisition, an engineering-oriented, intrusive, low-frequency data acquisition scheme for power consumption is proposed. The scheme leverages multi-agent networking technology to solve the large-scale problem, utilizes the communication driver of the dynamic loading adapter mode to tackle the compatibility trouble. Furthermore, the local storage, breakpoint retransmission, flow control, automatic recovery, automatic connection, and time synchronization are combined to solve the reliability issue. Engineering tests show that the proposed scheme possesses the significant backward compatibility characteristics, which can effectively reduce the complexity and cost of data acquisition engineering for power consumption, and significantly improve the quality, maintainability, scalability and manageability of data acquisition.
Power analysis of smart home appliances based on SSA-TCN
Authors: Tang Chao , Tang Yong , Liang Huihui , Zhang Linghao , Xiang Siyu 
Published: November 2021

Abstract
The popularity of smart home equipment has led to higher requirements for equipment automation operation and maintenance. However, the energy consumption status and hidden faults of household equipment cannot be controlled in time only by using traditional monitoring methods. Therefore, this paper proposes a methods of power analysis for smart home appliances based on SSA-TCN using the energy consumption data of smart home appliances. The effective information of the data is extracted through the SSA singular spectrum analysis method, and the data sequence is input into the sequential convolutional network for judgment, so that the energy consumption status and working status of the equipment is obtained. The actual data is used as the training set and the test set to verify the recognition rate of the model. The experimental results show that the recognition rate of the method is about 82%, which provides an effective way for equipment automation and intelligent operation and maintenance.
Analysis and Application of intelligent Power Control System Cyber Security Situation Awareness Based on Wavelet Neural Network
Authors: Zhao Jingcheng , Li Xiaomeng , Cao Yaofu , Liu Junwen , Yan Junlu , Li Chengwei 
Published: November 2021

Abstract
In recent years, international industrial control network security incidents have occurred frequently. As a core component of the industrial control field, intelligent power control systems are increasingly threatened by external network attacks. Based on the current research status of power industrial control network security, closely combining the development of active monitoring and defense technology in the public network field and the problems encountered by network security operators in actual work, this paper uses data mining methods to study the power control system network security situation awareness technology. Combing operational data collection and integrated processing, situation index screening and extraction, we use wavelet neural network analysis method to train the sampled data set, and finally calculate the true value of the network security status through deep intelligent learning. Finally, we conclude that the artificial intelligence algorithm based on wavelet neural network can be used for power control system network security situation awareness. In actual work, it can predict the situation value for a period of time in the future and assist network security personnel in judgment and decision-making.
Feature Extraction and Clustering of High Dimensional Electromagnetic Interference Signals Based on Multidimensional Scaling and SOM Network
Authors: Li Hongyi , Xu Tianshi , Lian Haoran , Chen Wei , Zhao Di 
Published: November 2021

Abstract
With the wide application of communication technology, the threat of interference is becoming more and more serious. These disturbances usually appear as higher-dimensional vectors, and the nuances between the different vectors are indistinguishable to humans. A great deal of research has been done on how to deal with this interference in an automated way. But most of the computation time in these studies was spent on the training and computation of the convolution layer. As the electromagnetic equipment tends to be a large inheritance system, the electromagnetic signal also presents higher dimensional characteristics. Then the convolutional neural network represented must use larger and more convolutional layers, so the time cost is very high. Therefore, feature extraction of the original signal is carried out before clustering. After adjusting the selection of features, the algorithm performs well on our dataset.
Design and implementation of endogenous security container based on union file system
Authors: Xing Fukang , Zhang Zheng , Ma Bolin , Li Bingzheng 
Published: November 2021

Abstract
In order to solve the increasing attacks on container file system and the IO errors of containers in big data processing scenarios in cloud computing environment, a scheme based on the idea of heterogeneous redundancy in endogenous security and transformation of container union file system was proposed to improve the security and fault tolerance of containers. Based on the above scheme, experiments are carried out on Docker, the most popular container technology, and OverlayFS, the most representative union file system. The experimental results show that this scheme can improve the security and fault tolerance of containers on the premise of ensuring availability, and realize the endogenous security of containers.
Design of low emittance booster ring magnets for Iranian Light Source Facility[This paper is supported by Iranian Light Source Facility.]
Authors: Saeidi F. , Yousefnejad S. , Hashemi M. 
Published: November 2021

