Results 161 to 170 of about 2,485 (283)

The Soviet Expedition to the Central Arctic, 1954

, 1954
Contains account based on published Russian material. An historical outline of expeditions to the central Arctic between 1937 and 1950 is given. The 1954 expedition, undertaken by the Soviet government and directed by V.F.
Webster, Clifford J.
core  

Influence of the representation of landfast ice on the simulation of the Arctic sea ice and Arctic Ocean halocline

Landfast ice is near-motionless sea ice attached to the coast. Despite its potential for modifying sea ice and ocean properties, most state-of-the-art sea ice models poorly represent landfast ice.
Rousset, Clément, RAULIER, Jonathan, Sterlin, Jean, Fichefet, Thierry, Orval, Tim, Lemieux, Jean-François, Massonnet, François   +6 more
core   +1 more source

Limited impact of Greenland meltwater on abruptness and reversibility of future Atlantic overturning changes. [PDF]

Sci Adv
Mehling O, Bellomo K, Fabiano F, Devilliers M, Petrini M, Corti S, von Hardenberg J.   +6 more
europepmc   +1 more source

Gut Mycobiota‐Associated Tryptophan Catabolites Protect Against Metabolic Dysfunction‐Associated Steatotic Liver Disease

Advanced Science, EarlyView.
ABSTRACT Accumulating evidence suggests that the intestinal microbiota participates in the progression of metabolic dysfunction‐associated steatotic liver disease (MASLD) through microbiota‐host interaction. However, the beneficial role of commensal mycobiota in MASLD progression remains poorly understood.
Shuping Qiao, Shuangya Fan, Juan Xu, Zhen Xu, Chen Peng, Junxing Qu, Ziqian Bing, Shizhen Zhou, Sunan Shen, Guifang Xu, Yue Zhao, Tingting Wang   +11 more
wiley   +1 more source

The contribution of sea-ice recrystallization to the Arctic snowpack. [PDF]

Nat Commun
Macfarlane AR, Mellat M, Dadic R, Meyer H, Werner M, Brunello CF, Jafari M, Wever N, Arndt S, Krampe D, Sturm M, Schneebeli M.   +11 more
europepmc   +1 more source

Genome‐Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma

Advanced Science, EarlyView.
A genome‐wide microRNA CRISPR screen identifies miR‐18a as a master regulator of cross‐resistance in melanoma. Loss of miR‐18a activates the AJUBA–YAP/Hippo axis to confer BRAFi resistance and enhances THBS1–CD47 interaction to impair CD8+ T cell immunity. hnRNP A1 is identified as an upstream regulator of miR‐18a processing.
Zhao Wang, Haotian Liu, Xueqi Wang, Jianjin Teng, Zihan Zheng, Jingya Zhang, Wanyi Xiao, Qian Liang, Jiaxin Li, Xiaomeng Jia, Xin Feng, Hongzhang Cui, Menghan Luo, Tielong Yang, Liuxing Wu, Ke Zhao, Weilong Yang, Mulin Jun Li, Dandan Huang, Jilong Yang   +19 more
wiley   +1 more source

Spatial Pattern of Spring Mesozooplankton in the Marginal Ice Zone (Northern Barents Sea). [PDF]

Animals (Basel)
Dvoretsky VG, Dvoretsky AG.
europepmc   +1 more source

A pilot experiment to measure arctic pack-ice driving forces

, 1988
Pack-ice driving forces are synonymous with the limiting forces that can be transmitted through pack ice. Knowledge of this topic is important in relation to: ice loads on structures (the limiting driving force approach); ice motion modelling and forecasting; arctic ship routing.
Croasdale, K. R., Comfort, G., Frederking, R. M. W., Graham, B. W., Lewis, E. L.   +4 more
openaire   +1 more source

Adipocyte‐Derived Leptolin Enhances Energy Expenditure and Prevents Obesity

Advanced Science, EarlyView.
We identified a novel adipokine, which we named leptolin. In humans, leptolin levels in white adipose tissue were positively correlated with exercise and negatively associated with body mass index. We observed elevated leptolin in serum from athletes and lower leptolin in serum from obese individuals.
Jiarui Liu, Bingwei Wang, Zhijie Su, Xiaoxv Han, Miao He, Yun Zhao, Yujia Hou, Daotong Li, Weiguang Zhang, Lihua Qin, Ke Wang, Yanchun Li, Yi Yan, Siwang Yu, Xiaoshuai Huang, Tairan Yuwen, Jianyuan Luo, Ruimao Zheng   +17 more
wiley   +1 more source

Advancing global sea ice prediction capabilities using a fully coupled climate model with integrated machine learning. [PDF]

Sci Adv
Gregory W, Bushuk M, Zhang YF, Adcroft A, Zanna L, McHugh C, Jia L.   +6 more
europepmc   +1 more source