bluuebunny/crossref_metadata_2025_split huggingface dataset:
Root traits in cover crop mixtures of blue lupin and winter rye
Authors: Kemper Roman , Döring Thomas F. , Legner Nicole , Meinen Catharina , Athmann Miriam 
Published: March 2022

Abstract
Purpose
Mixtures of cover crops are gaining importance in farming systems. While complementarity between species is a potentially important mechanism underlying mixture benefits, there is little quantitative evidence about complementarity of root growth. Therefore, we aimed to gain detailed knowledge about mixture effects of specific root traits.

Methods
Blue lupin (Lupinus angustifolius L.) and winter rye (Secale cereale L.) were grown as sole and intercrops in a two-year organically managed field experiment in Germany. Crops were analysed for shoot biomass and nutrient uptake as well as for root mass density (RMD), root length density (RLD) and specific root length (SRL). We used Fourier transform infrared (FTIR) spectroscopy to discriminate the root mass species-specifically in the mixtures.

Results
In the shoot, overyielding was only found for N and P uptake in the 75:25 mixture of lupin and rye, whereas positive mixture effects of RLD, RMD, and root mass complementarity occurred only in the 50:50 mixture in one year. Consistently positive mixture effects of SRL were found. Root biomass proportion of rye was higher in topsoil, that of lupin higher in subsoil. Vertical niche differentiation in RMD between sole crops and mixtures was not observed.

Conclusion
Among all root traits analysed, consistent mixture effects were observed only for SRL. Mechanisms behind mixture effects of root traits need further research. FTIR spectroscopy discriminated intercrop root mass well. Discrimination of mixture partners’ root length would help to better understand complementarity of root growth in mixtures.
PSII supercomplex disassembly is not needed for the induction of energy quenching (qE)
Authors: Bielczynski Ludwik W. , Xu Pengqi , Croce Roberta 
Published: March 2022

AbstractPhotoprotection by non-photochemical quenching is important for optimal growth and development, especially during dynamic changes of the light intensity. The main component responsible for energy dissipation is called qE. It has been proposed that qE involves the reorganization of the photosynthetic complexes and especially of Photosystem II. However, despite a number of studies, there are still contradictory results concerning the structural changes in PSII during qE induction. The main limitation in addressing this point is the very fast nature of the off switch of qE, since the illumination is usually performed in folio and the preparation of the thylakoids requires a dark period. To avoid qE relaxation during thylakoid isolation, in this work quenching was induced directly on isolated and functional thylakoids that were then solubilized in the light. The analysis of the quenched thylakoids in native gel showed only a small decrease in the large PSII supercomplexes (C2S2M2/C2S2M) which is most likely due to photoinhibition/light acclimation since it does not recover in the dark. This result indicates that qE rise is not accompanied by a structural disassembly of the PSII supercomplexes.
How VEGF-A and its splice variants affect breast cancer development – clinical implications
Authors: Al Kawas Hivin , Saaid Inas , Jank Paul , Westhoff Christina C. , Denkert Carsten , Pross Therese , Weiler Karoline Barbara Stephanie , Karsten Maria Margarete 
Published: March 2022

Abstract

Background
Altered expression levels and structural variations in the vascular endothelial growth factor (VEGF) have been found to play important roles in cancer development and to be associated with the overall survival and therapy response of cancer patients. Particularly VEGF-A and its splice variants have been found to affect physiological and pathological angiogenic processes, including tumor angiogenesis, correlating with tumor progression, mostly caused by overexpression. This review focuses on the expression and impact of VEGF-A splice variants under physiologic conditions and in tumors and, in particular, the distribution and role of isoform VEGF165b in breast cancer.

