bluuebunny/crossref_metadata_2025_split huggingface dataset:
Australian women's information‐seeking preferences and needs in preparation for pregnancy
Authors: Lang Adina Y. , Harrison Cheryce L. , Boyle Jacqueline A. 
Published: May 2022

AbstractIssue addressedThe preconception period provides opportunities for health behaviour optimisation for improved maternal and child well‐being. However, preconception information sources women engage with are not well‐known.MethodsTo address this gap, the current cross‐sectional study retrospectively explored (1) preconception information or advice accessed on recommended preconception health topics and (2) preferred sources of preconception information amongst pregnant women receiving care through Australian public and private maternity settings.ResultsOverall, 78% of women reported accessing any preconception health information, predominantly concerning achieving/maintaining a healthy weight, diet, folic acid and multivitamin supplementation. Preferred information sources included health professionals, e.g. general practitioners (74%) and the internet (66%), although source engagement varied.ConclusionsWhilst women predominantly prefer seeking preconception health information from health professionals and the internet, multi‐modal resources are needed to reach women and enhance engagement with evidence‐based information and healthcare in preparation for pregnancy.So what?Evaluation of preconception health resources for women and health professionals is warranted, appraising their adequacy in supporting engagement with key preconception health messages. In particular, assessment of the quality, readability and evidence‐base of online resources is needed. Our findings highlight the need for public health experts to take action to raise awareness amongst women of the importance of preconception health, encourage health professional engagement for preconception care and direct women to more appropriate evidence‐based online resources.
Open and reproducible practices in developmental psychology research: The workflow of the WomCogDev lab as an example
Authors: Turoman Nora , Hautekiet Caro , Jeanneret Stéphanie , Valentini Beatrice , Langerock Naomi 
Published: May 2022

AbstractThe current paper presents an overview of the workflow of the Working Memory, Cognition and Development (WomCogDev) lab at the University of Geneva, Switzerland, as an example of how Open Science principles can be applied in a developmental psychology lab. We describe the importance and challenges of applying Open Science practices in developmental research and detail each step of our workflow from research design to dissemination. We provide examples and give emphasis to steps that typically receive little attention but that may hold promise for application in other labs (namely, project design, data collection and data analysis). Finally, we discuss the advantages and disadvantages of our workflow and summarize the main takeaways for other labs. By ‘opening up’ our lab's workflow, we want to encourage other labs to incorporate the aspects that they like into their own workflows and to share their own processes for the continued benefit of others.
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features
Authors: Sunitha Gurram , Arunachalam Rajesh , Abd‐Elnaby Mohammed , Eid Mahmoud M. A. , Rashed Ahmed Nabih Zaki 
Published: May 2022

AbstractThe study aims to assess the detection performance of a rapid primary screening technique for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically validated samples using laboratory molecular testing (1100 COVID‐19 negative and 1100 COVID‐19 positive). Results and severity of samples based on quantitative RT‐PCR (qRT‐PCR), cycle threshold, and patient lymphocyte numbers were clinically labeled. Our suggested general methods consist of a tensor based on audio characteristics and deep‐artificial neural network classification with deep cough convolutional layers, based on the dilated temporal convolution neural network (DTCN). DTCN has approximately 76% accuracy, 73.12% in TCN, and 72.11% in CNN‐LSTM which have been trained at a learning rate of 0.2%, respectively. In our scenario, CNN‐LSTM can no longer be employed for COVID‐19 predictions, as they would generally offer questionable forecasts. In the previous stage, we discussed the exactness of the total cases of TCN, dilated TCN, and CNN‐LSTM models which were truly predicted. Our proposed technique to identify COVID‐19 can be considered as a robust and in‐demand technique to rapidly detect the infection. We believe it can considerably hinder the COVID‐19 pandemic worldwide.
Field evaluation of an explicit infiltration function for conventional and alternate furrow irrigation
Authors: Dialameh Babak , Ebrahimian Hamed , Parsinejad Masoud 
Published: May 2022

