bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the impacts of major cyclonic catastrophes in coastal Bangladesh using geospatial techniques
Authors: Rahaman Mashoukur , Esraz-Ul-Zannat Md. 
Published: July 2021

AbstractCyclonic catastrophes frequently devastate coastal regions of Bangladesh that host around 35 million people which represents two-thirds of the total population. They have caused many problems like agricultural crop loss, forest degradation, damage to built-up areas, river and shoreline changes that are linked to people’s livelihood and ecological biodiversity. There is an absence of a comprehensive assessment of the major cyclonic disasters of Bangladesh that integrates geospatial technologies in a single study. This study aims to integrate geospatial technologies with major disasters and compares them, which has not been tried before. This paper tried to identify impacts that occurred in the coastal region by major catastrophic events at a vast level using different geospatial technologies. It focuses to identify the impacts of major catastrophic events on livelihood and food production as well as compare the impacts and intensity of different disasters. Furthermore, it compared the losses among several districts and for that previous and post-satellite images of disasters that occurred in 1988, 1991, 2007, 2009, 2019 were used. Classification technique like machine learning algorithm was done in pre- to post-disaster images. For quantifying change in the indication of different factors, indices including NDVI, NDWI, NDBI were developed. “Change vector analysis” equation was performed in bands of the images of pre- and post-disaster to identify the magnitude of change. Also, crop production variance was analyzed to detect impacts on crop production. Furthermore, the changes in shallow to deep water were analyzed. There is a notable change in shallow to deep water bodies after each disaster in Satkhira and Bhola district but subtle changes in Khulna and Bagerhat districts. Change vector analysis revealed greater intensity in Bhola in 1988 and Satkhira in 1991. Furthermore, over the years 2007 and 2009 it showed medium and deep intense areas all over the region. A sharp decrease in Aus rice production is witnessed in Barishal in 2007 when cyclone “Sidr” was stricken. The declination of potato production is seen in Khulna district after the 1988 cyclone. A huge change in the land-use classes from classified images like water body, Pasture land in 1988 and water body, forest in 1991 is marked out. Besides, a clear variation in the settlement was observed from the classified images. This study explores the necessity of using more geospatial technologies in disastrous impacts assessment around the world in the context of Bangladesh and, also, emphasizes taking effective, proper and sustainable disaster management and mitigation measures to counter future disastrous impacts.
Rainfall on the Greenland Ice Sheet: Present‐Day Climatology From a High‐Resolution Non‐Hydrostatic Polar Regional Climate Model
Authors: Niwano M. , Box J. E. , Wehrlé A. , Vandecrux B. , Colgan W. T. , Cappelen J. 
Published: July 2021

AbstractGreenland ice sheet rainfall is expected to increase under a warming climate. Yet, there have been no active long‐term in‐situ rainfall records on the ice sheet due to observational difficulties. Here, we utilize the state‐of‐the‐art 5 km polar non‐hydrostatic regional climate model NHM‐SMAP to evaluate the ice sheet’s rainfall over 40 years (1980–2019). The largest trends include a fourfold increase in annual rainfall for the northwestern ice sheet; 3.1 Gt year−1 or 12 mm m−2 year−1. September ice‐sheet‐wide rainfall amount and intensity increase by 7.5 Gt month−1 and 20.8 mm h−1 year−1. In the last two decades, the increasing September maximum hourly rainfall rate exceeded 50 mm h−1 six times. The increased surface water delivery has numerous implications, including for snow metamorphism and ice flow dynamics.
Dynamical Coupling Between the Low‐Latitude Lower Thermosphere and Ionosphere via the Nonmigrating Diurnal Tide as Revealed by Concurrent Satellite Observations and Numerical Modeling
Authors: Gasperini Federico , Azeem Irfan , Crowley Geoff , Perdue Michael , Depew Matthew , Immel Thomas , Stromberg Erik , Fish Chad , Frazier Crystal , Reynolds Adam , Swenson Anthony , Tash Ted , Gleason Russell , Blay Ryan , Maxwell Jordan , Underwood Keith , Frazier Christian , Jensen Scott 
Published: July 2021

