bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Influence of Substrate Topography on the Plasma Jet Flow in the Substrate Boundary Layer under Suspension Plasma Spray Conditions: A Numerical Approach
Authors: Kiełczawa Tomasz , Sokołowski Paweł , Małachowska Aleksandra 
Published: February 2022

AbstractThis study deals with the numerical analysis of the plasma jet behavior close to the substrate surface depending on its topography. It uses a 2D axisymmetric time-dependent CFD model solved with the Ansys Fluent 2020/R1 package. The model takes into consideration the nonlinear thermophysical properties and turbulent phenomena of the plasma jet as well as its interaction with the microtextured substrate. Representative substrate topographies were considered as a boundary condition in the numerical simulations. They correspond to the bond coats used in Thermal Barrier Coating technology, actually APS sprayed NiCrAlY coatings which were experimentally microtextured using various laser unit operational conditions resulting in different substrate topographies. The numerical calculations showed that the substrate topography, modified and controlled in this work by microtexturing, disturbs the homogeneity of the pressure field in the substrate boundary layer resulting in the periodical pressure fluctuation. It was also observed that the relative local pressure disturbance is more significant in the substrate outer regions than close to the centerline. Then, based on the results of numerical calculations, the potential movement of feedstock particles near to the substrate was discussed. It was concluded that the deposition of fine powders, characterized by a low Stokes number, will be influenced by the pressure field distribution near to the substrate and will take place mainly in the local high-pressure zones. Furthermore, the local swirl of plasma taking place in each fine microtexture, created here by laser ablation, privileges the deposition of such particles on the surface asperities. These observations show that the CFD code modeling opens the possibility of predicting the movement and deposition of particles during plasma spraying, which is essential for understanding coating deposition mechanisms in suspension plasma spray.
Gray matter alteration in medication overuse headache: a coordinates-based activation likelihood estimation meta-analysis
Authors: Chen Wenjia , Li Hui , Hou Xiaoyan , Jia Xize 
Published: February 2022

Abstract
Medication overuse headache (MOH) is a prevalent secondary headache, bringing heavy economic burden and neuropsychological damage. Neuroimaging studies on the disease reported divergent results. To merge the reported neuroimaging alterations in MOH patients and explore a pathophysiological mechanism of this disorder. A meta-analytic activation likelihood estimation (ALE) analysis method was used. We systematically searched English and Chinese databases for both morphological and functional neuroimaging studies published before Nov 18, 2021. Reported altered brain regions and the stereotactic coordinates of their peaks were extracted and pooled by GingerALE using Gaussian probability distribution into brain maps, illustrating converged regions of alteration among studies. We identified 927 articles, of which five studies on gray matter changes, using voxel-based morphometry (VBM) were eventually included for ALE analysis, with 344 subjects and 54 coordinates put into GingerALE. No functional magnetic resonance imaging (fMRI) or positron emission topography (PET) studies were included for pooling. Compared with healthy controls (HCs), MOH featured increased gray matter density in midbrain, striatum, cingulate, inferior parietal cortex and cerebellum (P < 0.001 uncorrected), whereas decreased gray matter density in orbitofrontal cortex (P < 0.05, family-wise error), frontal, insular and parietal cortices (P < 0.001 uncorrected). Withdrawal of analgesics led to decreased gray matter density in superior temporal gyrus, cuneus, midbrain and cerebellum (P < 0.001 uncorrected). This meta-analysis confirmed that medication overuse headache is associated with morphologic alteration in the reward system, the prefrontal cortex and a reversible modification in the pain network. Further functional imaging paradigms and longitudinal studies are required for a more definite conclusion and a causal mechanism.
Decision Support Systems in HF based on Deep Learning Technologies
Authors: Penso Marco , Solbiati Sarah , Moccia Sara , Caiani Enrico G. 
Published: February 2022

Abstract
Purpose of Review
Application of deep learning (DL) is growing in the last years, especially in the healthcare domain. This review presents the current state of DL techniques applied to electronic health record structured data, physiological signals, and imaging modalities for the management of heart failure (HF), focusing in particular on diagnosis, prognosis, and re-hospitalization risk, to explore the level of maturity of DL in this field.

