bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stochastic approach to study control strategies of Covid-19 pandemic in India
Authors: Chanu Athokpam Langlen , Singh R. K. Brojen 
Published: August 2020

AbstractIndia is one of the severely affected countries by the Covid-19 pandemic at present. Within the stochastic framework of the SEQIR model, we studied publicly available data of the Covid-19 patients in India and analysed possible impacts of quarantine and social distancing as controlling strategies for the pandemic. Our stochastic simulation results clearly show that proper quarantine and social distancing should be maintained right from the start of the pandemic and continued until its end for effective control. This calls for a more disciplined social lifestyle in the future. However, only social distancing and quarantine of the exposed population are found not sufficient enough to end the pandemic in India. Therefore, implementation of other stringent policies like complete lockdown as well as increased testing of susceptible populations is necessary. The demographic stochasticity, which is quite visible in the system dynamics, has a critical role in regulating and controlling the pandemic.
Processing in the food chain: do cereals have to be processed to add value to the human diet?
Authors: Thielecke Frank , Lecerf Jean-Michel , Nugent Anne P. 
Published: August 2020

AbstractCereals and cereal products have a long history of use by humans. Recently, there have been some discussions regarding level of processing as a descriptor to define food products, including cereal-based foods. This has led to a somewhat emotional debate on food processing. Given the widespread inclusion of cereals in the diet, this review highlights the history of cereal processing as well as their consumption by humans. It provides an evidence-based discussion on their production, contribution to human nutrition, benefits and disadvantages. The present review illustrates the impact of processing on nutrients, as well as non-nutrients specifically in bread and ready-to-eat breakfast cereals (RTEC), two cereal-based foods which are widely consumed and integral parts of food-based dietary guidelines globally. As a category, most cereals must be processed in some way to enable consumption by humans as we are not equipped to survive exclusively on raw grains. Even thousands of years ago, the processing of cereals was a common practice by humans, turning raw grains into palatable, safe and nutritious foods. Modern processes for cereal-based products are efficient in providing safe and good-quality products to satisfy population needs, as well as helping to meet consumer expectations by providing a range of foods that allows for a varied and balanced diet. Today, RTEC and bread make significant contributions to dietary energy and nutrient requirements and underpin food-based dietary guidance globally. They have been positively linked with intake of dietary fibre, vitamins and minerals, especially when consumed as whole grain.
Distribution, abundance, and on-land threats to Cabo Verde seabirds
Authors: SEMEDO GILSON , PAIVA VITOR H. , MILITÃO TERESA , RODRIGUES ISABEL , DINIS HERCULANO A. , PEREIRA JORGE , MATOS DIANA , CEIA FILIPE R. , ALMEIDA NATHALIE M. , GERALDES PEDRO , SALDANHA SARAH , BARBOSA NADITO , HERNÁNDEZ-MONTERO MARCOS , FERNANDES CAROLINO , GONZÁLEZ-SÓLIS JACOB , RAMOS JAIME A. 
Published: August 2020

SummaryPelagic seabird populations have declined strongly worldwide. In the North Atlantic there was a huge reduction in seabird populations following the European colonization of the Azores, Madeira and Canary archipelagos but information on seabird status and distribution for the subtropical region of Cabo Verde is scarce, unavailable or dispersed in grey literature. We compiled and compared the historical and current distribution of all seabird species breeding in the Cabo Verde archipelago, updated their relative abundance, investigated their inland habitat preferences, and reviewed their threats. Currently, the breeding seabird community in Cabo Verde is composed of Bulwer’s Petrel Bulweria bulwerii, White-faced Storm-petrel Pelagodroma marina aedesorum, Cape Verde Shearwater Calonectris edwardsii, Cape Verde Storm-petrel Hydrobates jabejabe, Cape Verde Petrel Pterodroma feae, Boyd's Shearwater Puffinus lherminieri boydi, Brown Booby Sula leucogaster, and Red-billed Tropicbird Phaethon aethereus. One breeding species is currently extinct, the Magnificent Frigatebird Fregata magnificens. The relative abundance of Cape Verde Shearwater, Boyd’s Shearwater, Cape Verde Petrel, and Cape Verde Storm-petrel was determined from counts of their nocturnal calls in Santo Antão, São Vicente, Santa Luzia, Branco, Raso and São Nicolau. Cape Verde Petrel occurred only on mountainous islands (Santo Antão, São Nicolau, Santiago, and Fogo) from mid-to high elevations. Larger species such as the Cape Verde Shearwater and Boyd’s Shearwater exhibited a wider distribution in the archipelago, occurring close to the coastline but at lower densities on populated islands. Small procellariforms such as the Cape Verde Storm-petrel occurred at high densities only on rat-free islets and in steep areas of main islands where introduced cats and rats are unlikely to occur. The main threats to seabird populations in Cabo Verde range from predation by introduced predators, habitat alteration or destruction, and some residual human persecution.
The religious/spiritual beliefs and needs of cancer survivors who underwent cancer-directed surgery
Authors: Palmer Kelly Elizabeth , Paredes Anghela Z. , DiFilippo Stephanie , Hyer Madison , Tsilimigras Diamantis I. , Rice Daniel , Bae Junu , Pawlik Timothy M. 
Published: August 2020

