Systematic Review of Lay Responders Educational Outcomes to Identify Life-Threatening Bleeding

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Exploring Medical Students’ Self-Reported Confidence and Willingness Administering Basic Life Support (BLS) Following Peer-Led Training in the Context of COVID-19 by Sarah Allsop

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A distributed high efficiency similarity matrix computation method based on users’ mobile network access location by Yuan WANG, Hao JIANG, Ming WU, Donggui YAO, Yi ZHANG, Shuwen YI, Hai WANG, Jing WU

“…A distributed similarity matrix computation method based on users’ mobile network access location was proposed.MapReduce computing framework in the Hadoop ecosystem was used,and users’ mobile network access location information was considered as prior knowledge,then users were divided based on geographic location information and the similarity calculation was performed.The experimental results show that the computational efficiency of the proposed method is increased by nearly 25 times compared with the existing similarity matrix computation method.As for the outcome of the community detection,the proposed method get nearly the same results as the existing similar matrix computation method,the agreement rate is nearly 99.9%.…”
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Confirmation method for the detection of malicious encrypted traffic with data privacy protection by Gaofeng HE, Qianfeng WEI, Xiancai XIAO, Haiting ZHU, Bingfeng XU

“…In order to solve the problem that excessive false positives in the detection of encrypted malicious traffic based on machine learning, secure two-party computation was used to compare character segments between network traffic and intrusion detection rulers without revealing the data content.Based on the comparison results, an intrusion detection feature matching algorithm was designed to accurately match keywords.A random verification strategy for users’ input was also proposed to facilitate the method.As a result, malicious users couldn’t use arbitrary data to participate in secure two-party calculations and avoid confirmation.The security and resource consumption of the method were theoretically analyzed and verified by a combination of real deployment and simulation experiments.The experimental results show that the proposed method can significantly improve the detection performance with low system resources.…”
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Analysis of the growth kinetics of Fe2B layers by the integral method by Keddam M., Kulka M.

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An overview of artificial intelligence assisted channel estimation by Kun LI, Jing ZHANG, Xiao LI, Shi JIN

“…As the mainstream of the sixth generation mobile communication development,intelligent communication assisted by artificial intelligence technology is vigorously developing,and has initially demonstrated its advantages over traditional communication methods.As an important component of intelligent communication,artificial intelligence assisted channel estimation shows its superiority over traditional channel estimation algorithms in the existing research results,especially those researches based on compressive sensing technology,super resolution technology,residual learning,etc.Aiming at the channel estimation technology assisted by artificial intelligence,combined with the latest research results in the academic field,the whole picture of the channel estimation technology assisted by artificial intelligence from the four dimensions of deep convolution neural network,deep recurrent neural network,super-resolution technology and compression sensing technology were showed.Finally,the advantages and disadvantages of four kinds of channel estimation methods and their future research directions,and the broad prospect of the combination of channel estimation and deep learning were looked forward.…”
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Research of Feature Extraction and Fault Diagnosis Method of Gear Crack by Li Haiping, Zhao Jianmin, Wu Qingtian, Liu Yang

“…Gears are the most essential parts in rotating machinery,its health status is a significant index to indicate whether machines can run continually or not.So,an automatical and accuracy way for gear early stage fault diagnosis is very important in engineering practice.A novel gear fault diagnosis method based on Euclidean distance technique（EDT）is proposed.The energies of frequency bands are used as the fault feature paramdter in this method.Then,the euclidean distance between the test sample and each health status are calculated through the matrix which consist of the energy values.The class which is the test sample belongs is decided by the minimum distance value.The effectiveness of this methodology is demonstrated using an experiment conducted on a real gearbox.The results show that EDT can diagnose the gear crack fault with a higher accuracy rate than other similar method.As the same time,band energy is a sensitive feature parameter in gear crack fault diagnosis and can be used later.…”
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Role of CFT and PCR in diagnosis of Chlamydia psittaci in experimentally infected rabbits by V. V. Evstifeev, F. M. Khusainov, S. I. Yakovlev, R. I. Shangaraev, V. I. Eremets

“…Therefore, such a retrospective methodas complement fixation test with a сhlamydia antigen is of high diagnosticvaluefor lifetime сhlamydiadiagnosis.…”
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Prediction of Dynamic Stability Using Mapped Chebyshev Pseudospectral Method by Jae-Young Choi, Dong Kyun Im, Jangho Park, Seongim Choi

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A Framework of the Meshless Method for Topology Optimization Using the Smooth-Edged Material Distribution for Optimizing Topology Method by Jingbo Huang, Kai Long, Yutang Chen, Rongrong Geng, Ayesha Saeed, Hui Zhang, Tao Tao

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Social Media Recruitment as a Potential Trigger for Vulnerability: Multistakeholder Interview Study by Nina Matthes, Theresa Willem, Alena Buyx, Bettina M Zimmermann

“…ObjectiveThis study aims to explore expert and patient perspectives on vulnerability in the context of social media recruitment and seeks to explore how social media can reduce or amplify vulnerabilities. MethodsAs part of an international consortium that tests a therapeutic vaccine against hepatitis B (TherVacB), we conducted 30 qualitative interviews with multidisciplinary experts in social media recruitment (from the fields of clinical research, public relations, psychology, ethics, philosophy, law, and social sciences) about the ethical, legal, and social challenges of social media recruitment. …”
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Method for Calculating Transients in a Gas Pipeline by A. S. Fikov

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Preparation and Gas-Sensitive Properties of Square–Star-Shaped Leaf-Like BiVO₄ Nanomaterials by Jin Liu, Mengdi Yang, Yuanyuan Lv, Yixin Gao, Danyang Bai, Neng Li, Haoru Guo, Anyi Wang

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Uncertainty in soil gas permeability measurements by Lingxia Feng, Lingxia Feng, Junguo Hu, Junguo Hu, Junguo Hu, Junjie Jiang

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TRANSFORMATION REFLEXES OF PRE-CHRISTIAN WORLDVIEW IN KIEVAN RUS LITERATURE by Nataliia O. Stratonova

“…This process has had its impact on the internal development of the mythodogical consciousness of the people, has accelerated the emergence of the epic in his heroic cycles and Kiev, where it was easy, but dosed and originally instilled Christian ritual principles and values.Byzantine and Bulgarian literature’s circle passed to Russ ready and clear truth, and Rus scribes were the first who learnedit as a model for their life. …”
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Preparation and Gas-Sensitive Properties of SnO₂@Bi₂O₃ Core-Shell Heterojunction Structure by Jin Liu, Yixin Gao, Yuanyuan Lv, Mengdi Yang, Haoru Guo, Neng Li, Danyang Bai, Anyi Wang

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Acupuncture combined with multiple therapies for angina pectoris: a systematic review and network meta-analysis by Xiangyu Kong, You Gu, Zhao Qiu

“…This paper compared the efficacy of acupuncture combined with multiple treatment modalities for angina pectoris by network meta-analysis (NMA).MethodsAs of November 2023, this study searched eight electronic databases for randomized controlled trials (RCTs) of acupuncture combined with multiple modalities for the treatment of angina pectoris based on antianginal therapies. …”
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