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59681por van Hoorn, Jacobus Willem“…During the R&D phase several chip architectures have been investigated, which take full advantage of a particular process feature, the deep p-well, that allows for full CMOS circuitry within the pixel matrix while retaining full charge collection efficiency. …”
Publicado 2016
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59682por Valsecchi, Davide“…New methods have been investigated in this thesis to exploit stateof-the-art deep learning architectures like Graph Neural Networks (GNN) and Transformer algorithms. …”
Publicado 2022
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59683por Idrisoglu, Alper, Dallora, Ana Luiza, Anderberg, Peter, Berglund, Johan Sanmartin“…Furthermore, an upsurge in the use of artificial neural network–based architectures was observed after 2017. Almost half of the included studies were published in last 2 years (2021 and 2022). …”
Publicado 2023
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59684“…The design rationales presented herein may open up new avenues for the development of high-electron-mobility novel electron-deficient indenofluorene and short-axis substituted donor–acceptor π-architectures via alkyl chain engineering and interface engineering.…”
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59685por Xiang, Liuxin, Liu, Jinggao, Wu, Chaofeng, Deng, Yushan, Cai, Chaowei, Zhang, Xiao, Cai, Yingfan“…CONCLUSIONS: The structural architectures, amino acid sequence similarities and synteny of NBS-encoding genes between G. arboreum and G. hirsutum, and between G. raimondii and G. barbadense were the highest among comparisons between the diploid and allotetraploid genomes, indicating that G. hirsutum inherited more NBS-encoding genes from G. arboreum, while G. barbadense inherited more NBS-encoding genes from G. raimondii. …”
Publicado 2017
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59686“…The field of DTS has developed to the point where a wide variety of reactions can be performed on a DNA template. Complex architectures and autonomous “DNA robots” have been implemented for the controlled assembly of BBs, and these mechanisms have in turn enabled the one-pot synthesis of large combinatorial libraries. …”
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59687por Poss-Doering, Regina, Kunz, Aline, Pohlmann, Sabrina, Hofmann, Helene, Kiel, Marion, Winkler, Eva C, Ose, Dominik, Szecsenyi, Joachim“…BACKGROUND: Personal electronic health records (PHR) are considered instrumental in improving health care quality and efficiency, enhancing communication between all parties involved and strengthening the patient’s role. Technical architectures, data privacy, and applicability issues have been discussed for many years. …”
Publicado 2018
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59688“…In recent years, with the development of large neural network architectures and medical imaging datasets, deep learning methods have become a methodology of choice for analyzing medical images. …”
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59689“…These were organized and analyzed according to learner groups, content matter, learning goals and architectures, and digital formats. RESULTS: Within- and between-learner group differences among 125 identified tools were investigated. …”
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59690por Tran, Duc Minh, Thwaites, C Louise, Van Nuil, Jennifer Ilo, McKnight, Jacob, Luu, An Phuoc, Paton, Chris“…These regulations and guidance cover a wide range of digital health domains, including hospital information management systems, general and interoperability standards, cybersecurity in health organizations, conditions for the provision of health information technology (HIT), electronic health insurance claims, laboratory information systems, HIT maturity, digital health strategies, electronic medical records, EHRs, and eHealth architectural frameworks. CONCLUSIONS: Research about hospital-based digital health systems in Vietnam is very limited, particularly implementation studies. …”
Publicado 2022
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59691“…Finally, we evaluated the performance of contextual text embeddings using transformer-based architectures. Specifically, we evaluated bidirectional encoder representation from transformers (BERT), Bio+Clinical-BERT, and Sentence-BERT (SBERT) on the telemedical triage task. …”
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59692“…OBJECTIVE: The main purpose of this study was to classify recent smart home technologies that monitor older adults’ health and to architecturally describe these technologies as they are used in older adults’ homes. …”
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59693“…Medical informatics is developing ways to move from siloed data to a more harmonized arrangement in information architectures. This paradigm shift will allow future research to integrate medical data at various levels and from various sources. …”
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59694“…This dataset was used to train and evaluate multiple network architectures. Images showing large- or moderate-sized pneumothorax were considered positive, and those with trace or no pneumothorax were considered negative. …”
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59695“…In proportion to their increases in diameter, G-phenotype differentiated-type early gastric cancer (EGC) tumours reportedly grow to eventually contain (an) undifferentiated-type component(s) and LG-tub1s, which are included in differentiated-type EGCs, reportedly exhibit changes in their glandular architectural and cytological atypia grades from LG to high-grade (HG) and can grow to contain a moderately differentiated tubular adenocarcinoma (tub2) component and undifferentiated components. …”
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59696por Bauman, William Alan, Cirnigliaro, Christopher M, Fountaine, Michael F La, Hobson, Josh, Kirshblum, Steven C, McKenna, Christin, Spungen, Ann M“…Once a large amount of bone has been lost, it would be challenging to restore BMD, trabecular architectural integrity, and mechanical strength to provide protection against long-bone fractures of the lower extremities. …”
Publicado 2020
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59697por Masias, Mireia, Valli, Isabel, Fortea, Adriana, De la Serna, Elena, Badia, Francina, Baeza, Immaculada, Castro-Fornieles, Josefina, Sugranyes, Gisela“…BACKGROUND: Volumetric and morphological hippocampal abnormalities are one of the key features of psychotic disorders. Architectural alterations in hippocampal pyramidal neurons have been observed post-mortem in schizophrenia, mainly due to decreased dendritic arborisation and spine density. …”
Publicado 2020
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59698por Prasad, Nadipuram R.“…His seminal works on Random Fuzzy Sets have (a) significantly impacted our perceptions of seeking methods and approaches to acquire and assimilate data or information from uncertain sources, (b) enhanced our understanding to develop strategies for deep learning the interconnections, implications, and consequences, thereby allowing the processing of data to its logical conclusions and (c) has infinitely broadened the horizon towards conceiving machine-based decision-making architectures that optimize our perceived understanding to build systems that can mimic human decision-making capabilities. …”
Publicado 2020
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59699“…METHOD: The proposed model uses three well-known diverse classifiers, extra trees, random forest and logistic regression, which have different architectures and learning characteristics at the first level, and then combines their predictions by using a second level extreme gradient boosting (XGBoost) classifier to achieve a better performance. …”
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59700por Park, Chae Jung, Cho, Young Sang, Chung, Myung Jin, Kim, Yi-Kyung, Kim, Hyung-Jin, Kim, Kyunga, Ko, Jae-Wook, Chung, Won-Ho, Cho, Baek Hwan“…METHODS: We proposed the 3into3Inception and 3intoUNet networks. Their network architectures were based on those of the Inception-v3 and U-Net networks, respectively. …”
Publicado 2021
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