Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

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Strategy-Switch: From All-Reduce to Parameter Server for Faster Efficient Training by Nikodimos Provatas, Iasonas Chalas, Ioannis Konstantinou, Nectarios Koziris

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Faster-than-Clifford simulations of entanglement purification circuits and their full-stack optimization by Vaishnavi L. Addala, Shu Ge, Stefan Krastanov

“…The resulting purification circuits are the best-known for finite-size noisy hardware and can be fine-tuned for specific error-models. Furthermore, we design purification circuits that shape the correlations of errors in the purified pairs such that the performance of potential error-correcting codes is greatly improved.…”
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Studying Forgetting in Faster R-CNN for Online Object Detection: Analysis Scenarios, Localization in the Architecture, and Mitigation by Baptiste Wagner, Denis Pellerin, Sylvain Huet

“…In this context, the widely used architecture Faster R-CNN (Region Convolutional Neural Network) faces catastrophic forgetting: the acquisition of new knowledge leads to the loss of previously learned information. …”
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Use of Carry Chain Logic and Design System Extensions to Construct Significantly Faster and Larger Single-Stage N-Sorters and N-Filters by Robert B. Kent, Marios S. Pattichis

“…Although several researchers have published applications which use FPGA carry chain logic, most do not use carry chain logic as is done here, and none of the applications target sorting devices. …”
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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

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Multimodal Fusion and Cutting-Edge AI-Based Smart Vending Machines for Electronic Component Management by M. Karthiga, Syarifah Bahiyah Rahayu, E. Suganya, S. Sankarananth, S. Sountharrajan, K. Venkatesan

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Analysis of Gene Expression in an Inbred Line of Soft-Shell Clams (Mya arenaria) Displaying Growth Heterosis: Regulation of Structural Genes and the NOD2 Pathway by John J. Wilson, Janelle Grendler, Azaline Dunlap-Smith, Brian F. Beal, Shallee T. Page

“…This population displayed significantly faster growth (p<0.0001), as measured by 35.4% greater shell size. …”
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Flocculation and Settlement Behavior and Dynamic of Fine-grained Hematite Concentrate by Xin DONG, Chuan LU, Qin ZHANG

“…This is an article in the field of mining processing engineering. The article takes fine-grained hematite concentrate as the research object, explores the effects of the molecular weight of flocculant, the concentration of flocculant, the dosage of flocculant, and slurry temperature on the flocculation and settlement effect of fine-grained hematite concentrate. …”
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Structure and Expression of Two Sex-Related dmrt Genes in Oxyeleotris lineolata by Jiajia FAN, Dongmei MA, Huaping ZHU, Minghui LIN, Zaixuan ZHONG, Yuanyuan TIAN

“…The results showed that the expression levels of two dmrt genes were most highly expressed in the testis. The expression profiles of two dmrt genes at different developmental stages were analyzed using RT-qPCR. …”
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EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution by Sangseob Leem, Taesung Park

“…Many methods have been proposed to identify gene-gene interactions. …”
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Influence of fine-grained soil and loading rate on the mechanical behavior of soil rock mixtures by Hongbing WANG, He REN, Xuejie ZHANG, Wenchao SUN, Fan XU, Anjing LUO, Wenjie XU

“…This study utilized two types of fine-grained soils, non-cohesive and cohesive, to construct the soil-rock mixtures with similar stone content; indoor triaxial tests were conducted to investigate the effects of fine-grained soil type and loading rate on the mechanical behavior of soil-rock mixtures. …”
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The maturation of infant and toddler visual cortex neural activity and associations with fine motor performance by Katharina Otten, J. Christopher Edgar, Heather L. Green, Kylie Mol, Marybeth McNamee, Emily S. Kuschner, Mina Kim, Song Liu, Hao Huang, Marisa Nordt, Kerstin Konrad, Yuhan Chen

“…Associations between N1m and P1m latency and fine motor DQ scores were observed, suggesting that infants with faster visual processing may be better equipped to perform fine motor tasks. …”
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Fast 3D printing of fine, continuous, and soft fibers via embedded solvent exchange by Wonsik Eom, Mohammad Tanver Hossain, Vidush Parasramka, Jeongmin Kim, Ryan W. Y. Siu, Kate A. Sanders, Dakota Piorkowski, Andrew Lowe, Hyun Gi Koh, Michael F. L. De Volder, Douglas S. Fudge, Randy H. Ewoldt, Sameh H. Tawfick

“…Here, we demonstrate multi-nozzle printing of 3D hair arrays having freeform trajectories at a very high rate, with fiber diameters as fine as 1.5 µm, continuous lengths reaching tens of centimeters, and a wide range of materials with elastic moduli from 5 MPa to 3500 MPa. …”
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Morphophysiological alterations caused by insertional mutagenesis of contactin 5 (Cntn5) gene in transgenic mice by A. V. Smirnov, N. A. Feofanova, G. V. Kontsevaya, M. V. Anisimova, I. I. Kovrigin, I. A. Serova, M. P. Moshkin, L. A. Gerlinskaya, N. R. Battulin

“…In this paper, we report our analysis of morphophysiological parameters of the transgenic mouse line GM9, in which a transgene designed for milk-specific expression of the human granulocyte-macrophage colony-stimulating factor (GM-CSF) gene was integrated into the intron of the Contactin 5 gene (Cntn5). …”
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USE OF ALLELE-SPECIFIC MARKERS OF THE PPD AND VRN GENES FOR PREDICTING GROWING SEASON DURATION IN BARLEY CULTIVARS by M. M. Zlotina, O. N. Kovaleva, I. G. Loskutov, E. K. Potokina

“…Allelic combinations of the Vrn-H1, Vrn-H2, Vrn-H3, Ppd-H1, and Ppd-H2 genes have been investigated with allele-specific molecular markers in 91 spring barley cultivars recommended for use in Russia and Belarus. …”
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Toward Fine-Grained Partitioning of Low-Level SRAM Caches for Emerging 3D-IC Designs by Sudipta Das, Bhawana Kumari, Siva Satyendra Sahoo, Yukai Chen, James Myers, Dragomir Milojevic, Dwaipayan Biswas, Julien Ryckaert

“…Scaling on-chip memory capacity is one of the primary approaches to mitigate memory wall bottlenecks. …”
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Chemical- and photo-activation of protein-protein thiol-ene coupling for protein profiling by André Campaniҫo, Marcin Baran, Andrew G. Bowie, Daniel B. Longley, Timothy Harrison, Joanna F. McGouran

“…Faster thiol-ene reaction was observed as the cysteine and alkene were brought into proximity by a binding event prior to activation, leading to quicker adduct formation in the protein model system than the chemical models. …”
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Evaluating ovarian follicles and their steroid hormone gene expression patterns in a high egg-producing research turkey line by George B. Hall, Diane Hildenberger, Julie A. Long, Kristen Diehl

“…Differences between E Line and RBC1 hens (n = 4 per line) were investigated by measuring egg production traits, ovarian and follicle anatomical characteristics, and gene expression for reproductively important genes within different follicle types. …”
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Using the Sleeping Beauty Transposon System for Doxycycline-inducible Gene Expression in RAW264.7 Macrophage Cells to Study Phagocytosis by Parsa Kamali, Gregory Fairn

“…INPP4B-CaaX dephosphorylates the D-4 position of phosphatidylinositol 3,4-bisphosphate and inhibits phagocytosis. One benefit is that generating stable cell lines is substantially faster than selecting for random integrations. …”
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