AbstractObjectiveWe sought to characterize patients’ preferences for the role of religious and spiritual (R&S) beliefs and practices during cancer treatment and describe the R&S resources desired by patients during the perioperative period.MethodA cross-sectional survey was administered to individuals who underwent cancer-directed surgery. Data on demographics and R&S beliefs/preferences were collected and analyzed.ResultsAmong 236 participants, average age was 58.8 (SD = 12.10) years; the majority were female (76.2%), white (94.1%), had a significant other or spouse (60.2%), and were breast cancer survivors (43.6%). Overall, more than one-half (55.9%) of individuals identified themselves as being religious, while others identified as only spiritual (27.9%) or neither (16.2%). Patients who identified as religious wanted R&S integrated into their care more often than patients who were only spiritual or neither (p < 0.001). Nearly half of participants (49.6%) wanted R&S resources when admitted to the hospital including the opportunity to speak with an R&S leader (e.g., rabbi; 72.1%), R&S texts (64.0%), and journaling materials (54.1%). Irrespective of R&S identification, 68.0% of patients did not want their physician to engage with them about R&S topics.Significance of resultsAccess to R&S resources is important during cancer treatment, and incorporating R&S into cancer care may be especially important to patients that identify as religious. R&S needs should be addressed as part of the cancer care plan.
Dynamic behavioral modeling of RF power amplifiers based on decomposed piecewise machine learning technique
Authors: Cai Jialin , King Justin B. , Yu Chao , Pan Baicao , Sun Lingling , Liu Jun 
Published: August 2020

AbstractMulti-device radio frequency power amplifiers (PAs) often exhibit strongly non-linear behavior in combination with long-term memory effects, leading to an extremely challenging model development cycle. This paper presents a new, dynamic, behavioral modeling technique, based on a combination of the real-valued decomposed piecewise method and concepts from the field of machine learning. The underlying theory of the proposed modeling technique is provided, along with a detailed modeling procedure. Experimental results show that the proposed decomposed piecewise support vector regression (SVR) model leads to significant performance improvements when compared with standard SVR models for both single transistor and multi-transistor PAs. Different model thresholds are used to test the proposed model performance for both PA types. For the single-transistor PA, modeled using only one partition, an approximately 10 dB normalized mean square error (NMSE) reduction is seen when compared with the standard SVR model. For the same PA, when utilizing two partitions, the reduction improves to 14 dB. When applied to a multi-device Doherty PA, the NMSE between model and measurement data is −50 dB, representing more than 10 dB improvement compared with the standard SVR model.
Lycopene hampers lung injury due to skeletal muscle ischemia-reperfusion in rat model
Authors: Kirisci Mehmet , Guneri Bulent , Seyithanoglu Muhammed , Kazanci Ulku 
Published: August 2020