AbstractThe diurnal eastward‐propagating tide with zonal wavenumber 3 (DE3) is an important tidal component due to its ability to effectively couple the ionosphere‐thermosphere with the tropical troposphere. In this work, we present the first results of a prominent zonal wavenumber‐4 (WN4) structure in the low‐latitude ionosphere observed by the Scintillation Observations and Response of The Ionosphere to Electrodynamics (SORTIE) CubeSat mission during May 27–June 5, 2020. Least squares analyses of concurrent in situ ion number density measurements from the SORTIE and the Ionospheric Connection Explorer satellites near 420 and 590 km show this pronounced WN4 to be driven by DE3. Thermosphere Ionosphere Mesosphere Energetics Dynamics Sounding of the Atmosphere using Broad band Emission Radiometry temperatures and Specified‐Dynamics Whole Atmosphere Community Climate Model with thermosphere and ionosphere eXtension output demonstrate that the ionospheric WN4 structure is driven by DE3 propagating from the lower thermosphere.
Projections of Global Delta Land Loss From Sea‐Level Rise in the 21st Century
Authors: Nienhuis Jaap H. , van de Wal Roderik S. W. 
Published: July 2021

AbstractRiver deltas will likely experience significant land loss because of relative sea‐level rise (RSLR), but predictions have not been tested against observations. Here, we use global data of RSLR and river sediment supply to build a model of delta response to RSLR for 6,402 deltas, representing 86% of global delta land. We validate this model against delta land area change observations from 1985–2015, and project future land area change for IPCC RSLR scenarios. For 2100, we find widely ranging delta scenarios, from +94 ± 125 (2 s.d.) km2 yr−1 for representative concentration pathway (RCP) 2.6 to −1,026 ± 281 km2 yr−1 for RCP8.5. River dams, subsidence, and sea‐level rise have had a comparable influence on reduced delta growth over the past decades, but if we follow RCP8.5 to 2100, more than 85% of delta land loss will be caused by climate‐change driven sea‐level rise, resulting in a loss of ∼5% of global delta land.
Observational Evidence of Lightning‐Generated Ultrafine Aerosols
Authors: Wang Honglei , Pei Yuxuan , Yin Yan , Shen Lijuan , Chen Kui , Shi Zheng , Chen Jinghua 
Published: July 2021

AbstractHigh temperature and pressure during lightning can quickly trigger multiple chemical reactions in the air, resulting in considerable impacts on aerosols, atmospheric chemistry, and air quality. Here, new particle formation (NPF) events motivated by lightning flashes were captured during an observation at Mt. Tai in summer 2017 for the first time. Numerous ultrafine particles were formed during the lightning events, leading to increases in nucleation and Aitken mode aerosols by 18.9 and 5.6 times, respectively. The formation rate (FR) and growth rate (GR) during lightning‐generated NPF were 67.1 cm−3·s−1 and 20.1 nm·h−1, which were 61 and 1.7 times higher than the averaged daytime NPF. Moreover, chemical composition of aerosols was strongly influenced by lightning NOx. Nitrate aerosol (NO2− and NO3−) signals intensified significantly (by 11.9% and 12.4%, respectively) during the lightning‐generated NPF, which contrasted with the sulfate aerosols measured in previous studies (non‐lightning NPF). Meanwhile, lightning contributed noticeably to surface NO2 concentrations. Accompanying the uplifting airflows before rainfall, surface air pollutants (SO2, NH3, and NOx, etc.) can be transported above the top of the planet boundary layer, which plays an important role in NPF. The NPF in the hot lightning channels resulted from pollution NOx and lightning NOx, with the latter dominating. Finally, lightning‐generated pollutants, including NOx and aerosols, were delivered down to the surface with descending airflows.
Oscillations and Stability of the Jupiter Polar Cyclones
Authors: Mura A. , Adriani A. , Bracco A. , Moriconi M. L. , Grassi D. , Plainaki C. , Ingersoll A. , Bolton S. , Sordini R. , Altieri F. , Ciarravano A. , Cicchetti A. , Dinelli B. M. , Filacchione G. , Migliorini A. , Noschese R. , Piccioni G. , Scarica P. , Sindoni G. , Stefani S. , Tosi F. , Turrini D. 
Published: July 2021

