Cardiac alterations induced by Trypanosoma cruzi extracellular vesicles and immune complexes. by Alberto Cornet-Gomez, Francisco O'Valle, José M Garrido, Fernando Rodríguez Serrano, Ana I Nieto, Antonio Osuna

“…Although the origin of these pathologies remains unclear, several mechanisms have been proposed, involving factors related to T. cruzi and the host immune response. …”
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SIFT Feature-Based Video Camera Boundary Detection Algorithm by Lingqiang Kong

“…The algorithm in this paper can detect the gradual change lens with the complex structure and obtain high detection accuracy and recall rate. …”
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Supervised Learning for Suicidal Ideation Detection in Online User Content by Shaoxiong Ji, Celina Ping Yu, Sai-fu Fung, Shirui Pan, Guodong Long

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Physioxia rewires mitochondrial complex composition to protect stem cell viability by Janice Raabe, Ilka Wittig, Patrick Laurette, Konstantina Stathopoulou, Theresa Brand, Thomas Schulze, Birgit Klampe, Ellen Orthey, Alfredo Cabrera-Orefice, Jana Meisterknecht, Ellen Thiemann, Sandra D. Laufer, Aya Shibamiya, Marina Reinsch, Sigrid Fuchs, Jennifer Kaiser, Jiaqi Yang, Simonida Zehr, Kinga M. Wrona, Kristina Lorenz, Robert Lukowski, Arne Hansen, Ralf Gilsbach, Ralf P. Brandes, Bärbel M. Ulmer, Thomas Eschenhagen, Friederike Cuello

“…Blue-native polyacrylamide gel electrophoresis coupled to mass spectrometry of the mitochondrial complexes detected higher abundance of NDUFA4L2 and ATP5IF1 and loss of incorporation into complex IV or V, respectively. …”
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A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study... by Hucheng Li, Jianjun Chen, Ming Ling, Zizhen Chen, Yanping Lan, Qinyi Huang, Xinhong Li, Haotian You, Feng Wang, Xiaowen Han, Guoqing Zhou

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Subclinical Leaflet Thrombosis and Subclinical Aortic Valve Complex Thrombosis in TAVR by Benjamin Marchandot, MD, Antonin Trimaille, MD, PhD, Shinnosuke Kikuchi, MD, Dinh Phi Truong, MD, Adrien Carmona, MD, Olivier Morel, MD, PhD

“…Subclinical leaflet thrombosis (SLT) following transcatheter aortic valve replacement occurs in 10% to 15% of patients at 1 month and up to 30% by 1 year, extending to perivalvular structures as subclinical aortic valve–complex thrombosis. We review contributing factors to SLT, including valve-specific parameters such as flow dynamics in the native sinus and neosinus, prosthesis sizing, deployment symmetry, implant depth, and commissural alignment; the persistent metabolic activity of retained calcified leaflets; and the impact of antithrombotic therapy on SLT incidence. …”
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Predicting the course of localized periodontitis of traumatic etiology after complex treatment by Aleksandra V. Smirnova, Diana A. Kuzmina, Natalia A. Sokolovich, Ekaterina S. Mikhailova, Svetlana V. Sverdlova, Ivan V. Grigoriev

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Attention-enhanced StrongSORT for robust vehicle tracking in complex environments by Wei Xu, Xiaodong Du, Ruochen Li, Bingjie Li, Yuhu Jiao, Lei Xing

“…Second, the F-EIoU loss function introduces dynamic size-dependent penalty terms and difficulty-adaptive weighting factors, effectively balancing learning priorities between small targets and normal instances. …”
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Population genetic analysis of clinical Mycobacterium abscessus complex strains in China by Xiangchen Li, Xiangchen Li, Yelei Zhu, Yewei Lu, Kunyang Wu, Yang Che, Xiaomeng Wang, Weixin Wang, Junli Gao, Junshun Gao, Zhengwei Liu, Zhengwei Liu, Zhuxian Zhou

“…Mobile genetic elements (MGEs), such as prophages and genomic islands, were prevalent across all genomes. 139 to 151 virulence factors (VFs) were identified per genome, with distinct accessory VFs in MabA and MabM affecting immune modulation and metabolism. …”
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Detection of Chlamydia pneumoniae in Ankylosing Spondylitis Patients by Baghdad Science Journal

“…This study aims at detecting some pathogenesis factors that lead to induce the disease. …”
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Detection of Chlamydia pneumoniae in Ankylosing Spondylitis Patients by Dunya Fareed Salloom