Abstract. This study investigates lycopene’s preventive efficacy in skeletal muscle ischemia-reperfusion (I/R) induced lung injury. Thirty-two rats were randomly assigned to control group, lycopene group, I/R group and I/R + lycopene group. In the lycopene and I/R + lycopene groups, the rats initially received 10 mg/kg/day lycopene orally for 15 days. Then, dissection around the abdominal aorta was performed in all rats under general anesthesia. The aorta was clamped at the infrarenal level in the I/R group and I/R + lycopene group for two hours before two hours of reperfusion. The mean serum levels of malondialdehyde (53.0 ± 20.14 nmol/mL) and superoxide dismutase (1.03 ± 0.16 U/mL) were higher and lower in the I/R group than the other three groups, respectively (p < 0.001). The mean serum IMA level of I/R + lycopene group (0.42 ± 0.04 abs/u) was lower than the I/R group (0.47 ± 0.04 abs/u) (p = 0.015). The mean tissue malondialdehyde levels of I/R group (69.10 ± 11.55 nmol/mL) and I/R + lycopene group (68.36 ± 21.17 nmol/mL) were high compared to the control group (49.87 ± 6.52 nmol/mL) and lycopene group (47.82 ± 4.44 nmol/mL) (p = 0.002). The mean tissue glutathione peroxidase (p < 0.001) and superoxide dismutase (p = 0.001) levels of I/R group (121.81 ± 43.59 nmol/mL and 25.17 ± 8.69 U/mL) were low compared to the control group (236.12 ± 18.01 nmol/mL and 46.30 ± 5.17 U/mL), lycopene group (227.52 ± 16.92 nmol/mL and 45.82 ± 4.02 U/mL), and I/R + lycopene group (176.02 ± 24.27 nmol/mL and 35.20 ± 4.85 U/mL). The histopathological analyses of I/R + lycopene group indicated less significant changes than the control group. Tissue damage in the I/R + lycopene group was less prominent than the I/R group. These findings suggest oral lycopene supplementation as a promising prevention against skeletal muscle I/R caused lung injury.
Machine Learning Technique Using the Signature Method for Automated Quality Control of Argo Profiles
Authors: Sugiura Nozomi , Hosoda Shigeki 
Published: August 2020

AbstractA profile from the Argo ocean observation array is a sequence of three‐dimensional vectors composed of pressure, salinity, and temperature, appearing as a continuous curve in three‐dimensional space. The shape of this curve is faithfully represented by a path signature, which is a collection of all the iterated integrals. Moreover, the product of two terms of the signature of a path can be expressed as the sum of higher‐order terms. As a result of this algebraic property, a nonlinear function of the profile shape can always be represented by a weighted linear combination of the iterated integrals, which enables machine learning of a complicated function of the profile shape. In this study, we performed supervised learning for existing Argo data with quality control flags by using the signature method and demonstrated the estimation performance by cross validation. Unlike rule‐based approaches, which require several complicated and possibly subjective rules, this method is simple and objective in nature because it relies only on past knowledge regarding the shape of profiles. This technique is critical for realizing automatic quality control for Argo profile data.
Impact of Assimilation of Moored Velocity Data on Low‐Frequency Current Estimation in Northwestern Tropical Pacific
Authors: Liu Danian , Wang Fan , Zhu Jiang , Wang Dongxiao , Wang Jianing , Xie Qiang , Shu Yeqiang 
Published: August 2020

AbstractThis study investigates the impact of assimilation of Northwestern Tropical Pacific Ocean (NWTPO) moored currents observation system on low‐frequency (over a period of more than 90 days) current estimation. A low‐frequency scale‐selective ensemble optimal interpolation (EnOI) scheme is designed to assimilate the horizontally sparse moored currents into an eddy‐permitting ocean model. In this assimilation scheme, low‐frequency current signals are selected by removing intraseasonal signals in both observation and ensemble data, and a horizontal spatial filter is implemented to match the model forecast to the low‐frequency ensemble and observation. The assimilation of currents efficiently resolves simulated low‐frequency current displacements, especially for the Equatorial Undercurrent (EUC), the North Equatorial Countercurrent (NECC), and the North Equatorial Current (NEC). More realistic intensities of the NWTPO low‐frequency currents are also reproduced. With respect to the moored velocity profiles, the root‐mean‐square error (RMSE) of the simulated low‐frequency zonal velocity above a 500‐m depth is reduced from 10.9 to 5.8 cm/s using this low‐frequency EnOI scheme. The low‐frequency variation of NWTPO currents is reproduced by correcting the structures of different baroclinic modes. The increments of zonal velocities mainly correspond to the first baroclinic mode for the NECC and NEC, while for the EUC, they correspond to the leading three and higher‐order baroclinic modes. The improvements of the simulated stratification and pressure gradient remark the role of the assimilation of moored currents in adjusting available potential energy.
Interdecadal Variation and Causes of Drought in Northeast China in Recent Decades
Authors: Chen Dong , Gao Ya , Sun Jianqi , Wang Huijun , Ma Jiehua 
Published: August 2020