AbstractJuno discovered the circumpolar cyclones polygons on Jupiter in 2017. Fundamental questions regarding Jovian cyclogenesis concern the formation mechanism and whether these cyclones are deep or shallow. Recent data by Juno/JIRAM infrared camera show that any change is an extremely unlikely event on an annual scale. Only once, in 2019, a sixth cyclone joined the pentagonal structure in the South, but it disappeared after 2 months without merging with the pre‐existing cyclones; disappearance or creation of stable cyclones has never been observed. Additionally, the rotation speeds of the north and south polygons as a whole are not compatible with the shallow hypothesis; both structures drift at a much smaller rate than the typical scale velocities on Jupiter surface, and differ at the two poles. Cyclones oscillate around what may seem like equilibrium positions, and these oscillations tend to propagate from one cyclone to another. These oscillations have almost equal timescales, and here we investigate the possible implications of such similarity.
Estimating Ice Discharge at Greenland's Three Largest Outlet Glaciers Using Local Bedrock Uplift
Authors: Hansen Karina , Truffer Martin , Aschwanden Andy , Mankoff Kenneth , Bevis Michael , Humbert Angelika , van den Broeke Michiel R. , Noël Brice , Bjørk Anders , Colgan William , Kjær Kurt H. , Adhikari Surendra , Barletta Valentina , Khan Shfaqat A. 
Published: July 2021

AbstractWe present a novel method to estimate dynamic ice loss of Greenland's three largest outlet glaciers: Jakobshavn Isbræ, Kangerlussuaq Glacier, and Helheim Glacier. We use Global Navigation Satellite System (GNSS) stations attached to bedrock to measure elastic displacements of the solid Earth caused by dynamic thinning near the glacier terminus. When we compare our results with discharge, we find a time lag between glacier speedup/slowdown and onset of dynamic thinning/thickening. Our results show that dynamic thinning/thickening on Jakobshavn Isbræ occurs 0.87 ± 0.07 years before speedup/slowdown. This implies that using GNSS time series we are able to predict speedup/slowdown of Jakobshavn Isbræ by up to 10.4 months. For Kangerlussuaq Glacier the lag between thinning/thickening and speedup/slowdown is 0.37 ± 0.17 years (4.4 months). Our methodology and results could be important for studies that attempt to model and understand mechanisms controlling short‐term dynamic fluctuations of outlet glaciers in Greenland.
Characterization of High‐m ULF Wave Signatures in GPS TEC Data
Authors: Zhai Changzhi , Shi Xueling , Wang Wenbin , Hartinger Michael D. , Yao Yibin , Peng Wenjie , Lin Dong , Ruohoniemi J. Michael , Baker Joseph B. H. 
Published: July 2021

AbstractGPS total electron content (TEC) measurements were used to investigate high‐m ultralow frequency (ULF) waves during the recovery phase of a geomagnetic storm. ULF wave signals in TEC data show high coherence and significant common power in the wavelet coherence and cross wavelet transform analyses with magnetic field radial component data from GOES‐15. They did not cause significant ionospheric scintillation or ground magnetic signatures due to ionospheric screening effects. An automatic identification procedure is developed to identify ULF wave signature in TEC data from 10 GPS receivers on January 25, 2016. The waves were mainly distributed on the dayside and post dusk sector from ∼64° to ∼71° magnetic latitude. This is the first time that the large‐scale 2D spatial structure and temporal evolution of high‐m ULF waves are revealed, which demonstrates TEC measurements as an effective high‐m ULF wave remote sensing tool.
Stronger Intraseasonal Variability Observed Below the Seasonal Thermocline in the Kuroshio East of Taiwan During 2014 and 2015
Authors: Wang Qingye , Yuan Xin , Hu Dunxin , Sasaki Hideharu 
Published: July 2021

AbstractIntraseasonal variability in the Kuroshio east of Taiwan was studied using moored observations at 23°N, 122°E from November 17, 2014 to September 5, 2015, high‐resolution ocean model data, and altimetry data. It is found for the first time that the observed meridional velocity has a peak signal at 50–60 days with a significant maximum variation at 200–600 m depth. Model outputs show that the 50–60‐day variability at the mooring station is related to meandering of the Kuroshio at 23°N. Both surface eddies, which can extend downward to ∼1,000 m depth, and coastal cold water upwelling associated with cyclonic eddies from deep layers can greatly change the isopycnal slope below ∼200 m depth at 23°N, 122°E, and their joint effect results in the maximum variation at 200–600 m depth. Ocean eddies southeast of Taiwan propagate northward along the current axis of the Kuroshio and have a large impact on intraseasonal variability. Case analysis indicates that the formation of ocean eddies or upwelling near the coast may be related to the Lüdao and Lanyu islands southeast of Taiwan or Kuroshio transport along the southern tip of Taiwan. In addition, the evolution of subsurface meridional velocity from mooring observations is inconsistent with that of the surface but is closely related to the evolution of local temperature below the seasonal thermocline. The maximum intraseasonal variability below the seasonal thermocline highlights the complex dynamics in the Kuroshio east of Taiwan.
Regolith Properties in the Chang'E‐5 Landing Region of the Moon: Results From Multi‐Source Remote Sensing Observations
Authors: Jia Bojun , Fa Wenzhe , Xie Minggang , Tai Yushan , Liu Xiaofeng 
Published: July 2021

