bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intraoral Swallow Pressure Profiles: General Features and Aids to Categorization
Authors: Casey Vincent , Perry Alison , Conway Richard 
Published: February 2022

Abstract
Purpose
The primary goal of this study was to establish a normative data set representing intraoral time series swallow pressure profiles for healthy adults using a novel wearable intraoral pressure sensing system, OroPress, developed to help with dysphagia (swallow disorder) clinical screening.

Methods
Swallow intraoral pressure-time profiles for 35 healthy adults (17 male, 18 female) swallowing water ($$3 \times 5\, {\text{cm}^3}$$

3
×
5

cm
3

; $$3 \times 10\, {\text{cm}^3}$$

3
×
10

cm
3

) and custard ($$3 \times 5\, {\text{cm}^3}$$

3
×
5

cm
3

) boluses ($$N=9 \times 35 = 315$$

N
=
9
×
35
=
315

) were recorded using OroPress.

Results
General swallow profile traits are identified to characterise an effective, efficient swallow. A profile-specific swallow envelope function is devised which in combination with profile metrics, provides a simple means of categorizing swallows as effective or impaired.

Conclusion
The swallow profile data trace with superimposed and colour coded peaks, envelope function and related swallow metrics provides a simple human readable graphic to aid the real-time instrumented identification of subjects warranting more in-depth clinical assessment. It may also prove useful in the selection of training set profiles for machine learning and other analysis tools which could improve the discriminatory capabilities of intraoral pressure measurement in dysphagia diagnostics.
Optimization of hydraulic fracturing with rod-shaped proppants for improved recovery in tight gas reservoirs
Authors: Mehmood Faisal , Liao Jianxing , Hou Michael Z. , Zahoor Muhammad Khurram , Xiong Ying 
Published: February 2022

AbstractDue to the increasing demand and importance of natural gas in the global energy mix, its expeditious recovery is crucial, especially from large-scale unconventional geo-resources. Hydraulic stimulation is an established means of productivity increase especially from tight gas reservoirs. The fracture conductivity generally depends on proppant properties, particularly the shape. Therefore, in this research, the effect of using rod-shaped proppants was investigated. Using rod-shaped proppants instead of conventional spherically shaped proppants, can make a significant difference. Due to the cylindrical shape, higher porosity and permeability are generated, resulting in better conductivity fractures. Thus, to analyze the effect of different proppant shapes on post-fracture performance, a production model was implemented in the FLAC3Dplus-TMVOC framework. Later, an in-depth sensitivity analysis was performed to investigate the effects of the proppant shape, size, strength, and effective stress on the fracture aperture reduction and conductivity due to proppant deformation and embedment. The application to a generic model revealed that recovery can be increased by about 7% using aspect ratio 1 rod-shaped proppant with the same diameter as the spherical proppant. Then, increasing the rod-shaped proppant size from an aspect ratio of 1–10 can significantly increase the gas recovery by 13% but results in higher proppant deformation. Finally, the application of rod-shaped proppants to fracturing proposals in well x in a tight gas reservoir of Germany showed that the recovery could be significantly improved if spherical proppants are replaced with rod-shaped proppants.
Bamboo biochar greater enhanced Cd/Zn accumulation in Salix psammophila under non-flooded soil compared with flooded
Authors: Li Xiaogang , Cao Yini , Xiao Jiang , Salam Mir Md Abdus , Chen Guangcai 
Published: February 2022

