Professional Network Community for Training Youth Workers: Conceptual Framework and Prerequisites for the Creation by E. M. Kharlanova, E. V. Shirokova, O. V. Besschetnova, A. B. Fedulova

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Experimental Research on Dynamic Behavior of Circular Mild Steel Plates with Surface Cracks Subjected to Repeated Impacts in Low Temperature by Yang Zeng, Hao Chen, Rong Yu, Zhiyuan Shen, Zixian Yu, Jingxi Liu

“…The present investigations provide useful insight into the failure mechanism of the clamped thin plate with initial crack under low-velocity repeated impacts in low temperature, which will lead to a guideline for research and design of marine structures in the arctic area.…”
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Betula pendula Roth. survival and growth in treeline is affected by genotype and environment by Kari Saikkonen, Otto Saikkonen, Marjo Helander, Irma Saloniemi

“…Abstract Alpine and Arctic treelines are assumed to be shifting toward higher latitudes and altitudes as a consequence of climate warming. …”
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Recent and future variability of the ice-sheet catchment of Sermeq Kujalleq (Jakobshavn Isbræ), Greenland by Anja Løkkegaard, William Colgan, Andy Aschwanden, Shfaqat Abbas Khan

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STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting by Sizhe Wang, Wenwen Li, Chia-Yu Hsu

“…This article contributes to the expanding literature by developing a data-driven, artificial intelligence (AI)-based solution for forecasting sea ice concentration in the Arctic. Specifically, we introduced STEPNet—a spatial and temporal encoding pipeline capable of handling the temporal heterogeneity of multivariate sea ice drivers, including various climate and environmental factors with varying impacts on sea ice concentration changes. …”
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Study approaches mediate associations between learning environment and academic performance by Tore Bonsaksen, Amayra Tannoubi, Linda Stigen, Astrid Gramstad, Tove Carstensen, Gry Mørk

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Climate variability can outweigh the influence of climate mean changes for extreme precipitation under global warming by K. Nordling, K. Nordling, N. L. S. Fahrenbach, B. H. Samset

“…Changes in the widths and shapes of precipitation distributions are especially dominating over mean changes in Asia, the Arctic and sub-Saharan Africa. In contrast, temperature changes are primarily driven by changes in the mean state. …”
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Variation Diagnosis of Maximum Precipitation in Jiangxi Province in 60 Years by WU Shaofei, WANG Qi, HUANG Binbin, JU Xiang, XU Changbao, HE Miao

“…Hourly precipitation data of 91 meteorological stations in Jiangxi Province during 1954—2012 were selected to analyze the variation of maximum precipitation in consecutive 1 h,3 h,6 h,12 h and 24 h using hydrologic variation diagnostic system (HDMS) .Firstly,in the detailed diagnosis,linear trend,Kendall and Spearman methods were used for trend test,and M-K,cumulative anomaly,ordered clustering,sliding F,sliding rank sum and other test methods were adopted for jump diagnosis.Secondly,the efficiency coefficient R² was employed to determine the final diagnosis results and conduct the spatio-temporal analysis.Finally,the spatial characteristics of the occurrence frequency of maximum precipitation greater than or equal to 16 mm,30 mm and 50 mm were analyzed.The results show the followings:① The spatial distribution characteristics of maximum precipitation in Max1 h,Max3 h,Max6 h,Max12 h and Max24 h were similar in Jiangxi Province.With the increase in duration,most stations with variations witnessed a jumping increase.Those with significant variations were more in the northern plain than in the southern mountain area,namely that the spatial distribution was dense in the north and sparse in the south.② The degree of precipitation series variation was positively and negatively correlated with elevation in the southern mountain area and the northern plain area,respectively.Studies have shown that atmospheric circulation indexes AO (Arctic oscillation),NAO (North Atlantic oscillation) and PNA (Pacific-North American oscillation) had negative,positive and negative correlations with precipitation at stations in the study area,respectively.Therefore,the atmospheric circulation indexes have correlations with the change of precipitation series in Jiangxi Province,which are one of the causes of the maximum precipitation variation in the period.③ The frequency of regional rainstorms gradually decreased with the increase in duration,and rainstorm events in the northern plain area were less than those in other mountain areas due to the influence of topographic factors.Through the analysis of hourly precipitation data of many years in Jiangxi Province,this paper is expected to provide some reference for short-term rainstorm forecast and flood warning.…”
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Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades by Xiaobin Guan, Huanfeng Shen, Yuchen Wang, Dong Chu, Xinghua Li, Linwei Yue, Wei Li, Xinxin Liu, Liangpei Zhang

“…We believe that the STFLNDVI product will be of great significance in characterizing the spatial patterns and long-term variations of global vegetation and the historical radiometric calibrations in AVHRR data gaps around the Arctic and instrument differences between MODIS and AVHRR should be further considered in the future.…”
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Projected Thermally Driven Elderly Mortality for Beijing Under Greenhouse Gas and Stratospheric Aerosol Geoengineering Scenarios by Jun Wang, Liyun Zhao, John C. Moore

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Educational Migration in Russian Regions: Statistical Approach by E. A. Pitukhin, O. A. Zyateva, L. V. Shchegoleva, V. E. Sokolov

“…Three territorially different educational centers of gravity were identified: “Metropolitan”, “Southern” and “Siberian”, which include 27 regions of Russia from the two best clusters by the indicator of educational migration. The regions of the Arctic zone of the Northwestern Federal District and the Far East enjoy the least educational popularity. …”
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Rapid Emulation of Spatially Resolved Temperature Response to Effective Radiative Forcing by Christopher B. Womack, Paolo Giani, Sebastian D. Eastham, Noelle E. Selin