AbstractSurface irrigation models should take two‐dimensional infiltration of water in furrows into account for better representation and more accuracy. The Warrick–Lazarovitch infiltration model (W–L model) has been proposed to estimate the two‐dimensional infiltration of water in furrow irrigation. This model consists of several parameters, including γ as an empirical parameter, which is often obtained through calibration of the model. This study aimed to evaluate the W–L model performance in determining the cumulative and lateral infiltrations under conventional furrow irrigation (CFI) and alternate furrow irrigation (AFI) schemes and two different initial and boundary conditions. The results indicate that the W–L model adequately estimated the cumulative and lateral infiltration, and the two‐dimensional infiltration was estimated with less error than the lateral infiltration. In both irrigation schemes, for an increased surface boundary head from 5 to 10 cm and for a reduced initial water content from 0.21 to 0.16 cm3/cm3, the value of γ would increase. Generally, γ values in AFI were greater than those in CFI. The W–L model estimated the two‐dimensional infiltration with more accuracy than the relative lateral infiltration for both CFI and AFI. Proper representation of infiltration is important in both irrigation management and in tracing footprints of chemicals used in agriculture.
Minimization of deep percolation by a parabolic simulation model in a blocked end furrow irrigation method
Authors: Kilic Murat 
Published: May 2022

AbstractSurface irrigation methods enable a lower cost of investment and energy requirements than pressurized systems if they are designed and managed properly. The aim of this investigation was to devise a new simulation model that would enable the determination of the optimum water application time and furrow length in a blocked end furrow system. The infiltration properties of the soil, net irrigation water requirement of the crop and inflow to the furrow constitute the main variables of this process. Deep percolation and the cross‐sectional area of the wetting pattern where the net irrigation water requirement of the crop is met along the furrow are the main components that were simulated interactively in the model. They were described as a function of time. The proposed model devised in this investigation was run for two different sample applications. While values of 93 and 94% water application efficiencies were obtained by running the USDA SCS method for the first and second sample applications, respectively, values of 92 and 94% were obtained, respectively, from the proposed model. These results indicate that the proposed model can be used in the design of a blocked end furrow system.
Blood pressure reduction as a result of the Boxville Vitals partnership
Authors: Wu Anna , Snell Brittney Nicole , Younge Jewel Sophia 
Published: May 2022

AbstractIntroductionBoxville Vitals is a blood pressure and blood glucose testing site in Chicago Illinois facilitated by students and faculty of the University of Illinois Chicago College of Pharmacy during the weekly arrival of a mobile produce grocer to Boxville Marketplace. Boxville Vitals focuses on trust‐building and accessibility of care.ObjectivesThe primary objective was to build community engagement by increasing weekly participation and secondarily, to observe a change in blood pressure among returning patrons.MethodsBlood pressure and blood glucose testing was offered from August through October 2021. Patients were “nudged” to care through a “stress‐free” approach. No diagnoses were made. Only “new” vs “returning” status was recorded. Weekly attendance was used to measure engagement. A Mann‐Whitney U test was performed using Prism to compare mean reductions in blood pressures among “new” and “returning” patrons.ResultsOf 84 results collected, 65 were blood pressures; 48 new and 17 returning results. The 8‐week program elicited robust engagement; 21% returned for follow‐up. A mean reduction of 13.95 mm Hg in systolic blood pressure (95% confidence interval, P < .02) was found between the two groups.ConclusionBoxville Vitals shows that an intrinsically motivated population can be meaningfully served by bringing care within reach. Clinically significant reductions in systolic blood pressures were found.
Extracellular vesicles from lung tissue drive bone marrow neutrophil recruitment in inflammation
Authors: Liu Bowen , Jin Yuan , Yang Jingyi , Han Yue , Shan Hui , Qiu Mantang , Zhao Xuyang , Liu Anhang , Jin Yan , Yin Yuxin 
Published: May 2022