Recent Findings
DL allows a better integration of different data sources to distillate more accurate outcomes in HF patients, thus resulting in better performance when compared to conventional evaluation methods. While applications in image and signal processing for HF diagnosis have reached very high performance, the application of DL to electronic health records and its multisource data for prediction could still be improved, despite the already promising results.

Summary
Embracing the current big data era, DL can improve performance compared to conventional techniques and machine learning approaches. DL algorithms have potential to provide more efficient care and improve outcomes of HF patients, although further investigations are needed to overcome current limitations, including results generalizability and transparency and explicability of the evidences supporting the process.
BEAR1, a bHLH Transcription Factor, Controls Salt Response Genes to Regulate Rice Salt Response
Authors: Teng Yantong , Lv Min , Zhang Xiangxiang , Cai Maohong , Chen Tao 
Published: February 2022

AbstractTranscription factors play important roles in plant abiotic stresses. However, there are a large number of TF functions in rice salt response need to be characterized. Our study identified a new transcription factor, BEAR1, acts as a regulator of rice salt response. We used artificial microRNA to generate BEAR1 knockdown transgenic rice, and CRISPR to generate BEAR1 gene editing mutant lines. Both knockdown lines and mutant lines showed salt sensitive phenotypes, compared to NIP. Transient expression in rice protoplast was used to confirm the subcellular localization of BEAR1. The transcription activity of BEAR1 was detected by yeast system. BEAR1 was induced by salt stress and dominantly expressed in root at seedling stage and spikelet at mature stage. BEAR1 regulating rice salt response by controlling expression levels of many salt-related genes, including salt response marker genes and ion transporter genes. The study revealed that BEAR1 was a regulator of rice salt response.
The ForEx++ based decision tree ensemble approach for robust detection of Parkinson’s disease
Authors: Pramanik Moumita , Pradhan Ratika , Nandy Parvati , Bhoi Akash Kumar , Barsocchi Paolo 
Published: February 2022

AbstractThe progressive reduction of dopaminergic neurons in the human brain, especially at the substantia nigra is one of the principal causes of Parkinson’s Disease (PD). Voice alteration is one of the earliest symptoms found in PD patients. Therefore, the impaired PD subjects’ acoustic voice signal plays a crucial role in detecting the presence of Parkinson's. This manuscript presents four distinct decision tree ensemble methods of PD detection on a trailblazing ForEx++ rule-based framework. The Systematically Developed Forest (SysFor) and a Penalizing Attributes Decision Forest (ForestPA) ensemble approaches has been used for PD detection. The proposed detection schemes efficiently identify positive subjects using primary voice signal features, viz., baseline, vocal fold, and time–frequency. A novel feature selection scheme termed Feature Ranking to Feature Selection (FRFS) has also been proposed to combine filter and wrapper strategies. The proposed FRFS scheme encompasses Gel’s normality test to rank and selects outstanding features from baseline, time–frequency, and vocal fold feature groups. The SysFor and ForestPA decision forests underneath the ForEx++ rule-based framework on both FRFS feature ranking and subset selection represents Parkinson’s detection approaches, which expedite a better overall impact on segregating PD from control subjects. It has been observed that the ForestPA decision forest in the ForEx++ framework on FRFS ranked features proved to be a robust Parkinson’s detection scheme. The proposed models deliver the highest accuracy of 94.12% and a lowest mean absolute error of 0.25, resulting in an Area Under Curve (AUC) value of 0.97.
Environmental impacts of organic agriculture and the controversial scientific debates
Authors: Debuschewitz Emil , Sanders Jürn 
Published: February 2022

