A Sparse Feature-Based Mixed Signal Frequencies Detecting for Unmanned Aerial Vehicle Communications by Yang Wang, Yongxin Feng, Fan Zhou, Xi Chen, Jian Wang, Peiying Zhang

“…The detection error and detection accuracy of component frequencies are less than 3.19% and greater than 90.7%, respectively.…”
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Invasive lobular carcinoma of the breast detected with real-time virtual sonography: a case report by Yukie Ito, Kimihito Fujii, Masayuki Saito, Hirona Banno, Mirai Ido, Manami Goto, Takahito Ando, Yukako Mouri, Junko Kousaka, Tsuneo Imai, Shogo Nakano

“…Biopsy of the primary lesion, which was initially only detected with MRI, was successfully performed with clear visualization during RVS, which is based on the fusion of MRI and US images. …”
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STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG by Raquel Fernández-Martín, Alfonso Gijón, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens

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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

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Trends in the development of the ISO 9001 quality management system – a parameter of the logistic function by Grzegorz Kazimierz Rządkowski, Katarzyna Szczepańska

“…Results Studies and calculations have fully confirmed that the number of ISO 9001 certificates between 1993 and 2022 can be effectively modelled using an appropriate multilogistics function. Using scalograms and CWT analysis, the type and position of successive logistic waves can be identified and their parameters can be estimated. …”
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Primary study on the expression pattern and function of zinc metalloproteinase NAS-31 in Haemonchus contortus by HUANG Yan, ZHANG Hui, TONG Danni, ZHOU Jingru, WU Fei, CHEN Xueqiu, YANG Yi, MA Guangxu, DU Aifang

“…In order to study the function of zinc metalloproteinase NAS-31 gene (Hc-nas-31) in the free-living period (especially L3) of this kind of worm, real-time quantitative polymerase chain reaction (qRT-PCR) was conducted to detect the transcription level of the target gene in different developmental stages of H. contortus. …”
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Evaluation of clopidogrel responsiveness using the Platelet Function Analyzer-200 (PFA-200) in dogs by Joon-Ho Shin, Hyun-Jung Han, Hyun-Jung Han

“…Increasing the maintenance dose successfully overcame clopidogrel resistance in these seven dogs. …”
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Lateralization of memory function in temporal lobe epilepsy using scene memory fMRI by William S. Tackett, Dawn Mechanic‐Hamilton, Sandhitsu Das, Marissa Mojena, Joel M. Stein, Kathryn A. Davis, John A. Detre

“…Building upon prior work using complex scene encoding to map memory function, we demonstrate that the use of high‐resolution fMRI along with an optimized task paradigm allows memory activation to be detected within the hippocampus. …”
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STRUCTURAL AND FUNCTIONAL CHANGES EVALUATED BY ECHOCARDIOGRAPHY IN PATIENTS WITH SYSTEMIC SCLEROSIS AND HEART RATE VARIABILITY by E. O. Saad, L. P. Ananyeva, R. T. Alekperov, D. S. Novikova, Yu. O. Korsakova, A. V. Volkov

“…Objective: to estimate heart rate variability (HRV) in patients with systemic sclerosis (SS) and to investigate their relationship to echocardiographic structural and functional changes in the heart.Subjects and methods. …”
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Laparoscopic transposition for crossing vessels (vascular hitch) in pure extrinsic pelvic-ureteric junction obstruction: a successful case report of a 2-year-old infant with horses... by Satoshi Ieiri, Kouji Nagata

“…We encountered a 2-year-old infant with pure extrinsic PUJO combined with horseshoe kidney who successfully underwent laparoscopic transposition for CVs (vascular hitch). …”
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Deep learning-based image classification of sea turtles using object detection and instance segmentation models. by Jong-Won Baek, Jung-Il Kim, Chang-Bae Kim

“…Despite their successful application in this domain, detecting objects in images with complex backgrounds, including underwater environments, remains a significant challenge. …”
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Development and testing of a device to detect trigger points, and local twitch responses in dry needling intervention by Manoj Kumar Sharma, Sarika Chaudhary, Hardika Sood

