Designing a defensive silence failure model of creative employees in organizations by Azam Khosravi, karam khalili, Esfandyar Mohammadi

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Discovering causal models for structural, construction and defense-related engineering phenomena by M.Z. Naser

“…Defence Technology…”
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A Multi-Signature Scheme for Defending Malleability Attack on DeFi by Chen Zhang, Wenyu Liao, Xiaobin Liu, Huanrong Wu, Mohammed J. F. Alenazi

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Wheelset-Bearing Fault Detection Using Adaptive Convolution Sparse Representation by Jianming Ding, Zhaoheng Zhang, Yanli Yin

“…Wheelset-bearing fault detection is of great significance to ensure the safety of high-speed train service. …”
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Detection of Postcoronary Stent Complication: Utility of 64-Slice Multidetector CT by Alpa Bharati, Suleman Merchant, Tilak Suvarna, Neha Parashar

“…Multiple long-term risks are also associated with drug eluting stents. 64-slice multidetector CT (MDCT) coronary angiography has been shown to detect poststent complications such as instent stenosis, thrombosis, stent migration and stent fractures. …”
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Detection of Mycoplasma spp. from snakes from five different families by Marline M. Faulhaber, Florence Tardy, Franziska Saul, Elisabeth Müller, Michael Pees, Rachel E. Marschang

“…A genus-specific PCR (PCR1) developed for the detection of Mycoplasma [Mycoplasmopsis] agassizii and a pan-mycoplasma PCR (PCR2) were used. …”
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Leveraging the Chain on Goals Model in Football: Applications for Attack and Defensive Play by Blanca De-la-Cruz-Torres, Miguel Navarro-Castro, Anselmo Ruiz-de-Alarcón-Quintero

“…Variables analyzed included team performance, attack and defensive performance, goals saved above average (GSAA), goals and possession value (PV), expected goals (xG), and xG on target (xGOT) for attack and defensive phases. …”
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Event Detection and Identification of Influential Spreaders in Social Media Data Streams by Leilei Shi, Yan Wu, Lu Liu, Xiang Sun, Liang Jiang

Subjects: “…event detection…”
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Detection of gene mutation in a case of Nagashima-type palmoplantar keratoderma by CAO Yuanyuan, YUAN Zhaojun, JIN Chuanyang, WANG Tianzi, LIAO Xiaojie, LIU Hong

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Intracellular Eukaryotic Pathogens’ Virulence Attributes and Their Interplay with Host Immune Defenses by Anamélia Lorenzetti Bocca, Célia Maria de Almeida Soares, Joshua D. Nosanchuk, Ildinete Silva-Pereira

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Comparisons of performances of structural variants detection algorithms in solitary or combination strategy. by De-Min Duan, Chinyi Cheng, Yu-Shu Huang, An-Ko Chung, Pin-Xuan Chen, Yu-An Chen, Jacob Shujui Hsu, Pei-Lung Chen

“…Our results demonstrate that the union combination approach enhanced detection capabilities, surpassing single algorithms in identifying deletions and insertions, and delivered comparable recall and F1 scores to the commercial software DRAGEN. …”
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Metagenomic Detection of Multiple Viruses in Monk Parakeet (Myiopsitta monachus) in Australia by Babu Kanti Nath, Suman Das Gupta, Saranika talukder, Nasrin Sultana Tonu, Shane R. Raidal, Jade K. Forwood, Subir Sarker

“…Subsequent sequence comparison and phylogenetic analyses further confirmed that the detected viruses belong to the genera Chaphamaparvovirus (unassigned species), Circovirus (species Circovirus parrot) and Siadenovirus (species Siadenovirus viridis). …”
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Optimized Deep Belief Network for Efficient Fault Detection in Induction Motor by Pradeep Katta, K. Karunanithi, S. P. Raja, S. Ramesh, S. Vinoth John Prakash, Deepthi Joseph

“…Induction motors in industrial processes have recently expanded dramatically in size, and complexity of defect identification and diagnostics for such systems has increased as well. …”
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Preemptive Circular Defence of Immature Insects: Definition and Occurrences of Cycloalexy Revisited by Guillaume J. Dury, Jacqueline C. Bede, Donald M. Windsor

“…Cycloalexy was coined by Vasconcellos-Neto and Jolivet in 1988 and further defined by Jolivet and collaborators in 1990 in reference to a specific type of circular defence. The term has been applied to numerous organisms, including adult insects, nymphs, and even vertebrates, but has lost precision with the accumulation of anecdotal reports not addressing key elements of the behaviour as first defined. …”
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Paraduodenal Pancreatitis: A Deceptive Abdominal Mass with Unique Histologic Findings by Jonathan Zadeh, Anthony Andreoni, Christopher Febres-Aldana, Kritika Krishnamurthy, Jyotsna Kochiyil, Cristina Vincentelli, Kfir Ben-David

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Clinical Performance of MAGLUMI Diagnostic Tests for the Automated Detection of Dengue Virus by Bo Peng, Zhonggang Fang, Cong Li, Kun Liu, Ting Wang, Ke Huang, Fan Yang, Yalan Huang, Chunli Wu, Yue Li, Dana Huang, Qian Zhang, Yijun Tang, Xiaolian Liu, Wei Rao, Xiaolu Shi

“…This study aims to assess the clinical performance of MAGLUMI Denv NS1 in detecting dengue virus NS1 antigen. Methods: A retrospective study was conducted to assess the sensitivity and specificity of MAGLUMI Denv NS1 using residual samples. …”
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Automated Detection of Short Optical Transients of Astrophysical Origin in Real Time by Marcin Sokołowski, Katarzyna Małek, Lech W. Piotrowski, Grzegorz Wrochna

“…The detection of short optical transients of astrophysical origin in real time is an important task for existing robotic telescopes. …”
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Defense responses of the green microalgae Chlorella vulgaris to the vanadium pentoxide nanoparticles by Kalehjahi Hanifeh Akbarian, Kosari-Nasab Morteza, Amini Mojtaba, Movafeghi Ali

“…These intercellular reactions designated the activation of the antioxidant defense system in response to the induced oxidative stress by V2O5 NPs.…”
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Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy by Fabio Pisano, Giuliana Sias, Alessandra Fanni, Barbara Cannas, António Dourado, Barbara Pisano, Cesar A. Teixeira

“…In the last decades, numerous approaches to automate this detection have been proposed and, more recently, machine learning has shown very promising performance. …”
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An Exponential Active Queue Management Method Based on Random Early Detection by Hussein Abdel-Jaber

“…One of the extensively investigated congestion control techniques is random early detection (RED). To sustain RED’s performance to obtain the desired results, scholars usually tune the input parameters, especially the maximum packet dropping probability, into specific value(s). …”
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