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58641“…The content is divided into six chapters, the first four of which describe and address band-pass, high-pass, and low-pass filters, as well as multiband band-pass filters, the fundamentals of switches, and various switch architectures including single-pole single-throw (SPST), single-pole double-throw (SPDT), transmit/receive (T/R), and ultra-high-isolation switches, the fundamentals and models of MOSFETs used in the design of switches, and the essentials of CMOS RFIC design needed for the filter-switches presented in this book. …”
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58642por Snijders, Job“…</span><br /> <br /> <span style="color:#000000">Job has been actively involved in the Internet community in both </span><span style="color:#000000">operational, engineering, and architectural capacity, as a frequent </span><span style="color:#000000">presenter at network operator events such as NANOG, ITNOG, DKNOG, RIPE, </span><span style="color:#000000">NLNOG & APRICOT, and as developer in a number of community projects for </span><span style="color:#000000">over 15 years.…”
Publicado 2022
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58643por Pacher, Luca, Monteil, Ennio, Paternò, Andrea, Panati, Serena, Demaria, Natale, Rivetti, Angelo, Da Rocha Rolo, Manuel Dionisio, Dellacasa, Giulio, Mazza, Giovanni, Rotondo, Francesco, Wheadon, Richard, Loddo, Flavio, Licciulli, Francesco, Ciciriello, Fabio, Marzocca, Cristoforo, Gaioni, Luigi, Traversi, Gianluca, Re, Valerio, De Canio, Francesco, Ratti, Lodovico, Marconi, Sara, Placidi, Pisana, Magazzù, Guido, Stabile, Alberto, Mattiazzo, Serena“…This demonstrator, hereinafter referred to as CHIPIX-FE0, is composed of a matrix of 64 x 64 pixels with 50 $\mu$m x 50 $\mu$m pixel size embedding two different architectures of analog front-ends working in parallel. …”
Publicado 2017
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58644por Mandal, Ankita, Priyam, Siddhaant, Chan, Hsien Herbert, Gouveia, Bruna Melhoranse, Guitera, Pascale, Song, Yang, Baker, Matthew Arthur Barrington, Vafaee, Fatemeh“…Here, we implemented a machine learning classifier using popular convolutional neural network (CNN) architectures and demonstrated that it could correctly classify lesions between LM and AIMP on biopsy-confirmed RCM image stacks. …”
Publicado 2023
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58645por Sisinni, Emiliano, Fernandes Carvalho, Dhiego, Depari, Alessandro, Bellagente, Paolo, Flammini, Alessandra, Pasetti, Marco, Rinaldi, Stefano, Ferrari, Paolo“…In this paper, a test method for assessing architectural delays of real-world deployments of SCHC-over-LoRaWAN implementations is presented. …”
Publicado 2023
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58646“…Based on this, we propose two modified transformer architectures, united spatiotemporal Transformer (UST) and separated spatiotemporal Transformer (SST) to realize WiFi-based human gesture recognition models with task robustness. …”
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58647por Pilato, Serena, Moffa, Samanta, Siani, Gabriella, Diomede, Francesca, Trubiani, Oriana, Pizzicannella, Jacopo, Capista, Daniele, Passacantando, Maurizio, Samorì, Paolo, Fontana, Antonella“…By exploiting the rich reactivity of the GO’s basal epoxydic and edge carboxylate moieties when interacting, respectively, with NH(2) and NH(3)(+) groups of linear polyethylenimines (PEIs), 3D architectures with variable thickness and porosity can be manufactured, making use of the layer-by-layer technique through the subsequent dipping in GO and PEI aqueous solutions, thereby attaining enhanced compositional and structural control. …”
Publicado 2023
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58648por Wang, Shuihua, Abdelaty, Ahmed M. S. E. K., Parke, Kelly, Arnold, Jayanth Ranjit, McCann, Gerry P., Tyukin, Ivan Y.“…First, features from raw MRI images are generated using feature extractors built on ResNet and MoblieNet architectures. This is followed by atrous spatial pyramid pooling (ASPP) to produce spatial information at different scales to preserve more image context. …”
Publicado 2023
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58649por Surianarayanan, Chellammal, Lawrence, John Jeyasekaran, Chelliah, Pethuru Raj, Prakash, Edmond, Hewage, Chaminda“…The biological neural network has led to the realization of complex deep neural network architectures that are used to develop versatile applications, such as text processing, speech recognition, object detection, etc. …”
Publicado 2023
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58650por Sharma, Sumit, Iqubal, Ashif, Khan, Vasim, Sharma, Kalicharan, Najmi, Abul Kalam, Haque, Syed Ehtaishamul“…Transmission electron microscopy (TEM), histopathology, and MT staining of cardiac tissue were also done to assess the pathological and fibrotic architectural damage. RESULTS: A significant decline in hemodynamics and an anti-oxidant collapse were found in ISO-intoxicated rats. …”