Abstract
Iranian Light Source Facility (ILSF) is a 3 GeV synchrotron
radiation laboratory in the detailed design stage. The main building
site is being excavated in Qazvin, 150 km from Tehran. The Booster
ring of this facility with a circumference of 504 m and a low
emittance of 3.5 nm rad accelerates electrons from 150 MeV to
3 GeV. Using POISSON and OPERA codes, we designed the ILSF
booster ring magnets including dipoles, quadrupoles, sextupoles, and
separate correctors. Cooling and electrical calculations are done,
and ramping effects are considered. The ILSF has also been
attempting to practice mechanical designs and to build prototype
magnets at this stage too.
Lula’s Prison Letters and the Brazilian Presidential Papers: Archives, Readings, and Uses
Authors: Heymann Luciana , Moreli Alexandre 
Published: November 2021

Abstract
For five hundred eighty days, between 2018 and 2019, former Brazilian President Luiz Inácio Lula da Silva remained imprisoned in the city of Curitiba, about two hundred miles South of São Paulo. During that period, more than twenty thousand letters were sent to him from all regions of the country—the result of a campaign initiated by the Workers’ Party and rapidly disseminated through social media—correspondence now archived at the Lula Institute, in the city of São Paulo, as part of the Lula Presidential Archives. This article surveys the status of private presidential archives in Brazil, probing the nature of “prison letters” and their uses in campaign actions for Lula’s release, with special attention to the circulation of documents in digital format on websites and social media. The authors had access to the documentation cited in this piece during the mobilization for the Lula Livre movements. Finally, the article contributes to the study of political correspondence and analyzes the challenges posed to historical research by the digital circulation of documents.
Clinical pharmacist involvement in expanding naloxone distribution in a veteran population
Authors: McQuillan Amanda 
Published: November 2021

Abstract

Purpose
To describe the process used in a clinical pharmacist specialist (CPS)–led Opioid Overdose Education and Naloxone Distribution (OEND) program initiative to increase naloxone distribution to veterans at high risk for overdose via provider education and identification of barriers to naloxone distribution.

Summary
Drug overdose is the leading cause of accidental death in the United States. One step toward counteracting the epidemic includes expanding access to and use of naloxone. The Veterans Health Administration has developed initiatives to target veterans at risk for opioid overdose, such as the Veterans Affairs (VA) OEND program. Pharmacists can play a unique role in OEND by both prescribing naloxone and educating patients and providers on risk mitigation strategies. Through provider education, patient education, and facility-wide initiatives, naloxone prescribing was increased by 9-fold from August 2016 to August 2018. In addition, the number of new naloxone prescribers increased by almost 7-fold during the intervention period. Naloxone distribution to high-risk groups drastically increased across all target groups.

Conclusion
CPS involvement in promoting OEND at VAPHS drastically increased rates of prescribing of naloxone kits to veterans at risk for opioid overdose. This initiative showed that a CPS can play multiple roles in supporting OEND outreach at a large healthcare setting.
META-DDIE: predicting drug–drug interaction events with few-shot learning
Authors: Deng Yifan , Qiu Yang , Xu Xinran , Liu Shichao , Zhang Zhongfei , Zhu Shanfeng , Zhang Wen 
Published: November 2021

Abstract
Drug–drug interactions (DDIs) are one of the major concerns in pharmaceutical research, and a number of computational methods have been developed to predict whether two drugs interact or not. Recently, more attention has been paid to events caused by the DDIs, which is more useful for investigating the mechanism hidden behind the combined drug usage or adverse reactions. However, some rare events may only have few examples, hindering them from being precisely predicted. To address the above issues, we present a few-shot computational method named META-DDIE, which consists of a representation module and a comparing module, to predict DDI events. We collect drug chemical structures and DDIs from DrugBank, and categorize DDI events into hundreds of types using a standard pipeline. META-DDIE uses the structures of drugs as input and learns the interpretable representations of DDIs through the representation module. Then, the model uses the comparing module to predict whether two representations are similar, and finally predicts DDI events with few labeled examples. In the computational experiments, META-DDIE outperforms several baseline methods and especially enhances the predictive capability for rare events. Moreover, META-DDIE helps to identify the key factors that may cause DDI events and reveal the relationship among different events.
ResCap: plant resistance gene prediction and probe generation pipeline for resistance gene sequence capture
Authors: Kushwaha Sandeep K , Åhman Inger , Bengtsson Therése 
Published: November 2021