AbstractExtracellular vesicles (EVs) are single‐membrane vesicles that play an essential role in long‐range intercellular communications. EV investigation has been explored largely through cell‐culture systems, but it remains unclear how physiological EVs exert homeostatic or pathological functions in vivo. Here, we report that lung EVs promote chemotaxis of neutrophils in bone marrow through delivery of double stranded DNA (dsDNA). We have identified and characterized EVs containing dsDNA collected from both human and murine lung tissues using newly developed approaches. Our analysis of EV proteomics together with single‐cell RNA sequencing data reveals that type II alveolar epithelial cells are the main source of the lung EVs. Furthermore, we demonstrate that the lung EVs accumulate in bone marrow and enhance neutrophil recruitment under inflammation conditions. Moreover, lung EV‐DNA stimulates neutrophils to release the chemokines CXCL1 and CXCL2 via DNA‐TLR9 signalling. Our findings establish a molecular basis of lung EVs in enhancement of host immune response to bacterial infection and provide new insights into understanding of vesicle‐mediated systematic communications.
Optimized cascade fractional‐order 3DOF‐controller for frequency regulation of a hybrid power system using marine predators algorithm
Authors: Patel Vivek , Guha Dipayan , Purwar Shubhi 
Published: May 2022

AbstractThis article investigates the competence of a cascade fractional‐order three‐degree‐of‐freedom (CC‐FO‐3DOF) controller for power‐frequency regulation of a hybrid wind‐diesel (hyWD) power system subjected to continuous load variation and unknown/uncertain wind power perturbation. The proposed cascade controller utilizes fractional‐order 3DOF‐PID and tilt‐integral‐derivative controllers as slave and master controllers, respectively, to ensure fast disturbance rejection and high damping of power‐frequency oscillations. A disturbance observer is designed to estimate system states and unknown/uncertain wind velocity. Subsequently, an improved control law is designed by augmenting the disturbance estimation, which ensures a higher degree of robustness of the closed‐loop system against disturbances. Marine Predators algorithm (MPA) is applied to search near‐optimum settings of the proposed controller, exercising an integral error‐based objective function. The effectiveness of the proposed controller is demonstrated by comparing results with the outputs of other prevalent controllers reported in the state‐of‐art. Extensive analysis of the presented results establishes the superiority of the MPA‐tuned CC‐FO‐3DOF controller in terms of maximum peak overshoot, frequency nadir, speed of response, and steady‐state accuracy. Finally, the robust closed‐loop stability of the investigated hyWD system has been affirmed applying Kharitonov's stability method, considering dynamic variation in system parameters.
The investigation of the signal radiation mechanism of differentGSG‐pads connection methods
Authors: Song Zelin , Liu Huihua , Mawuli Ernest Smith , Yu Yiming , Zhao Chenxi , Wu Yunqiu , Tang Hongyan , Kang Kai 
Published: May 2022

AbstractGSG‐PADs are mostly used structures in Integrated Circuits design. As the operating frequency increases, the coupling effect between the input and output GSG‐PADs is enhanced significantly. This causes signal energy leakage and impacts on the performance of adjacent devices in the system. Beyond microwave frequency, the coupling effect between the input and output of the GSG‐PADs is not only negligible but also varies in magnitude with respect to the connection methods of the GSG‐PADs in the circuit. Therefore, investigating the signal radiation properties of different GSG‐PADs connection methods is essential. Hence, three structures with different input and output ground PAD connection methods have been experimented. Based on the theoretical analysis of the electromagnetic field distribution between the pad network, a corresponding equivalent circuit model has been developed for the three structures. To validate the proposed model, the test structures were fabricated in 0.18 μm CMOS process and measured up to 67 GHz. The root‐mean‐square error (RMSE) of the magnitude of return loss and that of insertion loss are less than 0.013 and 0.003, respectively, when the measurement result is compared with the performance results of the proposed model. Finally, establish the complete model of the DUT and test pads to further verify the accuracy of the proposed two‐port GSG‐PADs model. Hence, the findings of the investigation can provide a theoretical basis for optimizing related layout in integrated circuit design.
Low dietary inclusion levels of Tenebrio molitor larva meal slightly modify growth performance, carcass and meat traits of Japanese quail (Coturnix japonica)
Authors: Secci Giulia , Dabbou Sihem , Lira de Medeiros Adja Cristina , Addeo Nicola F. , Atallah Elie , Parisi Giuliana , Moniello Giuseppe , Bovera Fulvia 
Published: May 2022