Abstract
The environmental impacts of organic agriculture have been controversially discussed in the scientific community for many years. There are still conflicting views on how far organic agriculture can help address environmental and resource challenges, and whether its promotion is an appropriate policy approach to solving existing socioecological problems. So far, no clear perspective on these questions has been established. How can this be explained? And is there a “lock-in” of the scientific discourse? The aim of this paper is to retrace the scientific discourse on this topic and to derive possible explanations as to why environmental impacts of organic agriculture continue to be assessed differently. To this end, a qualitative content analysis was conducted with a sample of n = 93 scientific publications. In addition, expert interviews were conducted to verify the results of the literature analysis. Two main lines of discussion were identified: first, the extent to which aspects of food security should be included in the assessment of environmental aspects (thematic frame); second, the extent to which net environmental impacts or possible leakage effects because of lower yield levels should be considered (spatial frame). It is concluded that the polarizing debate mainly results from the often-binary initial question (is organic agriculture superior to conventional agriculture?). Further, aspects that have been insufficiently illuminated so far, such as the choice of reference units or normative basic assumptions in scientific sustainability assessments, should be given greater consideration in the discourse.
Where Do Mistakes Lead? A Survey of Games with Incompetent Players
Authors: Graham Thomas , Kleshnina Maria , Filar Jerzy A. 
Published: February 2022

AbstractMathematical models often aim to describe a complicated mechanism in a cohesive and simple manner. However, reaching perfect balance between being simple enough or overly simplistic is a challenging task. Frequently, game-theoretic models have an underlying assumption that players, whenever they choose to execute a specific action, do so perfectly. In fact, it is rare that action execution perfectly coincides with intentions of individuals, giving rise to behavioural mistakes. The concept of incompetence of players was suggested to address this issue in game-theoretic settings. Under the assumption of incompetence, players have non-zero probabilities of executing a different strategy from the one they chose, leading to stochastic outcomes of the interactions. In this article, we survey results related to the concept of incompetence in classic as well as evolutionary game theory and provide several new results. We also suggest future extensions of the model and argue why it is important to take into account behavioural mistakes when analysing interactions among players in both economic and biological settings.
Manure biostabilization by effective microorganisms as a way to improve its agronomic value
Authors: Hidalgo D. , Corona F. , Martín-Marroquín J.M. 
Published: February 2022

AbstractThe traditional logic behind effective microorganism is based on a media inoculation with mixed cultures of beneficial microorganisms to create a more favorable environment for plant growth and health when the media is the soil. Following this rationale, other research works have been focused on studying the effect of effective microorganisms when they are used as manure stabilizing agents, in some cases by including them in animal diets, reporting, in all cases, beneficial properties. However, the use of effective microorganisms is not yet widespread. One reason may be that no rigorous research has so far been done on the actual utility of these mixed cultures on manure stabilization and crop production. In this work, the potential uses of effective microorganisms are shown with the focus on evaluating the influence of these mixed cultures on the biostabilization of manure before its use as fertilizer. This work also presents some new perspectives on the role and application of effective microorganisms as microbial inoculants to achieve a microbiological balance of manure so that it can improve its quality, increasing production and protection of crops when applied as fertilizer, helping to conserving natural resources and creating a more sustainable agriculture and environment. Finally, this document also reviews strategies on how to improve the effect of effective microorganisms after their inoculation into the soil as part of the manure.
A case study in citizen environmental humanities: creating a participatory plant story website
Authors: Gianquitto Tina , LaFauci Lauren 
Published: February 2022