AbstractThis paper focuses on the interdecadal variation in drought in Northeast China (NEC) in recent decades. Two dry and wet periods have occurred in the past 61 years (1950–2010). The mechanism underlying the interdecadal variation in drought in NEC is further analyzed; the results indicate that the direct cause is the interdecadal change of the Okhotsk High (OH). A strong (weak) OH is conducive (detrimental) to the convergence of cold air transported by northeast cold vortex and water vapor from the east of NEC, eventually leading to an increase (decrease) in precipitation. Furthermore, we seek to understand why OH displays such an interdecadal variation. The interdecadal increases and decreases in sea ice in the Barents Sea and the Kara Sea explain most of the interdecadal change of the OH. When more sea ice is present in this area, more energy is transferred eastward from the sea ice area to Northeast Asia, weakening the OH; in contrast, less sea ice strengthens the OH. Sensitivity simulations by Community Atmosphere Model, version 4 (CAM4) using sea ice forcing in the Barents Sea and the Kara Sea yield similar results to the observed data, further confirming our conclusion. The results of this paper provide a new understanding of the interdecadal variation in drought in NEC, and it may help to improve our ability to predict drought and provide early warning in the future.
Basal Channel Evolution on the Getz Ice Shelf, West Antarctica
Authors: Chartrand A. M. , Howat I. M. 
Published: August 2020

AbstractIce shelves regulate the ice‐ocean boundary by buttressing the flux of grounded ice into the ocean and are vulnerable to basal melt, which can lead to ice‐shelf thinning and loss of buttressing. Localized, enhanced basal melt can form basal channels, which may impact ice‐shelf stability. Here we investigate the evolution of the Getz Ice Shelf Basal Channel (GISBC) in West Antarctica using a novel suite of geophysical data, including Reference Elevation Model of Antarctica (REMA) digital elevation models, ICESat‐1 and ‐2 altimetry, Operation IceBridge altimetry and radar, and InSAR‐derived ice flow velocities. We describe basal‐channel and ice‐shelf change in both Eulerian and Lagrangian frameworks and document changes in the channel's shape and its lateral motion and estimate basal melting. We find a high degree of spatial and temporal variability in GISBC evolution, with several locations of active basal incision. Incision occurs at rates of up to 22 m a−1 at the head of the channel, which is extending toward the grounding line at a rate of ~1 km a−1. Freeboard heights over areas of rapid basal incision are out of hydrostatic equilibrium. The GISBC is also migrating to the northwest, perpendicular to the northeasterly ice flow direction, at an average rate of 70–80 m a−1. The spatiotemporal variability of evolution of the GISBC motivates further characterization of basal channels and their impact on ice‐shelf stability, so that these effects may more readily be incorporated in ice‐ocean models predicting ice flow and sea‐level rise.
Regional‐Scale Investigation of Preconditioning Factors of Rock Slope Instabilities in NW Bhutan
Authors: Dini Benedetta , Aaron Jordan , Manconi Andrea , De Palezieux Larissa , Leith Kerry , Loew Simon 
Published: August 2020

AbstractWe present a new inventory of large rock slope instabilities and an extensive structural data set for northwestern Bhutan. Our data set is largely based on satellite observations, such as optical images and high‐resolution digital surface models, complemented with field observations. Kinematic analyses over seven different structural domains recognized in the study region were carried out to investigate structural control over the landslide distribution at a regional scale. In order to account for the sampling heterogeneity in the different data sets, a weighting system to the structural data is proposed. The results show that structural control exists in five out of seven domains, with foliation strongly influencing the sliding mechanisms. A lithological control appears also evident, with sedimentary rocks showing the highest landslide densities in the region. This study demonstrates how methodologies built on remote sensing data are suitable to investigate landslide predisposition at regional scales especially in largely inaccessible areas.
Characteristics of Aerosol WSI With High‐Time‐Resolution Observation Over Arctic Ocean
Authors: Yu Congcong , Yan Jinpei , Zhang Honghai , Lin Qi , Zheng Hongguo , Zhong Xinlin , Zhao Suli , Zhang Miming , Zhao Shuhui , Li Xiaojun 
Published: August 2020