AbstractBACKGROUNDInsect‐derived proteins are a promising, valuable and permitted ingredient for poultry feed. However, more emphasis should be given to their effects on avian species different from chicken, such as quail (Coturnix coturnix), whose rearing represents an important activity. The present paper provides novel information about the impact of graded dietary levels of Tenebrio molitor (TM) larvae meal on quail growth and meat quality.RESULTSFour diets were formulated with graded inclusion levels of TM, namely 1.65, 3.3 and 6.6 g on 100 g feed (T1.65, T3.3, T6.6, respectively) to partially replace the conventional proteins of a control diet (C). A total of 192 birds were allotted to one of the groups and fed for 35 days. The inclusion of TM meal linearly increased feed conversion ratio, and decreased carcass and breast weight. Texture and water holding capacity of meat were linearly reduced with increasing TM in diet, while fatty acid composition was not affected. However, the meat from quails fed diets including TM was subject to greater thermal damage than the C group; hence further studies are encouraged.CONCLUSIONTM meal inclusion at higher levels than 1.65% slightly impaired the growth performance of Japanese quails. Negligible effects on physical properties such as colour, texture, cooking loss and also on the fatty acid profile of the raw and cooked meat was found after including TM in quails’ diet up to 3.3%. © 2022 Society of Chemical Industry.
Small fish eat smaller fish: A model of interaction strength in early life stages of two tuna species
Authors: Ottmann Daniel , Reglero Patricia , Alemany Francisco , Alvarez‐Berastegui Diego , Martín Melissa , Fiksen Øyvind 
Published: May 2022

AbstractFish larvae are rarely a major driver of fish mortality, but tunas can produce large batches of larvae that rapidly develop the capacity to kill other fish. We combine a model for the killing potential from Atlantic bluefin tuna (BFT) larvae on larval albacore (ALB) with field observations at a major spawning ground. Both species spawn from June to August, but BFT has a narrow spawning peak at the beginning of the season that results in priority effects. Our model shows that, following a recent stock recovery, BFT larvae have increased their killing pressure, leaving areas of up to 1000 km2 with < 1% chance of ALB daily survival. Such increase in killing pressure suggests larval ALB has reduced chances to survive; yet in large areas with few BFT, other drivers of early survival prevail over BFT predation. This shows that strong predatory interactions can occur during larval stages in some fishes.
Correcting estimations of copepod volume from two‐dimensional images
Authors: Dubois Cédric , Irisson Jean‐Olivier , Debreuve Eric 
Published: May 2022

AbstractAccurate plankton biomass estimations are essential to study marine ecological processes and biogeochemical cycles. This is particularly true for copepods, which dominate mesozooplankton. Such estimations can efficiently be computed from organism volume estimated from images. However, imaging devices only provide two‐dimensional (2D) projections of three‐dimensional objects. The classical procedures to retrieve volumes, based on the equivalent spherical diameter (ESD) or the best‐fitting ellipse, are biased. Here, we present a method to correct these biases. First, a new method aims to measure body area and fit an ellipse. Then, the body of copepods is modeled as an ellipsoid whose 2D silhouette is mathematically derived. Samples of copepod bodies are simulated with realistic shapes/sizes and random orientations. Their total volume is estimated from their silhouettes using the two classical methods and a correction factor is computed, relative to the known, total, volume. On real data, individual orientations and volumes are unknown but the correction factor still holds for the total volume of a large number of organisms. The correction is around −20% for the ESD method and + 10% for the ellipse method. When applied to a database of 150,000 images of copepods captured by the Underwater Vision Profiler, the corrections decreased the gap between the two methods by a factor of 54. In addition, the same procedure is used to evaluate the consequence of the bias in the estimation of individual volumes on the slopes of normalized biovolume size spectra and show that they are, fortunately, not sensitive to the bias.
Design of static and dynamic ridge filters for FLASH–IMPT: A simulation study
Authors: Zhang Guoliang , Gao Wenchao , Peng Hao 
Published: May 2022