AbstractIn December 2020, China's Chang'E‐5 (CE‐5) spacecraft successfully collected 1.731 kg samples from Oceanus Procellarum on the Moon's nearside, becoming the first lunar sample return mission since Luna 24 in 1976. These samples, collected from one of the youngest mare basalt units within the Procellarum KREEP Terrain, are critical to deciphering several fundamental questions of the Moon. In order to provide geologic context for interpreting the returned samples, we conducted a comprehensive analysis of regolith properties in the landing region using optical, topographic, multispectral, thermal, and radar observations. The CE‐5 landing site is within a flat, young mare basalt unit with intermediate titanium. A ballistic sedimentation model suggests that ∼98% of the surface regolith are local materials. The dielectric permittivity of the regolith is estimated to be 2.96 + i0.03 based on its composition and porosity. Morphologies of small fresh craters identified in high‐resolution optical images show that regolith thickness varies from ∼1.5 to ∼8 m with a median value of ∼5 m, implying a large mean regolith growth rate over the landing region. A comparison between radar image and Lunar Reconnaissance Orbiter Diviner surface rock abundance (RA) map indicates that subsurface rocks play a significant role in producing the observed radar backscatter. Further analysis of the radar echo suggests that subsurface RA is ∼0.47%–0.88% if the effective size is 3 cm, which can explain the shallow sampling depth of the CE‐5 drilling device. All these results provide valuable information for understanding the geological context and properties of the returned regolith samples.
Surface passivation by congeneric quantum dots for high-performance and stable CsPbBr3-based photodetectors
Authors: Yan Shikai , Tang Sheng , Luo Manman , Xue Lu , Liu Shilin , Elemike Elias Emeka , Bae Byung Seong , Akram Javed , Chen Jing , Zhao Zhiwei , Zhu Zhuoya , Zhang Xiaobing , Lei Wei , Li Qing 
Published: July 2021

A facile and effective surface passivation strategy via congeneric quantum dots is demonstrated to produce CsPbBr3 films with improved morphology and reduced defects, enhancing the performance and stability of CsPbBr3-based photodetectors.
Language Profiles and Their Relation to Cognitive and Motor Skills at 30 Months of Age: An Online Investigation of Low-Risk Preterm and Full-Term Children
Authors: Sansavini Alessandra , Zuccarini Mariagrazia , Gibertoni Dino , Bello Arianna , Caselli Maria Cristina , Corvaglia Luigi , Guarini Annalisa 
Published: July 2021

PurposeWide interindividual variability characterizes language development in the general and at-risk populations of up to 3 years of age. We adopted a complex approach that considers multiple aspects of lexical and grammatical skills to identify language profiles in low-risk preterm and full-term children. We also investigated biological and environmental predictors and relations between language profiles and cognitive and motor skills.MethodWe enrolled 200 thirty-month-old Italian-speaking children—consisting of 100 low-risk preterm and 100 comparable full-term children. Parents filled out the Italian version of the MacArthur–Bates Communicative Development Inventories Infant and Toddler Short Forms (word comprehension, word production, and incomplete and complete sentence production), Parent Report of Children's Abilities–Revised (cognitive score), and Early Motor Questionnaire (fine motor, gross motor, perception–action, and total motor scores) questionnaires.ResultsA latent profile analysis identified four profiles:poor(21%), with lowest receptive and expressive vocabulary and absent or limited word combination and phonological accuracy;weak(22.5%), with average receptive but limited expressive vocabulary, incomplete sentences, and absent or limited phonological accuracy;average(25%), with average receptive and expressive vocabulary, use of incomplete and complete sentences, and partial phonological accuracy; andadvanced(31.5%), with highest expressive vocabulary, complete sentence production, and phonological accuracy. Lower cognitive and motor scores characterized thepoorprofile, and lower cognitive and perception–action scores characterized theweakprofile. Having a nonworking mother and a father with lower education increased the probability of a child's assignment to thepoorprofile, whereas being small for gestational age at birth increased it for theweakprofile.ConclusionsThese findings suggest a need for a person-centered and cross-domain approach to identifying children with language weaknesses and implementing timely interventions. An online procedure for data collection and data-driven analyses based on multiple lexical and grammatical skills appear to be promising methodological innovations.Supplemental Materialhttps://doi.org/10.23641/asha.14818179
5G based Blockchain network for authentic and ethical keyword search engine
Authors: M Poongodi , Malviya Mohit , Hamdi Mounir , V Vijayakumar , Mohammed Mazin Abed , Rauf Hafiz Tayyab , Al‐Dhlan Kawther A. 
Published: July 2021