AbstractAs a metal immobilizer, biochar can be used to remediate contaminated soil. Biochar’s effect on the phytoremediation process in flooded conditions under a scenario of increasing flooding frequency as global climate change is not well understood. This study investigated bamboo biochar (BBC) effects on growth and metal accumulation ofSalixin multi-metal contaminated soil under non-flooded versus flooded conditions.Salixcuttings were cultivated in pots with severely contaminated soil by Cd and Zn, for 120 days, with four treatments including non-flooded treatment, flooded treatment, non-flooded with 3% BBC application (BBC/soil,w/w), and flooded with 3% BBC addition. BBC, flooding, and BBC× flooding significantly decreased the bioavailability of metals in soils (P < 0.05). The BBC addition markedly stimulated Cd concentration in leaves under non-flooded (94.20%) and flooded conditions (32.73%) but showed little effect on roots. The BBC significantly boosted Cd and Zn transport from roots to aboveground parts by 68.85% and 102.27% compared with no BBC amendment under non-flooded treatment, while showing insignificant changes under flooded treatment. Although the plant biomass was little affected, BBC significantly increased Cd and Zn accumulation in the whole plant by 52.53% and 28.52% under non-flooded while showing an insignificant impact under flooded conditions. Taken together, BBC enhanced the phytoremediation efficiency ofSalixto Cd and Zn in severely polluted non-flooded soil, while flooding offset this effect. The results indicated the effects of BBC varied under different soil moisture, which should be considered in the biochar-assisted phytoremediation to variable and complex environments.Graphical abstract
Overcoming barriers to COVID-19 vaccination of pregnant women
Authors: Lamptey Emmanuel 
Published: February 2022

AbstractCOVID-19 in pregnancy is associated with an increased risk of severe maternal illness, ICU admissions, mechanical ventilation and deaths. Vaccination is the best way to protect pregnant women against these known risks of infection in pregnancy. There is an urgent need to prioritize strategic responses to optimize vaccination among expectant mothers. In this paper, we reviewed potential patient and healthcare provider barriers to COVID-19 immunization and propose effective strategies for overcoming them.
Antibiotic prescribing knowledge: A brief survey of providers and staff at an ambulatory cancer center during Antibiotic Awareness Week 2019
Authors: Gulleen Elizabeth A. , Krantz Elizabeth M. , Zier Jacqlynn , Bhattacharyya Pooja , Kates Olivia , So Lisa , Sweet Ania , Yoke Leah H. , Pergam Steven A. , Liu Catherine 
Published: February 2022

Abstract
We surveyed healthcare professionals at a cancer center regarding their knowledge and perceptions of antibiotic use. Most knew the term “antimicrobial stewardship.” Nurses and other staff were less likely than pharmacists or providers to answer knowledge-based questions correctly. Opportunities exist to improve antibiotic knowledge among cancer center staff.
An optimal visual servo trajectory planning method for manipulators based on system nondeterministic model
Authors: Qi Ruolong , Tang Yuangui , Zhang Ke 
Published: February 2022

AbstractWhen a manipulator captures its target by a visual servo system, uncertainties can arise because of mechanical system and visual sensors exist error. This paper proposes an intelligent method to predict the successful rate for a manipulator to capture its target with motion and sensor errors. Because the mapping between the joint space of the manipulator and the Cartesian space at the end of the manipulator is nonlinear, when there is a bounded error of the manipulator’s joint, the error range of the end motion is constantly changing with the different joint positions. And at the same time, the visual servo camera will also measure the target from different positions and postures, so as to produce measurement results with different error ranges. The unknown time-varying error property not only greatly affects the stability of the closed-loop control but also causes the capture failure. The purpose of this paper is to estimate the success probability of different capture trajectories by establishing the nondeterministic model of manipulator control system. First, a system model including motion subsystem and feedback subsystem was established with system error described by Gaussian probability. And then Bayesian estimation was introduced into the system model to estimate the executing state of the predefined trajectory. Linear least quadratic regulators (LQR) control is used to simulate the input correction in the closed-loop control between motion subsystem and feedback subsystem. At last, the successful probability of capturing the target is established by the Gaussian distribution at the end point of the trajectory with geometric relationship calculation between tolerance range and error distribution. The effectiveness and practicability of the proposed method are proved by simulation and experiment.
Autonomous aerial flight path inspection using advanced manufacturing techniques
Authors: Rizia Mousumi , Reyes-Munoz Julio A. , Ortega Angel G. , Choudhuri Ahsan , Flores-Abad Angel 
Published: February 2022