AbstractPurposeThis paper focused on the design and optimization of ridge filter–based intensity‐modulated proton therapy (IMPT), and its potential applications for FLASH. Differing from the standard pencil beam scanning (PBS) mode, no energy/layer switching is required and total treatment time can be shortened.MethodsUnique dose‐influence matrices were generated as a proton beam traverses through slabs of different thicknesses (i.e., modulation by different layers). To establish the references for comparison, conventional IMPT plans (single field) were created using a large‐scale nonlinear solver. The spot weights from the reference IMPT plans were used as inputs for optimizing the design of ridge filters. Two designs were evaluated: model A (static) and model B (dynamic). The ridge filter designs were first verified (by GEANT4 simulation) in a water phantom and then in an H&N case. A direct comparison was made between the GEANT4 simulation results of two models and their respective references, with regard to plan quality, dose‐averaged dose rate, and total treatment time.ResultsIn both the water phantom and the H&N case, two models are able to modulate dose distributions with high conformity, showing no significant difference relative to the reference plans. Dose rate–volume histograms suggest that in order to achieve a dose rate of 40 Gy/s over 90% PTV, the beam intensity needs to be 2.5 × 1011 protons/s for both models. For a fraction dose of 10 Gy, the total treatment time (including both irradiation time and dead time) can be shortened by a factor of 4.9 (model A) and 6.5 (model B), relative to the reference plans.ConclusionTwo proposed designs (both static and dynamic) can be used for PBS–IMPT requiring no layer switching. They are promising candidates for FLASH‐IMPT capable of reducing treatment time and achieving high dose rates while maintaining dose conformity simultaneously.
Extraction of cellulose nanocrystals from red banana peduncle agro‐waste and application in environmentally friendly biocomposite film
Authors: K. J. Nagarajan , M. R. Sanjay , K. Sathick Basha , G. R. Raghav , R. Ashok Kumar , S. Siengchin , B. Surya Rajan , P. Sabari Nath , Khan Anish 
Published: May 2022

AbstractThe agricultural waste dumped onto the land is creating an environmental problem. The conversion of those easily available agro‐wastes into value‐added nano reinforcement materials for biopolymers is an alternative method of waste utilization and minimization. In the current study, the red banana peduncle (RBP) waste was used as a precursor in the extraction of carboxylated cellulose nanocrystals (CCNCs) by alkalization, acidified chlorination citric acid hydrolysis, as well as the assessment of its reinforcing capability in polyvinyl alcohol. The characterization of the extracted CCNCs is analyzed through electron microscopy, X‐ray diffraction (XRD), Fourier transform infrared spectroscopy (FT‐IR), and Thermogravimetric analysis (TGA), respectively. The CCNCs exhibit a rod‐like shape (235 ± 20 nm length and 17.2 ± 6 nm width) with a high crystallinity of 89.7%, a negative zeta potential (−48 mV), and good thermal resistivity against degradation up to 280 °C. Furthermore, the effects of CCNCs integration on the bionanocomposite films' tensile, optical, bio decomposition, and thermal behavior were examined. The bionanocomposite film with improved physical, functional, thermal and bio decomposition characteristics offers the possibility for active packaging applications.
Dynamic wetting characteristics of submicron‐structured injection molded parts
Authors: Krantz Joshua , Caiado Ashley , Piccolo Leonardo , Gao Peng , Sorgato Marco , Lucchetta Giovanni , Masato Davide 
Published: May 2022

AbstractThe generation of submicron structures on plastic part surfaces can be used to modify their wetting properties allowing the creation of superhydrophobic surfaces. The modified wetting behavior can allow functionalities such as fluid collection or transport, which are critical for microfluidics. Consistent manufacturing is achieved through surface replication and process characterization. In this work, submicron structures were generated on steel mold inserts using ultrafast femtosecond laser and then replicated by micro injection molding on polypropylene and polylactic acid. Samples with Laser‐Induced Periodic Surface Structures (LIPSS) were fabricated using a femtosecond laser and characterized to investigate the effects of mold temperature, texture orientation, and material selection on the dynamic contact angle. The dynamic wetting functionality of the surfaces was investigated by analysis of the advancing and receding contact angles. The hysteresis obtained from the dynamic measurements provides information about the fluid/texture interaction dynamics. The experimental results show that the effects of mold temperature and drop orientation are only significant for the advancing contact angles. The large contact angle hysteresis suggests a parahydrophobic wetting behavior for the manufactured plastic parts.