Background reference frame generation method for surveillance video based on image block codebook model by Wei ZHANG, Yu WANG, Xinyi CHEN, Yanwen WANG, Qingyang JING, Weimin LEI

“…To solve the problems that the background reference frames are seriously contaminated by the foreground, and the bit rate increases suddenly incurred by the one-time transmission of the background frames, a progressive background frame generation method with image block as the basic unit was proposed for surveillance video application.An image block codebook model based on clustering was formulated.The image blocks at the same position in the video sequence were effectively clustered by using perceptual hash-based element matching.The background symbol was accurately detected by using the characteristics of the background image area.A complete background frame was produced by extracting the background blocks in different frames based on the codebook model.Experimental results demonstrate that the proposed method achieves 17.89% coding efficiency for luma component compared with standard HM16.20, and can effectively improve the quality of the produced background reference frame.Besides, the proposed method complexity meets the real-time requirements of video applications.…”
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The Direct Gene Injection Using of Egg Yolk Emulsion as Carrier and its Comparison with Liposomes. by Baghdad Science Journal

“…The efficiency of egg yolk emulsion in coating DNA and its delivery across cellular membranes was evaluated in comparison with liposomes DOPE . …”
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The Reliability and Validity of a Novel Clinical Test for Assessing Shoulder Rotation ROM in Collegiate Baseball Players: Functional Assessment of System Tension of the Shoulder (F... by Steven Dischiavi, Jesse Perry, Connor Burk, Jeremy Chiang, Chris Bleakley

“…Intra-class correlation coefficient (ICC), standard error of measurement (SEM) and minimum detectable change (MDC) were calculated. …”
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DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image by Namwon Kim, Il-Seok Choi, Seong-Soo Han, Chang-Sung Jeong

“…Moreover, we shall show that the concatenation of channel-spatial attention to parallel attention module enables detecting haze component information more accurately while reducing the model complexity proportional to the number of parameters by combining the channel and spatial information generated respectively from two different channel and spatial branches. …”
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Role of artificial intelligence in healthcare insurance: systematic literature review by Ahmed Ali Alkhelb, Salah Alshagrawi

“…Background: The use of artificial intelligence (AI) has been shown to enhance human life quality by making it easier, safer, and more efficient. However, there is currently limited evidence about the applicability of AI in health insurance and easing the complexity of insurance operations. …”
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Sparse Cumulants Fitting for Direction-of-Arrival Estimation without Redundancy by Shuang Li, Xiaoxiao Jiang, Sai Ma, Yingguan Wang

“…Simulation results are presented to illustrate the effectiveness and efficiency of the proposed method.…”
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Acellular porcine placental membranes as a novel biomaterial for tissue repair applications by Gustavo Henrique Doná Rodrigues Almeida, Luan Stefani Lima, Mariana Sversut Gibbin, Beatriz Lopomo, Rafael Oliveira Bergamo, Raquel Souza da Silva, Giovanna Vitória Consani Santos, Bruna Gomes Silva, Isabela Paulillo D’Onofrio, Henrique dos Santos, Lediane Pedroso Silva, Tais da Silva, Henrique Lança Fuzeti, Bianca Fuzeti Candian, Thais Naomi Gonçalves Nesiyama, João Victor Damin, Claudio Guilherme de Assis Oliveira, Lucas Paulo Jacinto Saavedra, Guilherme Henrique Gonçalves de Almeida, Douglas Lopes de Almeida, Jaqueline de Carvalho Rinaldi, Francielle Sato, Mauro Luciano Baesso, Luzmarina Hernandes, Flávio Vieira Meirelles, Rose Eli Grassi Rici, Durvanei Augusto Maria, Paulo Cezar de Freitas Mathias, Ana Claudia Oliveira Carreira, Ana Claudia Oliveira Carreira

“…Biological dressings derived from the extracellular matrix (ECM) of human placental tissues have proven effective in treating complex skin wounds and other anatomical sites, offering potential for new therapeutic applications. …”
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Performance of conventional laboratory tests and Xpert MTB/RIF in the diagnosis of tuberculosis by Natalia Zaporojan, Ramona Hodișan, Andreea Atena Zaha, Claudiu Zaporojan, Dana Carmen Zaha

“…Our conclusions underline the importance of the Xpert MTB/RIF as a valuable tool in the diagnosis of TB, but it is recommended to use it in combination with other methods to ensure a complete and efficient diagnosis. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Finally, a dual-path distillation mechanism is introduced to transfer the efficient features and knowledge from the teacher model to the student model, MobileNetV3-Large. …”
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Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…Dual-functional radar–communication systems are extensively employed for the detection and control of unmanned aerial vehicle groups and play crucial roles in scenario monitoring. …”
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Key Nodes Identification Method in Scale-Free Network Based on Structural Holes by Weiyan Liu