AbstractPublic engagement in crowd-sourced science projects such as iNaturalist or the Audubon Christmas Bird Count is a long-established practice within environmental studies and sciences. As a corollary to these “citizen science” efforts, “citizen humanities” engages public participation in humanities research and/or with humanities tools such as creative writing, photography, art-making, or conducting and recording interviews. In this essay, we outline our work creating a citizen environmental humanities website,Herbaria 3.0, including our motivations, process, and theoretical underpinnings. This project draws upon the critical understanding within environmental studies of the importance of narrative and storytelling for fostering a connection and commitment to environments and nonhuman beings. Situated within the field of environmental humanities, our website solicits, collects, and archives stories about the manifold relationships between plants and people, inviting visitors to read, share, or write their own story for digital publication. The kind of environmental storytelling that results, we argue, can (1) enrich our conceptualization of attachment to places, (2) expand our notion of what “counts” as an encounter with nature, and (3) help us recognize the agency of individual plants. We conclude that similar citizen humanities projects are crucial to the ongoing work of environmental humanities and environmental studies at large, for it is through such public engagement that we can meet the cultural challenges that seeded, and the societal problems occasioned by, ongoing climate change.
Influence of rotational speed on the electrical and mechanical properties of the friction stir spot welded aluminium alloy sheets
Authors: Labus Zlatanovic Danka , Bergmann Jean Pierre , Balos Sebastian , Gräzel Michael , Pejic Dragan , Sovilj Platon , Goel Saurav 
Published: February 2022

AbstractAn efficient and productive joining technique to weld aluminium has become a priority challenge for promoting the use of aluminium in the electrical industry. One of the challenges is to obtain welds with superior mechanical properties with the consistent quality of weld surface as well as low electrical resistance. In this paper, the influence of rotational speed during the friction stir spot welding of AA 5754-H111 was studied to analyse the mechanical and electrical properties of the welds. The results from two rotational speeds (1000 rpm and 4500 rpm) are presented and compared to the base material. It was observed that the samples welded at 1000 rpm showed a higher average shear failure load (~ 1.1 kN) compared to the samples welded at 4500 rpm (~ 0.94 kN). The microhardness of the samples welded at 1000 rpm was higher than that of the base material, while the microhardness of samples welded at 4500 rpm was lower. It was also found that the friction welded sheets, regardless of the rotational speed used, showed increased electrical resistance compared to the base material, albeit this increase for the samples welded at 1000 rpm was about 42%, compared to samples welded at 4500 rpm where this increase was just 14%.
How Does the Provision of Guided Notes Affect Student Learning in Undergraduate Mathematics?
Authors: Krapf Regula , Pfefferkorn Luca 
Published: February 2022

AbstractNote-taking in tertiary education is a challenging activity which requires listening, processing and recording new information at the same time. However, in lectures at a high presentation rate, students often have to choose between these activities. One solution which is frequently proposed to mitigate this problem is the use of guided notes, instructor-provided handouts containing blanks that are filled in class. In this article, we investigate how the provision of guided notes in an undergraduate mathematics course can support student learning. A self-report survey reveals that students value guided notes as a tool to remain focussed during the lecture, to process and store new information and to foster active engagement. Moreover, they prefer guided notes both compared to lectures without instructor-provided notes and with full notes.
The effect of various simultaneous sources of mechanical error in the estimators of correlation causing deflation in reliability: seeking the best options of correlation for deflation-corrected reliability
Authors: Metsämuuronen Jari 
Published: February 2022

AbstractEstimates of reliability by traditional estimators are deflated, because the item-total or item-score correlation (Rit) or principal component or factor loading (λi) embedded in the estimators are seriously deflated. Different optional estimators of correlation that can replace Rit and λi are compared in this article. Simulations show that estimators such as polychoric correlation (RPC), gamma (G), dimension-corrected G (G2), and attenuation-corrected Rit (RAC) and eta (EAC) reflect the true correlation without any loss of information with several sources of technical or mechanical error in the estimators of correlation (MEC) including extreme item difficulty and item variance, small number of categories in the item and in the score, and the varying distributions of the latent variable. To obtain deflation-corrected reliability, RPC, G, G2, RAC, and EAC are likely to be the best options closely followed by r-bireg or r-polyreg coefficient (RREG).
Diversity in morphotypes and necrotrophic effectors (Nes) of Pyrenophora tritici-repentis strains in Latvia and Belarus
Authors: Kaņeps J. , Moročko-Bičevska I. , Bankina B. , Fridmanis D. , Roga A. , Zhukovski A. , Krupenko N. , Buga S. , Odintsova I. , Radivon V. 
Published: February 2022