“…This study aims at detecting some pathogenesis factors that lead to induce the disease. …”
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Detection of communities with Naming Game-based methods. by Thais Gobet Uzun, Carlos Henrique Costa Ribeiro

“…Complex networks are often organized in groups or communities of agents that share the same features and/or functions, and this structural organization is built naturally with the formation of the system. …”
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Integrated assessment and prediction of transcription factor binding. by Andreas Beyer, Christopher Workman, Jens Hollunder, Dörte Radke, Ulrich Möller, Thomas Wilhelm, Trey Ideker

“…Prioritizing experimental conditions for each factor will be especially important as increasing numbers of chIP-chip assays are performed in complex organisms such as humans, for which "standard conditions" are ill defined.…”
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Defect Detection of Power Equipment by Infrared Image by Ruiyong HUANG, Meisheng DAI, Yuebin ZHENG, Qinqin HUANG, Liye KANG, Xiantai GOU, Weichao ZHOU

“…Through collecting field infrared image data samples, the algorithm model is trained and verified to identify and position different substation equipment and its components with high accuracy from complex infrared images. According to the surface temperature range of equipment components and the type of substation equipment, the infrared image is combined with relevant temperature specifications to realize the defect detection of power equipment. …”
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Multiscale Convolutional Neural Networks for Hand Detection by Shiyang Yan, Yizhang Xia, Jeremy S. Smith, Wenjin Lu, Bailing Zhang

“…The contributing factors for this complexity include heavy occlusion, low resolution, varying illumination conditions, different hand gestures, and the complex interactions between hands and objects or other hands. …”
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Machine Learning and SHAP-Based Analysis of Deforestation and Forest Degradation Dynamics Along the Iraq–Turkey Border by Milat Hasan Abdullah, Yaseen T. Mustafa

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Review of malware detection and classification visualization techniques by Jinwei WANG, Zhengjia CHEN, Xue XIE, Xiangyang LUO, Bin MA

“…With the rapid advancement of technology, network security faces a significant challenge due to the proliferation of malicious software and its variants.These malicious software use various technical tactics to deceive or bypass traditional detection methods, rendering conventional non-visual detection techniques inadequate.In recent years, data visualization has gained considerable attention in the academic community as a powerful approach for detecting and classifying malicious software.By visually representing the key features of malicious software, these methods greatly enhance the accuracy of malware detection and classification, opening up extensive research opportunities in the field of cyber security.An overview of traditional non-visual detection techniques and visualization-based methods were provided in the realm of malicious software detection.Traditional non-visual approaches for malicious software detection, including static analysis, dynamic analysis, and hybrid techniques, were introduced.Subsequently, a comprehensive survey and evaluation of prominent contemporary visualization-based methods for detecting malicious software were undertaken.This primarily encompasses encompassed the integration of visualization with machine learning and visualization combined with deep learning, each of which exhibits distinct advantages and characteristics within the domain of malware detection and classification.Consequently, the holistic consideration of several factors, such as dataset size, computational resources, time constraints, model accuracy, and implementation complexity, is necessary for the selection of detection and classification methods.In conclusion, the challenges currently faced by detection technologies are summarized, and a forward-looking perspective on future research directions in the field is provided.…”
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Factors of lumbosacral radiculopathy chronicity by L. A. Dziak, O. O. Shulha, V. M. Suk

“…The aim of the work is to identify chronicity factors of acute compressive lumbosacral radiculopathy depending on the severity of degenerative-dystrophic changes in the spine and pathomorphological changes in the zone of disc-radicular conflict based on complex clinical-neurological, neuro-orthopedic, neuroimaging, neurophysiological and statistical methods of examination. …”
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Cellular porosity in dentin exhibits complex network characteristics with spatio-temporal fluctuations. by Lucas Chatelain, Nicolas Tremblay, Elsa Vennat, Elisabeth Dursun, David Rousseau, Aurélien Gourrier

“…Overall, this study shows that dentin porosity exhibits typical characteristics of a complex network and quantitatively emphasize the importance of the smallest lateral branches. …”
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Development of an iridium complex fluorescent probe for FGF21 protein labeling and tracking by Lili Zhang, Shaobo Du, Wangye Ji, Jianfei Li, Ruilin Ma, Dexiang Yan, Yuhao Niu, Shuqin Zhao, Jiaxi Ru, Yuan Gao

“…Ir(III) complex IrCN with solvent ligands could selectively recognize His via covalent attachment to the His imidazole group, and serve as a reaction-based “turn-on” fluorescent probe for the detection of His and His containing proteins. …”
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