SUMMARYRobotic systems have shown capabilities to perform inspection tasks in dangerous and difficult-to-access environments, such as those found in different components of power plants. However, most of the current robotic inspection technology is designed for specific components. Aerial robots, commonly termed as Drones, have raised an option to inspect a wider range of structural components. Nevertheless, current aerial inspecting technology still relies on a human pilot with limited line of sight, field of view and a reduced perception as the drone flies away, which prevents performing close-quarter inspection in intricate, structurally complex and GPS-denied environments. This work introduces offline inspection path generation methods based on robotics-integrated to manufacturing techniques. One method uses computer-aided manufacturing (CAM) techniques and the other an additive manufacturing (AM) approach to generate the flight path. That is to say, the drone would fly along the path described by a 3D (Three Dimensional) printer’s extruder or a CNC (Computer Numerical Control) machining tool, enabling to fly very close the structure even in physical structures with a complex geometry. Once the trajectories are generated, they are introduced for its validation in the Gazebo robotics simulator. Simulation results demonstrate the proper performance of the method and confirm that this approach can be used for close inspection of structuralcomponents.
SoundexGR: An algorithm for phonetic matching for the Greek language
Authors: Kavros Antrei , Tzitzikas Yannis 
Published: February 2022

AbstractText usually suffers from typos which can negatively affect various Information Retrieval and Natural Language Processing tasks. Although there is a wide variety of choices for tackling this issue in the English language, this is not the case for other languages. For the Greek language, most of the existing phonetic algorithms provide rather insufficient support. For this reason, in this paper, we introduce an algorithm for phonetic matching designed for the Greek language: we start from the original Soundex and we redesign and extend it for accommodating the Greek language’s phonetic rules, ending up to a family of algorithms, that we call
${\tt Soundex}_{GR}$
. Then, we report various experimental results showcasing how the algorithm behaves in different scenarios, and we provide comparative results for various parameters of the algorithm for revealing the trade-off between precision and recall in datasets with different kinds of errors. We also provide comparative results with matching using stemming, full phonemic transcription, and edit distance, that demonstrate that
${\tt Soundex}_{GR}$
performs better (indicatively, it achieves F-Score over 95% in collections of similar-sounded words). The simplicity, efficiency, and effectiveness of the proposed algorithm make it applicable and adaptable to a wide range of tasks.
The great lockdown: information, noise, and macroeconomic fluctuations
Authors: Brzoza-Brzezina Michał , Wesołowski Grzegorz 
Published: February 2022

AbstractThis paper argues that not only actual lockdowns can affect economies but also noisy information about them. We construct a New Keynesian model with imperfect information about how long the lockdown would last. On the one hand, a false signal about the lockdown lowers consumption, investment, employment, and output, and this effect can be quantitatively sizable. On the other hand, a true information about a lockdown being introduced can also be misinterpreted and hence cause an impact on agents’ decisions being quantitatively different from the one desired by the authorities. To the extent that the latter have less noisy information about future lockdowns than the private sector, they can reduce these undesired fluctuations by precisely communicating the lockdown policy. Importantly, under some circumstances only radical improvements in information precision are successful.
Origins of the Intraseasonal Variability of East Asian Summer Precipitation
Authors: Ren Qiaoling , Liu Fei , Wang Bin , Yang Song , Wang Hui , Dong Wenjie 
Published: February 2022

AbstractAccurate subseasonal prediction of East Asian summer precipitation (EASP) requires a deep understanding of the origins of its intraseasonal variability (ISV). However, the relative contributions to the EASP ISV from local processes, tropical intraseasonal oscillation (ISO), and extratropical influence remain unknown. We conducted a set of numerical experiments with a grid nudging method to confirm the roles of external forcing from mid‐to‐high latitude wave trains and tropical ISO and quantify their relative contributions. The Community Earth System Model can reproduce realistic EASP ISV and associated preceding signals. The tropical and mid‐to‐high latitude forcings account for, respectively, 53% and 40% of the total variance for the two leading ISV modes of EASP. The tropical forcing contributes more significantly to the two leading modes (31% and 40%, respectively) compared to the extratropical forcing (24% and 15%). These external forcings mainly affect EASP regional averages rather than the values of local (grid) scale.
A Broadband View of the Sea Surface Height Wavenumber Spectrum
Authors: Villas Bôas Ana B. , Lenain Luc , Cornuelle Bruce D. , Gille Sarah T. , Mazloff Matthew R. 
Published: February 2022