Conclusions and perspectives
Many publications already highlighted the importance of VEGF-A and its splice variants in tumor therapy, especially in breast cancer, which are summarized in this review. Furthermore, we were able to demonstrate that cytoplasmatic VEGFA/165b expression is higher in invasive breast cancer tumor cells than in normal tissues or stroma. These examples show that the detection of VEGF splice variants can be performed also on the protein level in formalin fixed tissues. Although no quantitative conclusions can be drawn, these results may be the starting point for further studies at a quantitative level, which can be a major step towards the design of targeted antibody-based (breast) cancer therapies.
A longitudinal examination of French and English reading comprehension in French immersion programs in Canada
Authors: Bérubé Daniel , Uchikoshi Yuuko , Marinova-Todd Stefka H. 
Published: March 2022

AbstractParental level of education, instruction time, and amount of language practice that children receive have enhanced our understanding of how bilingual and multilingual children learn to comprehend text. Guided by the simple view of reading and the interdependence hypothesis, this longitudinal study conducted in Canadian French immersion programs examined the (a) within- and cross-language association between oral language skills and reading comprehension of bilingual English–French and multilingual children and (b) patterns of growth, while controlling for possible influences of parental level of education and methods of instruction on reading achievement. The sample included 150 children tested once at the beginning of Grade 4 (T1) and again at the end of Grade 4 (T2) and in Grade 6 (T3). Individual growth modeling revealed that bilingual and multilingual children showed similar development in oral language and reading skills across the timeframe. Moreover, growth in English and French reading comprehension was associated with within-language variables. English reading comprehension in Grade 4 was also associated with cross-language variables, including French listening comprehension and vocabulary knowledge. Reading development in the second and third language is enhanced in contexts where classroom instruction, as well as social, economic, and educational opportunities to learn, is equivalent for all students.
Management of the COVID-19 Pandemic: Analysis of the Perception of Professionals of Emergency Medical Systems in Spain after the First Wave
Authors: Castro Delgado Rafael , Cernuda Martínez José Antonio , Romero Pareja Rodolfo , Cuartas Álvarez Tatiana , Arcos González Pedro 
Published: March 2022

AbstractObjective:The objective of this study was to identify the perceived problems by medical and nursing professionals that have arisen in the Spanish Emergency Medical Services (EMS) as a consequence of the first wave of the severe acute respiratory syndrome-coronavirus-2/SARS-CoV-2 pandemic, as well as the measures or solutions adopted to manage those problems and improve response.Method:This was a cross-sectional study of quantitative and qualitative methodology (“mixed methods”) using a self-administered questionnaire in 23 key informants of EMS of Spain selected by purposeful sampling, followed by the statistical analysis of both types of variables and an integration of the results in the discussion.Results:Common problems had been identified in many EMS, as well as similar solutions in some of them. Among the former, the following had been found: lack of leadership and support from managers, initial shortage of personal protective equipment (PPE), lack of participation in decision making, initial lack of clinical protocols, and slowness and/or lack of adaptability of the system, among others. Among the solutions adopted: reinforcement of emergency call centers, development of specific coronavirus disease 2019 (COVID-19) telephone lines and new resources, personal effort of professionals, new functions of EMS, support to other structures, and reinforcement of the role of nursing.Conclusion:The general perception among the respondents was that there was a lack of support and communication with health care managers and that the staff expertise was not used by policy makers to make decisions adapted to reality, also expressing the need to improve the capacity for analysis of the EMS response. Few respondents reported good overall satisfaction with their EMS response. The EMS adopted different types of measures to adapt to the COVID-19 pandemic.
Strong Equivalence and Program Structure in Arguing Essential Equivalence between Logic Programs
Authors: LIERLER YULIYA 
Published: March 2022

AbstractAnswer set programming is a prominent declarative programming paradigm used in formulating combinatorial search problems and implementing different knowledge representation formalisms. Frequently, several related and yet substantially different answer set programs exist for a given problem. Sometimes these encodings may display significantly different performance. Uncovering precise formal links between these programs is often important and yet far from trivial. This paper presents formal results carefully relating a number of interesting program rewritings. It also provides the proof of correctness of system projector concerned with automatic program rewritings for the sake of efficiency.
High Water Contents in Zircons Suggest Water‐Fluxed Crustal Melting During Cratonic Destruction
Authors: Yang Chuan‐Mao , Xu Yi‐Gang , Xia Xiao‐Ping , Yang Jin‐Hui , Sun Jin‐Feng , Zhang Wan‐Feng , Yang Qing , Yang Ya‐Nan 
Published: March 2022