AbstractPyrenophora tritici-repentis (Ptr), family Pleosporaceae, is a common wheat pathogen in all wheat-growing regions around the globe. It is widely studied in North America, South America, and North Africa, while data about the fungus genetic diversity in Europe is still insufficient. This study aimed to describe the variation of morphological traits and toxin production of strains collected in Latvia and Belarus. Twenty-one isolates from Latvia, and 12 from Belarus were sampled in 2019 for morphological evaluation in culture and necrotrophic effector gene determination by PCR. All isolates were grouped into nine different morphotypes. Five of these morphotypes were unique for isolates from Latvia, one for Belarus, and three morphotypes were occurring in both countries. No association between the host and the pathogen morphotype was observed. ToxA gene was detected in 44% of the analysed isolates. For 52% of the isolates, PCR did not confirm the presence of any known effector genes of Pyrenophora tritici-repentis. ToxB and toxb were found only in one isolate from Latvia. The studies need to be continued to evaluate the diversity of the pathogen depending on the host species.
Evaluation of dry specimen transport and processing time using an isothermal amplification high-risk human papillomavirus assay
Authors: Hu Longhua , Wu Suhui , Shang Haixia , Belinson Jerome , Li Jinhong , Wu Xiaoqin , Huang Yaling , Sun Jingfen 
Published: February 2022

AbstractBackgroundDry specimen transport has shown equivalence to traditional liquid transport using a novel high-risk Human papillomavirus assay. Considering that dry transport might cross obstacles during cervical cancer screening in low and middle resource settings, this study was designed evaluate different processing time of dry specimen transport using the same isothermal amplification hrHPV assay.MethodsThere were 564 women between the ages of 30–55 recruited from colposcopy clinic. For each patient, two endocervical samples were collected and placed into empty collection tubes by physician. Samples were stored at room temperature until analyzed for hrHPV using the AmpFire assay at two time points: 2 days and 2 weeks. 511 of the 564 participants with positive hrHPV were provided colposcopy exam and quadrant biopsy.ResultsA total of 1128 endocervical samples from 564 patients were detected by the Ampfire assay. Good agreement was found between two time periods (Kappa ​± ​Standard error ​= ​0.67 ​± ​0.04). Sensitivity (2days/2weeks) for CIN2+ was 95.28% (95% CI: 92.14%–98.42%) vs 90.57% (CI (86.65%–94.49%) and specificity (2days/2weeks) was 22.47% (CI 19.33%–25.61%) vs 28.15% (CI 24.23%–32.07%) respectively. The difference for Ampfire HPV detection in sensitivity for CIN2+ for the two time periods was not significant (P ​= ​0.227), while the difference in specificity for CIN2+ was significant (P ​= ​0.001). The difference in Ct values 29.23 (CI 28.15–30.31) and 29.27 (CI 28.19–30.35) between two time points was not significant (P ​= ​0.164).ConclusionProcessing dry brush specimens can be delayed up to 2 weeks. Using the AmpFire assay platform which supports cervical cancer prevention programs in low-to-middle-income countries (LMICs).
Demand for an Environmental Public Good in the Time of COVID-19: A Statewide Water Quality Referendum
Authors: Parsons George , Paul Laura A. , Messer Kent D. 
Published: February 2022

AbstractDue to COVID-19, many households faced hardships in the spring of 2020 – unemployment, an uncertain economic future, forced separation, and more. At the same time, the number of people who participated in outdoor recreation in many areas increased, as it was one of the few activities still permitted. How these experiences affect the public’s willingness to pay (WTP) for environmental public goods is unknown. During the early months of the pandemic, we conducted a stated preference survey to value statewide water quality improvements in Delaware. While a majority of participants report experiencing hardship of some sort (economic, emotional, etc.), mean household WTP declined by only 7 % by May 2020.