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The causes of the extreme and persistent warming in the Northeast Pacific from the winter of 2013/14 to that of 2014/15 are still not fully understood. While global warming may have contributed, natural influences may also have played a role. El Niño events are often implicated in anomalously warm conditions along the US West Coast (USWC). However, the tropical Pacific sea surface temperature (SST) anomalies were generally weak during 2014, calling into question their role in the USWC warming. In this study, we identify tropical Pacific "sensitivity patterns" that optimally force USWC warming at a later time. We find that such sensitivity patterns do not coincide with the mature SST anomaly patterns usually associated with ENSO, but instead include elements associated with ENSO SST precursors and SST anomalies in the central/western equatorial Pacific. El Niño events that produce large USWC warming, irrespective of their magnitude, do project on the sensitivity pattern and are characterized by a distinct evolution of the North Pacific atmospheric and oceanic fields. However, even weak tropical SST anomalies in the right location, and not necessarily associated with ENSO, can significantly influence USWC conditions and enhance their predictability.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662748 | PMC |
http://dx.doi.org/10.1038/s41598-019-47400-4 | DOI Listing |
SYNGAP1 haploinsufficiency-related intellectual disability (SYNGAP1-ID) is characterized by moderate to severe ID, generalized epilepsy, autism spectrum disorder, sensory processing dysfunction, and other behavioral abnormalities. While numerous studies have highlighted a role of Syngap1 in cortical excitatory neurons development, recent studies suggest that Syngap1 plays a role in GABAergic inhibitory neuron development as well. However, the molecular pathways by which Syngap1 acts on GABAergic neurons, and whether they are similar or different from the mechanisms underlying its effects in excitatory neurons, are unknown.
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July 2025
Department of Pharmacology, Toxicology & Neuroscience, Louisiana State University Health Science Center Shreveport, Shreveport, LA, United States.
Introduction: Substance use disorders are often associated with impairments in cognitive and behavioral processes. Methamphetamine use disorder (MUD), in particular, has been linked to such differences, though it remains unclear whether response inhibition (the inability to withhold prepotent responses), risk taking, or other constructs play more prominent roles. Understanding the specific contributions of these constructs is essential for tailoring interventions and improving outcomes for individuals with MUD.
View Article and Find Full Text PDFSci Rep
July 2025
Department of Hematology, Juntendo University Graduate School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increase the rate of deep molecular response. However, the early diagnosis of CML is challenging due to the absence of clinical symptoms and peripheral blood test anomaly, especially at the timing of peripheral white blood cell count is within a normal range. This study explored the possibility of artificial intelligence (AI)-based quantitative detection of CML cells using ghost cytometry (GC) technology.
View Article and Find Full Text PDFOverfishing and climate change have led to the depletion of fishery resources in the offshore South China Sea. The purpleback flying squid () has emerged as a promising alternative due to its ecological and economic value. However, information on its preferred habitat conditions remains scarce.
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June 2025
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Ocean change leaves a potentially important imprint on ocean colorimetry. Here, we present an overview and current evaluation of the global ocean color variability from 1998 to 2022, and satellites observe that 36% of oceans (~122 million square kilometers, derived from valid observations) have experienced changes ( < 0.1).
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