“…It introduces two innovations: Dynamic multi-hop bridge detection, extending beyond the 2-hop limitation of E-Burt to quantify long-range bridging influence efficiently; and a weighted fusion model balancing coreness (via MDD) and bridging roles (via structural holes) with linear time complexity.Experiments on synthetic (Barabási-Albert), social (dolphin), infrastructure(Western U.S. power grid), and collaboration (co-authorship) networks demonstrate superiority. …”
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Multi-convolutional neural network brain image denoising study based on feature distillation learning and dense residual attention by Huimin Qu, Haiyan Xie, Qianying Wang

“…Noise in acquisition and transmission degrades image quality and affects the reliability of diagnosis and research. Due to the complexity of the brain's structure and minor density differences, noise can increase diagnosis difficulty, so high-quality images are essential for disease detection, prognosis assessment, and treatment plan development. …”
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High-Level Synthesis of In-Circuit Assertions for Verification, Debugging, and Timing Analysis by John Curreri, Greg Stitt, Alan D. George

“…Despite significant performance and power advantages compared to microprocessors, widespread usage of FPGAs has been limited by increased design complexity. High-level synthesis (HLS) tools have reduced design complexity but provide limited support for verification, debugging, and timing analysis. …”
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The role of phenolic OH groups of flavonoid compounds with H-bond formation ability to suppress amyloid mature fibrils by destabilizing β-sheet conformation of monomeric Aβ17-42. by Sahar Andarzi Gargari, Abolfazl Barzegar, Alireza Tarinejad

“…As a result, polyphenols are more efficient in destabilizing β-sheet structures of peptide. …”
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CARD8 and NLRP1 undergo autoproteolytic processing through a ZU5-like domain. by Andrea D'Osualdo, Christian X Weichenberger, Roland N Wagner, Adam Godzik, John Wooley, John C Reed

“…The "Function to Find Domain" (FIIND)-containing proteins CARD8 (Cardinal; Tucan) and NLRP1 (NALP1; NAC) are well known components of inflammasomes, multiprotein complexes responsible for activation of caspase-1, a regulator of inflammation and innate immunity. …”
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Comparative analysis and application of novel spectrophotometric approaches and bioassay for fast macrolide quantification in table by Abdelghani Mahmoudi, Silvia Francia

“…Linear calibration curves with correlation coefficients of 0.9980-0.9998 were obtained. Molar absorptivity and Sandell's sensitivity were less than 10.73 L/mole/cm and 0.0099 μg/cm, respectively, with a detection limit down to 0.27 μg/mL and quantification limits of 0.68-0.78 μg/mL. …”
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Classification of Metro Facilities with Deep Neural Networks by Deqiang He, Zhou Jiang, Jiyong Chen, Jianren Liu, Jian Miao, Abid Shah

“…Metro barrier-detection has been one of the most popular research fields. …”
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Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol by Martin Eklund, Brett Delahunt, Lars Egevad, Hemamali Samaratunga, Mattias Rantalainen, Marcello Gambacorta, Einar Gudlaugsson, Bodil Ginnerup Pedersen, Xiaoyi Ji, Karina Dalsgaard Sørensen, Kelvin Szolnoky, Nita Mulliqi, Anders Blilie, Henrik Olsson, Matteo Titus, Geraldine Martinez Gonzalez, Sol Erika Boman, Masi Valkonen, Svein Reidar Kjosavik, José Asenjo, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Łowicki, Kristina Hotakainen, Päivi Väre, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Toyonori Tsuzuki, Emilius Adrianus Maria Janssen, Kimmo Kartasalo

“…Many pathology departments are also facing an increasingly unsustainable workload due to rising prostate cancer incidence and a decreasing pathologist workforce coinciding with increasing requirements for more complex assessments and reporting. Digital pathology and artificial intelligence (AI) algorithms for analysing whole slide images show promise in improving the accuracy and efficiency of histopathological assessments. …”
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A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

“…Results demonstrate that our method efficiently solves the DSSE problem—which cannot be solved using conventional methods—and detects and mitigates bad data, further enhancing the reliability of the state estimation results.…”
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A simple validation and screening method for CRISPR/Cas9-mediated gene editing in mouse embryos to facilitate genetically modified mice production. by Dawid Winiarczyk, Hossein Khodadadi, Paweł Leszczyński, Hiroaki Taniguchi

“…We propose herein an evaluation method (cleavage assay - CA) for CRISPR/Cas9-mediated gene editing in preimplantation mouse embryos that allows us to detect mutants efficiently and later on initiate in vivo production without the extensive number of samples needing to be sent for Sanger sequencing and animal usage. …”
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