AbstractIn the current study, the characteristics of aerosol water‐soluble ions (WSI) were investigated via high‐time‐resolution observations as part of the nineth Chinese National Arctic Research Expedition (CHINARE) in 2018. WSI, including Cl−, SO42−, NO3−, NO2−, F−, Br−, Na+, NH4+, K+, Ca2+, Mg2+, and Methanesulfonic acid (MSA−), were measured using an online ion chromatography system deployed on the Xuelong research vessel. Moreover, aerosol particle sources were analyzed in order to clarify the impacts of marine emissions and anthropogenic sources on atmospheric aerosols in the Arctic Ocean. Sea salt ions (Na+ and Cl−) were observed to be the most dominant compounds, accounting for 53.5% of the total WSI, followed by the secondary ions (SO42−, NH4+, and NO3−), which accounted for 36.0%. Furthermore, similar spatial distributions of MSA− and SO42− were observed during the measurement period. High levels of Na+ were observed in the areas close to the land and Central Arctic Ocean, attributed to wind speed. In the open ocean, NH4+ and NO3− concentrations were extremely low, however, high levels of NH4+ and NO3− were observed in the coastal area close to Alaska and Russia. This indicates that these aerosol particles were influenced by the anthropogenic sources in these regions. In addition, mean fluxes of NO3− and NH4+ were determined as 42 ± 41 and 347 ± 166 μg m−2 day−1 in the Arctic Ocean, respectively.
Intraseasonal Surface Salinity Variability and the MJO in a Climate Model
Authors: Zhu Jieshun , Kumar Arun , Wang Wanqiu 
Published: August 2020

AbstractDue to the sparsity of ocean observations, understanding inconsistencies exist even in qualitative respect about the mechanisms of intraseasonal sea surface salinity (SSS) over the Indo‐Pacific basin. In this study, a quantitative diagnostic of salinity/freshwater budgets related to the Madden‐Julian oscillation (MJO) was conducted based on model simulations. The model applied is a modified version of the NCEP Climate Forecast System, version 2. The application of a coupled model other than ocean‐only models is one of the unique aspects of this study. The model modifications resulted in a more realistic MJO simulation and a better simulation of intraseasonal SSS variability as validated against the Aquarius estimates. The mechanisms of the MJO‐related SSS variability are further explored by conducting a salinity budget analysis over the mixed layer. The analysis indicates a strong spatial variation of dominant physical processes controlling the local SSS variability. For example, while the role of surface fluxes dominates in the western Indian basin, oceanic advection plays an important role in the eastern Indian and western Pacific oceans.
In Situ Investigations of Dust Above the Lunar Terminator at the Chang'E‐3 Landing Site in the Mare Imbrium
Authors: Li Detian , Wang Yi , Zhang He , Wang Xiaojun , Wang Yongjun , Sun Zezhou , Zhuang Jianhong , Li Cunhui , Chen Liping , Zhang Haiyan , Zou Xin , Zong Chao , Lin Hongyu , Ma Jinan , Li Xiongyao , Cui Xinyu , Yao Rijian , Wang Xilai , Gao Xin , Yang Shengsheng , Wang Xianrong , Zhang Biao 
Published: August 2020

AbstractIt was suspected that the horizon glow observed over the lunar terminator was caused by electrostatically levitated dust particles, but do high concentrations of dust particles really exist over the lunar terminator? This is an important question that cannot be answered even today. In fact, no in situ investigations about the lunar dust have been conducted on lunar surface since Apollo. Here we first report in situ investigations of lunar dust at Chang'E‐3 (CE‐3) landing site using solar cell probe (SCP). The results show that, different from Apollo's observation, the short‐circuit current of SCP did not decrease sharply during the first several lunations except the first lunation, indicating the recently developed minimalist qualitative model of sunrise‐driven dust transport might not be applicable at the geologically young CE‐3 landing site. In addition, within detector's detection limit, no abrupt changes in dust concentration were observed above the sharp sunlight/shadow boundaries on lunar surface.
Liquid‐Vapor Coexistence and Critical Point of Mg2SiO4 From Ab Initio Simulations
Authors: Townsend Joshua P. , Shohet Gil , Cochrane Kyle R. 
Published: August 2020

AbstractHypervelocity impact‐driven vaporization is characteristic of late‐stage planet formation. Yet the behavior and properties of liquid‐vapor mixtures of planetary materials of interest are typically unknown. Multiphase equations of state used in hydrodynamic simulations of planet impacts therefore lack reliable data for this important phenomenon. Here, we present the first constraints on the liquid‐vapor critical point and coexistence phase boundary of Mg2SiO4 computed from ab initio molecular dynamics simulations. We found that the vapor is depleted in magnesium and enriched in silica and oxygen, while the coexisting liquid is enriched in magnesium and depleted in oxygen, from which we infer vaporization is incongruent. The critical point was estimated from an equation of state fit to the data. The results are in line with recent calculations of MgSiO3 and together confirm that extant multiphase equation of state (EOS) models used in planetary accretion modeling significantly underestimate the amount of supercritical material postimpact.