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Leaky ReLU-ResNet for Plant Leaf Disease Detection: A Deep Learning Approach by Smitha Padshetty, Ambika

“…Deep neural networks, particularly Convolutional Neural Networks (CNNs), have shown exceptional success in image classification tasks, often surpassing human-level performance. …”
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Picomolar Detection of Tau Protein Using 1D Photonic Crystal Biochips for Alzheimer's Disease Diagnosis by Alberto Sinibaldi, Francesco Chiavaioli, Agostino Occhicone, Norbert Danz, Peter Munzert, Francesco Baldini, Ambra Giannetti, Francesco Michelotti

“…This innovative method enables label‐free analysis of the bio‐conjugation process on biochips used for resolved fluorescence‐based Tau detection. This work successfully demonstrates Tau protein detection in both matrixes, achieving an outstanding limit of detection of 2.4 pM in cerebrospinal fluid. …”
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Development of an Electrochemical Paper-Based Device Modified with Functionalized Biochar for the Screening of Paracetamol in Substandard Medicines by Martin Kassio Leme da Silva, Francisco Contini Barreto, Guilherme dos Santos Sousa, Rafael Plana Simões, Gaurav Ahuja, Samriddha Dutta, Ashok Mulchandani, Ivana Cesarino

“…This study introduces a cost-effective electrochemical paper-based device (ePAD) modified with functionalized bamboo-derived biochar (BCF) for the detection of paracetamol in substandard medicines. …”
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Large field-of-view plasmonic scattering imaging and sensing of nanoparticles with isotropic point-spread-function by Xinxiang You, Zetao Fan, Hongli Zhang, Zhibo Xie, Chengen Li, Huaqiao Gui, Gang Zou, Qiwen Zhan, Jianguo Liu, Xu Liu, Douguo Zhang

“…Compared with SPRM, Chip-PSM retains high detection sensitivity and in situ label-free analysis capability, while offering a larger field-of-view, an isotropic point-spread-function and higher spatial resolution. …”
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High-throughput functional analysis provides novel insight into type VII secretion in Staphylococcus aureus by Yaping Yang, Aaron A. Scott, Holger Kneuper, Felicity Alcock, Tracy Palmer

“…Successful colonization by the opportunistic pathogen Staphylococcus aureus depends on its ability to interact with other microorganisms. …”
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Ultrasound examination in assessing the functional state of the diaphragm in patients with respiratory failure requiring respiratory support by P. G. Evgrafov, L. T. Hamidova, S. S. Petrikov, V. V. Kulabukhov

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Biofunctionalization of chalcogenide glass fiber to enhance real time and label free detection by mid infrared spectroscopy by Rayan Zaiter, Frédéric Adamietz, Frédéric Désévédavy, Clément Strutynski, Damien Bailleul, Frédéric Smektala, Thierry Buffeteau, Luc Vellutini, Marc Dussauze

“…This study shows that bio-functionalized chalcogenide optical fibers allow to combine successfully surface bio-selectivity and infrared absorption fingerprints measurements to get a remarkable sensitivity enhancement of fiber evanescent wave detection methods in the mid infrared spectral range.…”
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Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network by Yaping WU, Hongzhao DONG, Yingying LIN, Jing LIU

“…Artificial fish swarm algorithm as a new type of bionic swarm intelligence optimization algorithm has been successfully used in a variety of optimization problems and practical engineering field,but when faced with the complex optimization problems,especially the multiple extreme value of peak and multimodal function optimization problems,due to the objective function has many local minima,inevitably there are defects such as premature and slow convergence speed.The random and ergodic theory was introduced into the basic artificial fish swarm algorithm,and an improved algorithm was constructed to make artificial fish swarm search avoid possible local extremum.The effectiveness of the algorithm was validated in the simulation application in industrial control network anomaly detection.Compared with the basic artificial fish school algorithm,the chaos improved artificial fish swarm algorithm can effectively avoid the long-term search of the algorithm near the local extreme value.The algorithm has better performance in terms of global convergence and the search efficiency is more prominent.…”
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