AbstractWater is essential for the formation of granites, but its origin and role in granite generation (i.e., dehydration vs. water‐fluxed melting) remain uncertain. These issues are addressed by combining water abundances and other geochemical indices in zircons from Late Mesozoic granites generated during the destruction of the North China Craton (NCC). The water contents in zircons from the NCC Early Cretaceous granites (763 ppm, median) are much higher than those of the NCC Jurassic granites (424–513 ppm), upper mantle and continental arc magmas (92–477 ppm). More importantly, the higher water contents in the voluminous Early Cretaceous granites also have higher zircon saturation temperatures, εHf(t), and lower δ18O values. These observations suggest a predominantly mantle origin for the water, and water‐fluxed crustal melting, in which larger water ingression produced more voluminous melts. The high‐water flux was likely related to the subduction of the Paleo‐Pacific Plate, which ultimately destabilized the NCC.
Bending and Collapse: Magnetic Recording Fidelity of Magnetofossils From Micromagnetic Simulation
Authors: Pei Zhaowen , Berndt Thomas A. , Chang Liao , Bai Fan , Williams Wyn , Paterson Greig A. 
Published: March 2022

AbstractMagnetosome chains produced by magnetotactic bacteria are important paleoenvironmental and paleomagnetic recorders. It has been shown that magnetic properties of magnetosome chains are closely related to their morphology and chain structures; however, the in situ structures of magnetosome chains in sediments (magnetofossils) are not known. Magnetosome chains are subject to various deformations after cell dissolution and are therefore unlikely to be fully intact, obscuring their original magnetic signals. Here, we use finite element micromagnetic simulations to quantify changes in magnetic signals in response to chain deformation, in particular, as a function of variable degrees of bending and collapse. Our results indicate that bending/collapse leads to a significant coercivity reduction and domain state transition of the chain. Therefore, hysteresis parameters can be used to assess the degree of chain bending/collapse in magnetofossil‐rich sediments. Calculations of the contributions of chain bending/collapse to the post‐depositional remanent magnetization (pDRM) of magnetofossils indicate that pDRM remains both faithful to the pre‐bending/collapse natural remanent magnetization, and that the remanence of some structurally deformed magnetofossil assemblages remains thermally stable over billion‐year timescales, suggesting that even strongly deformed magnetosome chains in ancient geological materials retain faithful paleomagnetic records and thus have potentials for tracing ancient geomagnetic field variations and microbial activities on early Earth.
Potential Satellite Monitoring of Surface Organic Soil Properties in Arctic Tundra From SMAP
Authors: Yi Yonghong , Chen Richard H. , Kimball John S. , Moghaddam Mahta , Xu Xiaolan , Euskirchen Eugénie S. , Das Narendra , Miller Charles E. 
Published: March 2022

AbstractSurface organic carbon content and soil moisture (SM) represent first‐order controls on permafrost thaw and vulnerability, yet remain challenging to map accurately. Here we explored the links between surface organic soil properties and SM dynamics in the Alaska North Slope through data analysis and process‐based modeling. Our analysis, based on in situ SM and brightness temperature data from the Soil Moisture Active Passive (SMAP) mission, indicated that the SM drydown process in Arctic tundra is closely related to surface soil organic carbon (SOC) properties. More rapid drydown was generally observed in areas with high SOC concentration (SOCC) or low bulk density. The drydown timescale derived from the SMAP polarization ratio (PR) was significantly correlated with SoilGrids surface (0–5 cm) SOCC data (R = −0.54 ∼ −0.68, p < 0.01) at regional scale. To understand the process, we used a coupled permafrost hydrology and microwave emission model to simulate changes in the L‐band PR during the thaw season. The model accounts for the variations in organic soil hydraulic and dielectric properties with SOC content and decomposition state. Model sensitivity runs showed larger L‐band PR decreases during the early thaw season in soils with higher SOCC consistent with the above analysis, whereby highly organic soils (SOCC > 34.8%) drain water more easily with a larger amount of water discharged or lost (through evapotranspiration) relative to soils with less carbon concentration (SOCC < 17.4%). Our findings indicate that satellite L‐band observations are sensitive to tundra SM and carbon properties, and may provide critical constraints on predictions of Arctic permafrost thaw and vulnerability.
Distributed representations of atoms and materials for machine learning
Authors: Antunes Luis M. , Grau-Crespo Ricardo , Butler Keith T. 
Published: March 2022