AbstractAirborne lidar altimetry can measure the sea surface height (SSH) over scales ranging from hundreds of kilometers to a few meters. Here, we analyze the spectrum of SSH observations collected during an airborne lidar campaign conducted off the California coast. We show that the variance in the surface wave band can be over 20 times larger than the variance at submesoscales and that the observed SSH variability is sensitive to the directionality of surface waves. Our results support the hypothesis that there is a spectral gap between meso‐to‐submesoscale motions and small‐scale surface waves and also indicate that aliasing of surface waves into lower wavenumbers may complicate the interpretation of SSH spectra. These results highlight the importance of better understanding the contributions of different physics to the SSH variability and considering the SSH spectrum as a continuum in the context of future satellite altimetry missions.
Heat Wave Trends in Southeast Asia: Comparison of Results From Observation and Reanalysis Data
Authors: Li Xian‐Xiang , Yuan Chao , Hang Jian 
Published: February 2022

AbstractSoutheast Asia (SEA), a region climatologically important but limited by data availability, is suffering from serious scarceness of heat wave (HW) research. Using the observational and reanalysis data, we find that in most parts of SEA, HWs are becoming more frequent, longer‐lasting, and stronger, and affect more land areas. The increasing trends of HW characteristics defined by minimum temperatures are larger than those by maximum temperatures, alarming a situation of anomalously warm night. Magnitude of yearly hottest HW event increases faster, and duration of yearly longest HW shows significant trends in more areas than their average counterparts. ERA5 reproduces well the HW trends defined by daily minimum temperatures, but underestimate those by maximum temperature. The data set CHIRTS improves on daily maximum temperature and associated HW trends, but deteriorates on daily minimum temperature. This study highlights the importance of high‐quality data, either observational or reanalysis, on the HW study in SEA.
A Model of C4 Photosynthetic Acclimation Based on Least‐Cost Optimality Theory Suitable for Earth System Model Incorporation
Authors: Scott Helen G. , Smith Nicholas G. 
Published: February 2022

AbstractEmpirical studies have shown that plant photosynthetic responses to environmental change can vary over time due to acclimation, but acclimation responses are often not included in Earth System Models. Photosynthetic least cost theory can be used to develop models of photosynthetic acclimation that are simple and testable. The theory is based on the idea that plants will acclimate to minimize the ratio of carbon costs to photosynthetic assimilation rate (Prentice et al., 2014, https://doi.org/10.1111/ele.12211). Formulations of this theory have been developed for C3 plants, but not C4 plants, which account for over 20% of global photosynthesis and are over‐represented among widely grown crops. Here, we use photosynthetic least cost theory to derive a model for C4 photosynthetic acclimation to above‐ground abiotic conditions. We then compare our model's responses to a similar model of C3 photosynthetic acclimation and find that C4 photosynthesis has the highest simulated advantage over C3 photosynthesis in hot, dry, and low CO2 environments. We find that this advantage predicts C4 abundance globally, but that the shallower CO2 response of C4 as compared to C3 photosynthesis will reduce C4 plant competitiveness under future conditions, despite higher temperatures. We also show that an acclimated model predicts similar or faster rates of C4 under all conditions than a model that does not consider acclimation, suggesting that Earth System Models (ESMs) are underestimating future C4 carbon uptake by not including acclimation. Our model is designed for easy incorporation into such ESMs.
Tropical Peatland Hydrology Simulated With a Global Land Surface Model
Authors: Apers S. , De Lannoy G. J. M. , Baird A. J. , Cobb A. R. , Dargie G. C. , del Aguila Pasquel J. , Gruber A. , Hastie A. , Hidayat H. , Hirano T. , Hoyt A. M. , Jovani‐Sancho A. J. , Katimon A. , Kurnain A. , Koster R. D. , Lampela M. , Mahanama S. P. P. , Melling L. , Page S. E. , Reichle R. H. , Taufik M. , Vanderborght J. , Bechtold M. 
Published: February 2022