AbstractThe evolution of 4G telecommunication propagated various resource‐crunched clients to experience rate‐effective resources at ease. However, it extends its underlying centralised architecture, which arouses various challenges correlated with network data availability, network information protection, and operational infrastructure charges. With the recent revolution of telecommunication, 5G networks promised to provide credible schemes like the high quality of service, ultra‐low latency, and much security over the pre‐existing architecture. However, the deployment of end‐to‐end 5G network cutting‐edge systems in the present heterogeneous world limits its core idea of extensive data privacy, native interoperability, risk‐free interference, and radio spectrum sharing. Perhaps, to achieve its true capability, improved versions of blockchain technology could be aligned to strengthen various real‐time complex applications at a flourishing rate. One of the multiplexed real‐time enterprise applications is a keyword search engine where the integrity of user data files and keyword searches are bound to come under cyber hackers. On the one hand, it was found that when a 5G‐based blockchain emulated network gets deployed with intact encryption techniques, the entire system facilitates to give reliable, efficient, and risk‐free keyword search over variegated 5G network data and its complex computational calculations. Consequently, the use of blockchain‐based decentralised cloud orchestration scheme at various levels enabled the architecture to remain incorruptible and protects all the confidential files and keywords in a fully controlled file access environment. The results of the simulation kernel shows that proposed architecture which, when combined with blockchain‐based decentralised cloud orchestration network system, justify all the essential characteristics and effectuates the optimal use of 5G network sharing by each network entity.
Antimicrobial Resistance in Enterobacteriaceae Bacteria Causing Infection in Trauma Patients: A 5-Year Experience from a Tertiary Trauma Center
Authors: Katoch Omika , Khurana Surbhi , Mathur Purva , Malhotra Rajesh 
Published: July 2021

Abstract
Introduction Multiple drug resistance emergences among bacteria at an alarming rate worldwide are posing a serious threat to the treatment benefits that have been achieved with antibiotics. This crisis is due to the inappropriate and overuse of existing antibiotics. We evaluated the antimicrobial resistance pattern of Enterobacteriaceae pathogens isolated from intensive care units (ICUs), wards, and outpatient department (OPD) patients.
Objectives The aim of the study is to determine the antimicrobial resistance pattern in bacteria of Enterobacteriaceae family.
Material and Methods This is a retrospective study conducted at a tertiary care level-1 trauma center in the capital city of India. We collected all the retrospective data of 5 years from the laboratory information system software of the microbiology laboratory. The retrospective data included patients’ details, samples detail, organism’s identification, and their antimicrobial susceptibility testing, done by Vitek2 compact system and disk diffusion test according to each year’s Clinical and Laboratory Standards Institute (CLSI) guidelines. This study included the interpretation of zone diameters and minimum inhibitory concentrations of all isolates according to CLSI guidelines, 2018.
Results Among all the Enterobacteriaceae, Klebsiella spp. was the most commonly isolated pathogen, followed by Escherichia coli and Enterobacter spp. in ICUs and wards, while in OPD patients E. coli was the most commonly isolated pathogen, followed by Klebsiella spp. and Enterobacter spp. Enterobacteriaceae isolates remained resistant to all classes of cephalosporins in all settings. In addition, β lactam and β-lactamase inhibitor remained less effective. Carbapenems showed less resistance than quinolones and aminoglycosides. Among the different antimicrobial agents, tigecycline proved most effective in all settings; however, it showed more resistance than other studies.
Conclusion Tigecycline proved effective among different multidrug resistance bacteria. Multidrug resistance in bacteria leads to prolonged hospital stays as well as makes the treatment less cost effective. Proper and judicious use of antimicrobials is the need of the hour.