Publicado 2023
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58651por Bianchini Fulindi, Rafael, Domingues Rodrigues, Juliana, Lemos Barbosa, Thulio Wliandon, Goncalves Garcia, Ariana D., de Almeida La Porta, Felipe, Pratavieira, Sebastião, Chiavacci, Leila Aparecida, Pessoa Araújo Junior, João, da Costa, Paulo Inácio, Martinez, Luis R.“…Crystal violet staining and confocal microscopy validated that Zn NPs inhibit biofilm formation and cause architectural damage. Our findings provide proof of principle that ZnS NPs have antibiofilm activity, and can be potentially used in medical and food industry applications, such as treatment of wound infections or package coating for food preservation. …”
Publicado 2023
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58652“…The physical environment has been shown to affect the emotional states of patients receiving mental health treatment, yet it remains unknown whether physical space design may play a role in optimizing the delivery of mental health care. Principles of architectural design and human-centered co-design have been applied to enhance the patient experience of facility environments; however, little is known about how patients view the impact of physical spaces on their recovery. …”
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58653“…Standing on the additive-free MOF crystal morphology growth control, porous architectures prepared in this approach can act as templates for ligand-free metal (Au, Ag, and Cu) nanocluster synthesis. …”
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58654“…This work explored several approaches to protect redox polymer-based glucose biosensors against such interferences by designing six targeted multi-layer sensor architectures. Biological interferents, like cells and proteins, and UA and AA interferents were found to have individual effects on the current density and operational stability of glucose biosensors, requiring individual protection and treatment. …”
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58655“…We provide a comprehensive summary of the various augmentations applied to medical time series data, the architectures of pre-training encoders, the types of fine-tuning classifiers and clusters, and the popular contrastive loss functions. …”
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58656por Sultana, Abida, Nahiduzzaman, Md., Bakchy, Sagor Chandro, Shahriar, Saleh Mohammed, Peyal, Hasibul Islam, Chowdhury, Muhammad E. H., Khandakar, Amith, Arselene Ayari, Mohamed, Ahsan, Mominul, Haider, Julfikar“…For this study, a dataset of 18,564 CXR images with seven disease categories was created from multiple publicly available sources. Four DL architectures including the proposed CNN model and pretrained VGG-16, VGG-19, and Inception-v3 models were applied to identify healthy and six lung diseases (fibrosis, lung opacity, viral pneumonia, bacterial pneumonia, COVID-19, and tuberculosis). …”
Publicado 2023
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58657por Ugrankar-Banerjee, Rupali, Tran, Son, Bowerman, Jade, Kovalenko, Anastasiia, Paul, Blessy, Henne, W Mike“…We find Act5C localizes to the FB cell surface and cell-cell boundaries, where it intimately contacts peripheral LDs (pLDs), forming a cortical actin network for cell architectural support. FB-specific loss of Act5C perturbs FB triglyceride (TG) storage and LD morphology, resulting in developmentally delayed larvae that fail to develop into flies. …”
Publicado 2023
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58658por Giacomazzo, Gina Elena, Conti, Luca, Fagorzi, Camilla, Pagliai, Marco, Andreini, Claudia, Guerri, Annalisa, Perito, Brunella, Mengoni, Alessio, Valtancoli, Barbara, Giorgi, Claudia“…Besides, the chemical architectures of MTZ derivatives made their interaction with NimAunfavorable, being NimA a model of reductases responsible for bacterial resistance against 5-nitroimidazole-based antibiotics, thus hinting at their possible use to combat antimicrobial resistance. …”
Publicado 2023
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58659“…PiXi models gene expression evolution as an Ornstein-Uhlenbeck process, and overlays this model with multi-layer neural network (NN), random forest, and support vector machine architectures for making predictions. It outputs the predicted class “conserved” or “diverged” for each pair of orthologs, as well as their predicted expression optima in the two species. …”
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58660por Pistellato, Mara, Bergamasco, Filippo, Bigaglia, Gianluca, Gasparetto, Andrea, Albarelli, Andrea, Boschetti, Marco, Passerone, Roberto“…In this paper, we propose a family of network architectures composed of three kinds of custom layers working with integer arithmetic with a customizable precision (down to just two bits). …”
Publicado 2023
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