“…These errors are likely driven by state‐dependent climate feedbacks, such as the non‐linear effects of Arctic sea ice melt. We additionally show an illustrative example of our emulator for policy evaluation and impact analysis, emulating spatially resolved temperature change for a 1,000 member scenario ensemble in less than a second.…”
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Development of the test kit for detection of SARS-CoV-2 antibodies in sera of susceptible animals by M. A. Volkova, N. G. Zinyakov, P. S. Yaroslavtseva, I. A. Chvala, T. S. Galkina, D. B. Andreychuk

“…The reaction conditions were optimized, and a positive-negative threshold was established by testing of 154 negative sera from animals of six species (ferrets, minks, foxes, arctic foxes, cats and dogs). The method reproducibility analysis showed that the average value of the variation coefficient did not exceed 7%, which is an acceptable value. …”
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Influence of breed and environment on leukocyte telomere length in cattle by N. S. Yudin, A. V. Igoshin, G. A. Romashov, A. A. Martynov, D. M. Larkin

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A Metaheuristic Approach to Detecting and Mitigating DDoS Attacks in Blockchain-Integrated Deep Learning Models for IoT Applications by Manal Alkhammash

“…For the feature selection process, the arctic tern optimization (ATO) technique is employed to decrease the data dimensionality while conserving the most relevant attributes. …”
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Climate change heterogeneity: A new quantitative approach. by María Dolores Gadea Rivas, Jesús Gonzalo

“…Overall, although both the Globe and Spain suffer an equivalent warming process in the median (mean) temperature, Spain's warming dominates the Globe in the upper quantiles and is dominated in the lower tail of the global temperature distribution that corresponds to the Arctic region. Our climate change heterogeneity results open the door to the need for a non-uniform causal-effect climate analysis that goes beyond the standard causality in mean and for a more efficient design of the mitigation-adaptation policies. …”
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Interferometric Study of Ionospheric Plasma Irregularities in Regions of Phase Scintillations and HF Backscatter by Andres Spicher, James LaBelle, John W. Bonnell, Roger Roglans, Chrystal Moser, Stephen A. Fuselier, Scott Bounds, Lasse B. N. Clausen, Francesca Di Mare, Connor A. Feltman, Yaqi Jin, Craig Kletzing, Wojciech J. Miloch, Jøran I. Moen, Kjellmar Oksavik, Rhyan Sawyer, Toru Takahashi, Tim K. Yeoman

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Impacts of Sea Surface Temperature and Atmospheric Teleconnection Patterns in the Northern Mid-Latitudes on Winter Extremely Cold Events in North China by Liping Li, Wenjie Ni, Yige Li, Dong Guo, Hui Gao

“…This trend abrupt change occurs in late winter. (2) When the SST in the North Pacific shows an “El-Niño-like” anomaly in winter, it triggers the negative Arctic Oscillation (−AO), positive Pacific North America (+PNA), and positive Eurasia Pacific (+EUP) atmospheric teleconnection patterns in the mid-lower troposphere. …”
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Attribution of a record-breaking cold event in the historically warmest year of 2023 and assessing future risks by Yangbo Ye, Cheng Qian, Aiguo Dai, Yuting Zhang, Jiacheng Jiang, Xiaoye Zhang

“…Here, we show that the large-scale atmospheric circulation associated with the warm Arctic was the main event driver, explaining 83 ± 2% of the intensity of the 2023 cold event, whereas the thermodynamic effect of climate change suppressed the event intensity by −6 ± 3% in ERA5 and −22 ± 2% in HadGEM3-A-N216. …”
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Temporal and Spatial Evolution Characteristics of Extreme Climate Events in Grand Shangri-La Region from 1961 to 2019 by WU Yang, JIN Hanyu, CHENG Qingping

“…The Grand Shangri-La region connects the Qinghai-Tibet Plateau,the Yunnan-Guizhou Plateau,and the Hengduan Mountains and is of great geographical significance.Five rivers flow through the region,and the climate is vulnerable.Therefore,it is necessary to explore extreme climate changes and their response mechanism,so as to assess regional climate risks and achieve disaster warnings.Based on the daily temperature and precipitation data of 56 meteorological stations from 1961 to 2019,this paper analyzes changes in extreme climate indexes and their correlation with large-scale circulation index in the region by using Mann-Kendall,Sen's slope estimation,Pettitt test,and Pearson correlation analysis.The results show that:① The extreme warm index and the extreme precipitation intensity index (RX1day,R95p,R99p,and SDII) increase significantly,while the cold index (CSDI、FD、ID、TN10p、TX10p) and the number of continuous humid days decrease greatly.In terms of different seasons,the warming amplitude of most of the extreme temperature indexes in winter is higher than that in summer,and the precipitation intensity increases gradually in summer and autumn but decreases slightly in winter.② Spatially,the diurnal temperature range in the north of the Qinghai-Tibet Plateau is higher than that in the south,and the frequency of extremely high-temperature rises,with the high temperature appearing mostly in arid valleys in the south and east of the Qinghai-Tibet Plateau.The precipitation intensity is high in the south and west of the Hengduan Mountains,and persistent precipitation is strong in the Yalong River basin and the upper reaches of the Jinsha River in the north.③ Extreme climate indexes and south China sea summer monsoon index (SCSMI) are significantly correlated in the same year.In addition,there is a one-year response lag between the extreme precipitation index and Arctic oscillation (AO),North Atlantic oscillation (NAO),and Pacific decadal oscillation (PDO).The above analysis shows that the Grand Shangri-La region generally shows warming and humid climate characteristics.The frequency of heavy precipitation in flood season and warm winter events increases and is closely related to large-scale circulation.…”
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