AbstractThe use of machine learning is becoming increasingly common in computational materials science. To build effective models of the chemistry of materials, useful machine-based representations of atoms and their compounds are required. We derive distributed representations of compounds from their chemical formulas only, via pooling operations of distributed representations of atoms. These compound representations are evaluated on ten different tasks, such as the prediction of formation energy and band gap, and are found to be competitive with existing benchmarks that make use of structure, and even superior in cases where only composition is available. Finally, we introduce an approach for learning distributed representations of atoms, named SkipAtom, which makes use of the growing information in materials structure databases.
Pervasive occurrence of splice-site-creating mutations and their possible involvement in genetic disorders
Authors: Sakaguchi Narumi , Suyama Mikita 
Published: March 2022

AbstractThe search for causative mutations in human genetic disorders has mainly focused on mutations that disrupt coding regions or splice sites. Recently, however, it has been reported that mutations creating splice sites can also cause a range of genetic disorders. In this study, we identified 5656 candidate splice-site-creating mutations (SCMs), of which 3942 are likely to be pathogenic, in 4054 genes responsible for genetic disorders. Reanalysis of exome data obtained from ciliopathy patients led us to identify 38 SCMs as candidate causative mutations. We estimate that, by focusing on SCMs, the increase in diagnosis rate is approximately 5.9–8.5% compared to the number of already known pathogenic variants. This finding suggests that SCMs are mutations worth focusing on in the search for causative mutations of genetic disorders.
A late Middle Pleistocene Middle Stone Age sequence identified at Wadi Lazalim in southern Tunisia
Authors: Cancellieri Emanuele , Bel Hadj Brahim Hedi , Ben Nasr Jaafar , Ben Fraj Tarek , Boussoffara Ridha , Di Matteo Martina , Mercier Norbert , Marnaoui Marwa , Monaco Andrea , Richard Maïlys , Mariani Guido S. , Scancarello Olivier , Zerboni Andrea , di Lernia Savino 
Published: March 2022

AbstractThe late Middle Pleistocene, starting at around 300 ka, witnessed large-scale biological and cultural dynamics in hominin evolution across Africa including the onset of the Middle Stone Age that is closely associated with the evolution of our species—Homo sapiens. However, archaeological and geochronological data of its earliest appearance are scarce. Here we report on the late Middle Pleistocene sequence of Wadi Lazalim, in the Sahara of Southern Tunisia, which has yielded evidence for human occupations bracketed between ca. 300–130 ka. Wadi Lazalim contributes valuable information on the spread of early MSA technocomplexes across North Africa, that likely were an expression of large-scale diffusion processes.
Interaction of multi-walled carbon nanotubes in mineral oil based Maxwell nanofluid
Authors: Hanif Hanifa , Shafie Sharidan 
Published: March 2022

AbstractThe most pressing issue now is to improve the cooling process in an electrical power system. On the other hand, nanofluids are regarded as reliable coolants owing to their exceptional characteristics, which include excellent thermal conductivity, a faster heat transfer rate, and higher critical heat flux. Considering these fascinating properties of nanofluid, this research looks at the flow of mineral oil based Maxwell nanofluid with convective heat. Moreover, introducing heat radiation, viscous dissipation and Newtonian heating add to the novelty of the problem. The coupled partial differential equations supported by the accompanying boundary conditions are numerically solved using an implicit finite difference method. The simulations are carried out using MATLAB software, and the obtained results are illustrated graphically. It is observed that the velocity of fluid increases concernign the relaxation time parameter but decreases against fractional derivative.
Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties
Authors: Zimmermann Julius , Altenkirch Richard , van Rienen Ursula 
Published: March 2022