Abstract

Summary
The discovery of novel resistance genes (R-genes) is an important component in disease resistance breeding. Nevertheless, R-gene identification from wild species and close relatives of plants is not only a difficult but also a cumbersome process. In this study, ResCap, a support vector machine-based high-throughput R-gene prediction and probe generation pipeline has been developed to generate probes from genomic datasets. ResCap contains two integral modules. The first module identifies the R-genes and R-gene like sequences under four categories containing different domains such as TIR-NBS-LRR (TNL), CC-NBS-LRR (CNL), Receptor-like kinase (RLK) and Receptor-like proteins (RLPs). The second module generates probes from extracted nucleotide sequences of resistance genes to conduct sequence capture (SeqCap) experiments. For the validation of ResCap pipeline, ResCap generated probes were synthesized and a sequence capture experiment was performed to capture expressed resistance genes among six spring barley genotypes. The developed ResCap pipeline in combination with the performed sequence capture experiment has shown to increase precision of R-gene identification while simultaneously allowing rapid gene validation including non-sequenced plants.

Availability and implementation
The ResCap pipeline is available at http://rescap.ltj.slu.se/ResCap/

Contact
sandeep.kushwaha@slu.se or sandeep@niab.org.in

Supplementary information
Supplementary materials are available at Bioinformatics Advances online.
Critical care management of the patient with pulmonary hypertension
Authors: Barnett Christopher F , O’Brien Connor , De Marco Teresa 
Published: November 2021

Abstract
Pulmonary hypertension (PH) is a common diagnosis in patients admitted to the cardiac intensive care unit with a wide range of underlying causes. A detailed evaluation to identify all factors contributing to the elevated pulmonary artery pressure and provide an assessment of right ventricular haemodynamics and function is needed to guide treatment and identify patients at highest risk for poor outcomes. While in many patients management of underlying and triggering medical problems with careful monitoring is appropriate, a subset of patients may benefit from specialized treatments targeting the pulmonary circulation and support of the right ventricle. In such cases, collaboration with or transfer to a centre with special expertise in the management of PH may be warranted.
The Nature and Context of Rules and the Identification of Customary International Law
Authors: Johnston Katie A 
Published: November 2021

Abstract
The International Court of Justice (ICJ) regularly invokes a two-element test for the identification of customary international law: state practice accompanied by opinio juris. Yet the Court’s application of this test has appeared inconsistent. In some cases, an absence of evidence of opinio juris leads to a finding that an alleged rule of customary international law does not exist; yet in other cases, there is no clear evidence of opinio juris on the part of states participating in the practice, but the Court nevertheless concludes that the alleged customary rule exists. In other cases, the Court concludes that a customary rule exists apparently based on evidence of opinio juris alone. This article argues that these judgments do not undermine the ICJ’s claim to be applying a two-element analysis but reveal something fundamental about how customary international law is identified – namely, that how the existence of state practice and opinio juris is evaluated may vary depending on the nature of the customary rule under investigation (for example, whether it is a permissive or prohibitive rule) and the context of underlying international law rules in which that alleged new customary international law rule is located.
The Power of Knowledge: How Think Tanks Impact US Foreign Policy
Authors: Zaytsev Dmitry G , Kuskova Valentina V , Kononova Alexandra 
Published: November 2021

