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Published in 2018 at "Agribusiness"
DOI: 10.1002/agr.21553
Abstract: The “retail long tail” effect implies that both the level and concentration of sales moves to slower selling products in online environments, and total sales rise. We analyze the effect of assortment variation on store…
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Keywords:
online grocery;
long tail;
tail online;
grocery shopping ... See more keywords
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Published in 2018 at "Information Systems Frontiers"
DOI: 10.1007/s10796-018-9888-x
Abstract: This study aims to uncover role of network effects, namely the social influence and network externalities, on purchasing of digital goods. We are particularly interested in the differences in network effects in long tail versus…
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Keywords:
game;
network;
network effects;
long tail ... See more keywords
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Published in 2017 at "Cell"
DOI: 10.1016/j.cell.2017.01.015
Abstract: Long stretches of RNA trail after the coding region in most eukaryotic mRNAs. These 3' untranslated regions (3' UTRs) hold the key for many aspects of regulated gene expression, influencing mRNA stability, protein synthesis, and…
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Keywords:
tail mrna;
mrna regulation;
long tail;
regulation ... See more keywords
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Published in 2019 at "Cell reports"
DOI: 10.1016/j.celrep.2019.08.060
Abstract: SUMMARY Comprehensive sequencing approaches have allowed for the identification of the most frequent contributors to cancer, known as drivers. They have also revealed a class of mutations in understudied, infrequently altered genes, referred to as…
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Keywords:
driver;
tumor suppressor;
long tail;
cancer ... See more keywords
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Published in 2018 at "Nature genetics"
DOI: 10.1038/s41588-018-0078-z
Abstract: Comprehensive genomic characterization of prostate cancer has identified recurrent alterations in genes involved in androgen signaling, DNA repair, and PI3K signaling, among others. However, larger and uniform genomic analysis may identify additional recurrently mutated genes…
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Keywords:
tail oncogenic;
long tail;
oncogenic drivers;
prostate cancer ... See more keywords
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Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/adc8c4
Abstract: Due to the limited capacity to capture low-probability features of abnormal objects in long-tail distributions, intelligent and efficient abnormal object detection still fails to achieve ideal performance in practical environments. Therefore, a lightweight method for…
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Keywords:
abnormal object;
transmission line;
long tail;
object detection ... See more keywords
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Published in 2024 at "Bioinformatics"
DOI: 10.1101/2024.11.16.623961
Abstract: Motivation With the advancement of deep learning, researchers have increasingly proposed computational methods based on deep learning techniques to predict protein function. However, many of these methods treat protein function prediction as a multi-label classification…
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Keywords:
function prediction;
protein function;
long tail;
ontology ... See more keywords
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Published in 2018 at "Qualitative Research Journal"
DOI: 10.1108/qrj-d-17-00037
Abstract: Purpose Lack of understanding of the needs of older LGBT individuals is a global issue and their needs are often ignored by health and social care providers who adopt sexuality-blind approaches within their provision. As…
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Keywords:
research;
community;
older lgbt;
long tail ... See more keywords
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1
Published in 2018 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2018.2815358
Abstract: To enable the network softwarization, network function virtualization (NFV) and software defined networking (SDN) are integrated to jointly manage and utilize the network resource and virtualized network functions (VNFs). For a network flow resulting from…
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Keywords:
latency;
network;
response;
tail latency ... See more keywords
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Published in 2024 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2024.3350628
Abstract: As the basic task of an intelligent transportation system, nighttime vehicle detection is associated with many challenges. Existing methods usually ignore the significant challenges that arise from imbalanced class distribution among vehicles, which always leads…
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Keywords:
detection;
vehicle detection;
distribution;
vehicle ... See more keywords
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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2024.3487255
Abstract: Pedestrian trajectory prediction is critical for understanding human behavior. The prevailing approaches employ neural networks to predict trajectories from large amounts of trajectory data. However, pedestrian trajectory data exhibits a long-tail distribution, which presents challenges…
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Keywords:
prediction;
long tail;
contrastive learning;
trajectory ... See more keywords