AbstractTropical peatlands are among the most carbon‐dense ecosystems on Earth, and their water storage dynamics strongly control these carbon stocks. The hydrological functioning of tropical peatlands differs from that of northern peatlands, which has not yet been accounted for in global land surface models (LSMs). Here, we integrated tropical peat‐specific hydrology modules into a global LSM for the first time, by utilizing the peatland‐specific model structure adaptation (PEATCLSM) of the NASA Catchment Land Surface Model (CLSM). We developed literature‐based parameter sets for natural (PEATCLSMTrop,Nat) and drained (PEATCLSMTrop,Drain) tropical peatlands. Simulations with PEATCLSMTrop,Nat were compared against those with the default CLSM version and the northern version of PEATCLSM (PEATCLSMNorth,Nat) with tropical vegetation input. All simulations were forced with global meteorological reanalysis input data for the major tropical peatland regions in Central and South America, the Congo Basin, and Southeast Asia. The evaluation against a unique and extensive data set of in situ water level and eddy covariance‐derived evapotranspiration showed an overall improvement in bias and correlation compared to the default CLSM version. Over Southeast Asia, an additional simulation with PEATCLSMTrop,Drain was run to address the large fraction of drained tropical peatlands in this region. PEATCLSMTrop,Drain outperformed CLSM, PEATCLSMNorth,Nat, and PEATCLSMTrop,Nat over drained sites. Despite the overall improvements of PEATCLSMTrop,Nat over CLSM, there are strong differences in performance between the three study regions. We attribute these performance differences to regional differences in accuracy of meteorological forcing data, and differences in peatland hydrologic response that are not yet captured by our model.
Multiphase Topographic and Thermal Histories of the Wallowa and Elkhorn Mountains, Blue Mountains Province, Oregon, USA
Authors: Schoettle‐Greene P. , Duvall A. R. , Crowley P. D. 
Published: February 2022

AbstractThe Mesozoic and Cenozoic history of Western North America is characterized by terrane accretion, volcanism, and orogenesis. This history complicates the interpretation of paleogeography in northeastern Oregon and adjacent Idaho, where the age of mountainous topography in the Blue Mountains Province is important for validating hypothesized Miocene to present geodynamics. In this study, we analyze the distribution of Columbia River Basalt and low‐temperature apatite and zircon (U‐Th)/He thermochronometry collected from the Wallowa and Bald Mountain Batholiths to refine regional landscape history. These batholiths underly the Wallowa and Elkhorn Mountains respectively, two of the most prominent mountain ranges within the Blue Mountains Province. We find that low‐temperature thermochronometry data from the Bald Mountain and Wallowa Batholiths record distinct thermal histories associated with unroofing and magmatism from the Cretaceous to present. We propose that reheating during intrusion of the Chief Joseph dike swarm led to partial resetting of thermochronometers but did not completely overprint recorded Mesozoic to present thermal histories in the Wallowa Batholith. Using modeled thermal histories and the present‐day distribution of Columbia River Basalt, we conclude that the Wallowa and Elkhorn Mountains have distinct topographic histories. We propose that the Elkhorn Mountains began to form in the Eocene and that the Wallowa Mountains are geologically young, forming as a result of relief generation after the Miocene eruption of Columbia River Basalt.
Angular engineering strategy of an additional periodic phase for widely tunable phase-matched deep-ultraviolet second harmonic generation
Authors: Shao Mingchuan , Liang Fei , Yu Haohai , Zhang Huaijin 
Published: February 2022

AbstractManipulation of the light phase lies at the heart of the investigation of light-matter interactions, especially for efficient nonlinear optical processes. Here, we originally propose the angular engineering strategy of the additional periodic phase (APP) for realization of tunable phase matching and experimentally demonstrate the widely tunable phase-matched second harmonic generation (SHG) which is expected for dozens of years. With an APP quartz crystal, the phase difference between the fundamental and frequency-doubled light is continuously angularly compensated under this strategy, which results the unprecedented and efficient frequency doubling at wavelengths almost covering the deep-UV spectral range from 221 to 332 nm. What’s more, all the possible phase-matching types are originally realized simultaneously under the angular engineering phase-matching conditions. This work should not only provide a novel and practical nonlinear photonic device for tunable deep-UV radiation but also be helpful for further study of the light-matter interaction process.