AbstractElectrical stimulation of biological samples such as tissues and cell cultures attracts growing attention due to its capability of enhancing cell activity, proliferation, and differentiation. Eventually, a profound knowledge of the underlying mechanisms paves the way for innovative therapeutic devices. Capacitive coupling is one option of delivering electric fields to biological samples that has advantages regarding biocompatibility. However, its biological mechanism of interaction is not well understood. Experimental findings could be related to voltage-gated channels, which are triggered by changes of the transmembrane potential. Numerical simulations by the finite element method provide a possibility to estimate the transmembrane potential. Since a full resolution of the cell membrane within a macroscopic model would lead to prohibitively expensive models, we suggest the adaptation of an approximate finite element method. Starting from a basic 2.5D model, the chosen method is validated and applied to realistic experimental situations. To understand the influence of the dielectric properties on the modelling outcome, uncertainty quantification techniques are employed. A frequency-dependent influence of the uncertain dielectric properties of the cell membrane on the modelling outcome is revealed. This may have practical implications for future experimental studies. Our methodology can be easily adapted for computational studies relying on experimental data.
Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures
Authors: Bianchin Gianluca , Dall’Anese Emiliano , Poveda Jorge I. , Jacobson David , Carlton Elizabeth J. , Buchwald Andrea G. 
Published: March 2022

AbstractSince early 2020, non-pharmaceutical interventions (NPIs)—implemented at varying levels of severity and based on widely-divergent perspectives of risk tolerance—have been the primary means to control SARS-CoV-2 transmission. This paper aims to identify how risk tolerance and vaccination rates impact the rate at which a population can return to pre-pandemic contact behavior. To this end, we developed a novel mathematical model and we used techniques from feedback control to inform data-driven decision-making. We use this model to identify optimal levels of NPIs across geographical regions in order to guarantee that hospitalizations will not exceed given risk tolerance thresholds. Results are shown for the state of Colorado, United States, and they suggest that: coordination in decision-making across regions is essential to maintain the daily number of hospitalizations below the desired limits; increasing risk tolerance can decrease the number of days required to discontinue NPIs, at the cost of an increased number of deaths; and if vaccination uptake is less than 70%, at most levels of risk tolerance, return to pre-pandemic contact behaviors before the early months of 2022 may newly jeopardize the healthcare system. The sooner we can acquire population-level vaccination of greater than 70%, the sooner we can safely return to pre-pandemic behaviors.
Agents for sequential learning using multiple-fidelity data
Authors: Palizhati Aini , Torrisi Steven B. , Aykol Muratahan , Suram Santosh K. , Hummelshøj Jens S. , Montoya Joseph H. 
Published: March 2022

AbstractSequential learning for materials discovery is a paradigm where a computational agent solicits new data to simultaneously update a model in service of exploration (finding the largest number of materials that meet some criteria) or exploitation (finding materials with an ideal figure of merit). In real-world discovery campaigns, new data acquisition may be costly and an optimal strategy may involve using and acquiring data with different levels of fidelity, such as first-principles calculation to supplement an experiment. In this work, we introduce agents which can operate on multiple data fidelities, and benchmark their performance on an emulated discovery campaign to find materials with desired band gap values. The fidelities of data come from the results of DFT calculations as low fidelity and experimental results as high fidelity. We demonstrate performance gains of agents which incorporate multi-fidelity data in two contexts: either using a large body of low fidelity data as a prior knowledge base or acquiring low fidelity data in-tandem with experimental data. This advance provides a tool that enables materials scientists to test various acquisition and model hyperparameters to maximize the discovery rate of their own multi-fidelity sequential learning campaigns for materials discovery. This may also serve as a reference point for those who are interested in practical strategies that can be used when multiple data sources are available for active or sequential learning campaigns.