AbstractStudies on foreign policy consider government as the key actor in policy formulation and implementation. Research, apparently, has devoted far less attention to impact of knowledge brokers, such as think tanks, on policy-making. How and why do think tanks influence US foreign policy? An analysis of five think tanks that differ in terms of their proximity to elites, origin, and ideology reveals two types of nonstate actors’ impact on foreign policy. Think tanks either advocate for own alternative policy proposals, solutions, and actions (“alternatives’ facilitators”), or clarify, justify, and legitimize those of the governments (“policy legitimizers”). These two roles dictate special mechanisms and think tank impact directions. In the first type, think tanks are less oriented toward mass media, but more oriented toward coalitions with nonstate actors and influence the opinions of elites. The second type is the opposite: higher orientation toward mass media and more pronounced connections with elites, and influence on the public. Different origins and strategy of think tanks may be the reasons for some observed differences.
Glue Genes Are Subjected to Diverse Selective Forces during Drosophila Development
Authors: Borne Flora , Kulathinal Rob J , Courtier-Orgogozo Virginie 
Published: November 2021

Abstract
Molecular evolutionary studies usually focus on genes with clear roles in adult fitness or on developmental genes expressed at multiple time points during the life of the organism. Here, we examine the evolutionary dynamics of Drosophila glue genes, a set of eight genes tasked with a singular primary function during a specific developmental stage: the production of glue that allows animal pupa to attach to a substrate for several days during metamorphosis. Using phenotypic assays and available data from transcriptomics, PacBio genomes, and sequence variation from global populations, we explore the selective forces acting on glue genes within the cosmopolitan Drosophila melanogaster species and its five closely related species, D. simulans, D. sechellia, D. mauritiana, D. yakuba, and D. teissieri. We observe a three-fold difference in glue adhesion between the least and the most adhesive D. melanogaster strain, indicating a strong genetic component to phenotypic variation. These eight glue genes are among the most highly expressed genes in salivary glands yet they display no notable codon bias. New copies of Sgs3 and Sgs7 are found in D. yakuba and D. teissieri with the Sgs3 coding sequence evolving rapidly after duplication in the D. yakuba branch. Multiple sites along the various glue genes appear to be constrained. Our population genetics analysis in D. melanogaster suggests signals of local adaptive evolution for Sgs3, Sgs5, and Sgs5bis and traces of selective sweeps for Sgs1, Sgs3, Sgs7, and Sgs8. Our work shows that stage-specific genes can be subjected to various dynamic evolutionary forces.
What does an explanted PASCAL device look like?
Authors: Van Hemelrijck Mathias , Sromicki Juri , Schmiady Martin O , Mestres Carlos-A 
Published: November 2021

Abstract
We report the case of a 78-year-old female patient who had a PASCAL device implanted for severe degenerative mitral regurgitation. Intraprocedural echocardiography revealed persistent severe mitral regurgitation due to device dislocation. Implanting another device was not possible. After 8 days, the device was explanted, and the valve was replaced with a biological prosthesis. The PASCAL device and resected mitral valve leaflets were sent for histopathological workup.
Everyday Cruelties: Political Economies of Migration and Indifference
Authors: Bashovski Marta 
Published: November 2021

AbstractThis article examines how attitudes and structures of indifference to oppression and global inequality—practices of cruelty—are cultivated at both macro (institutional) and micro (everyday life) levels. First, following (Inayatullah and Blaney 2010a, 2010b), I suggest that a core premise of classical political economy—the split between self and other—is depoliticized and rationalized by contemporary discourses of international political economy. This depoliticization is a condition of possibility for attitudes of indifference. Consequently, understanding attitudes and structures of indifference requires re-politicizing political economy as a cultural encounter structured through gendered and racialized hierarchies. Second, I argue that indifference to cruelty is cultivated through recourse to ethical rather than political imperatives, which foreground ethical action in ways that continue to depoliticize the cruelties of global inequality. Two sites animate this project and foreground a form of banal cruelty justified through the cultivation of political indifference: at the microlevel, a dystopian short story that takes an ethicized indifference as the basis for accounting for racialized and gendered labor migration (George Saunders’ “The Semplica Girl Diaries”), and, at the macro-level, Canada's Temporary Foreign Worker programs, which produce depoliticized justifications for systemic racialized exploitation. I argue that this ethicization of political relationships is a way of precluding engagement with the colonial politics of indifference and the everyday cruelties of political economy through which inequalities and exploitations are produced and reproduced.