bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biotransformation of Barley Phenolamide by Mice and the Human Gut Microbiota and Quantitative Analysis of the Major Metabolites in Mice
Authors: Wang Weixin , Sang Shengmin 
Published: May 2022

ScopeThis study investigates the metabolism of p‐coumaroylagmatine (pCAA), one of the phenolamides in barley, in mice, and by human gut microbiota, and measures the concentrations of its main metabolites in mice.Methods and resultsNine major metabolites are identified from fecal and urinary samples collected from pCAA treated mice via analysis of their LC chromatograms and tandem mass spectra compared to the commercial and synthesized standards. These nine metabolites are generated through four different biotransformation pathways: double bond reduction, amide bond hydrolyzation, cleavage of guanidine, and oxidation of guanidine. Furthermore, interindividual differences in the formation of dihydro‐pCAA (M3), high and low metabolizers, are observed in human in vitro intestinal microbial conversion. Moreover, significant amount of pCAA is detected in mice (29.33 ± 1.58 µmol g−1 in feces and 2020.44 ± 130.07 µM in urine), and the concentrations of agmatine (M1) are increased to 177.6 times and 3.2 times in mouse feces and urine, respectively.ConclusionThis study demonstrates that pCAA is metabolized in mice and by human gut microbiota to generate potential bioactive metabolites through four major metabolic pathways. pCAA and its metabolites have the potential to be used as the exposure biomarkers to reflect the intake of whole grain barley.
Lactate saturation limits bicarbonate detection in hyperpolarized 13C‐pyruvate MRI of the brain
Authors: Bøgh Nikolaj , Grist James T. , Rasmussen Camilla W. , Bertelsen Lotte B. , Hansen Esben S. S. , Blicher Jakob U. , Tyler Damian J. , Laustsen Christoffer 
Published: May 2022

PurposeTo investigate the potential effects of [1‐13C]lactate RF saturation pulses on [13C]bicarbonate detection in hyperpolarized [1‐13C]pyruvate MRI of the brain.MethodsThirteen healthy rats underwent MRI with hyperpolarized [1‐13C]pyruvate of either the brain (n = 8) or the kidneys, heart, and liver (n = 5). Dynamic, metabolite‐selective imaging was used in a cross‐over experiment in which [1‐13C]lactate was excited with either 0° or 90° flip angles. The [13C]bicarbonate SNR and apparent [1‐13C]pyruvate‐to‐[13C]bicarbonate conversion (kPB) were determined. Furthermore, simulations were performed to identify the SNR optimal flip‐angle scheme for detection of [1‐13C]lactate and [13C]bicarbonate.ResultsIn the brain, the [13C]bicarbonate SNR was 64% higher when [1‐13C]lactate was not excited (5.8 ± 1.5 vs 3.6 ± 1.3; 1.2 to 3.3–point increase; p = 0.0027). The apparent kPB decreased 25% with [1‐13C]lactate saturation (0.0047 ± 0.0008 s−1 vs 0.0034 ± 0.0006 s−1; 95% confidence interval, 0.0006–0.0019 s−1 increase; p = 0.0049). These effects were not present in the kidneys, heart, or liver. Simulations suggest that the optimal [13C]bicarbonate SNR with a TR of 1 s in the brain is obtained with [13C]bicarbonate, [1‐13C]lactate, and [1‐13C]pyruvate flip angles of 60°, 15°, and 10°, respectively.ConclusionsRadiofrequency saturation pulses on [1‐13C]lactate limit [13C]bicarbonate detection in the brain specifically, which could be due to shuttling of lactate from astrocytes to neurons. Our results have important implications for experimental design in studies in which [13C]bicarbonate detection is warranted.
A nonequal gap distance dielectric barrier discharge: Between spiral‐shaped and cylinder‐shaped electrodes
Authors: Jin Shaohui , Zhao Feng , Nie Lanlan , Liu Dawei , Lu Xinpei 
Published: May 2022

AbstractIn this paper, a nonequal gap distance dielectric barrier discharge (DBD) between a spiral‐shaped electrode and a cylinder‐shaped electrode is reported. A spiral‐shaped plasma is generated when a nanosecond pulse voltage is applied to the two electrodes. The smaller the pitch of the spiral‐shaped electrode is, the more diffuse the plasma appears. The discharge current has a pulse width of more than 400 ns, which is much longer than that of ordinary DBDs in air. According to the high‐speed photographs of the plasma captured by an intensified charge‐coupled camera detector camera, the discharge first ignites at the position where the gap distance is smallest, then it propagates continuously along the spiral electrode with the increase of gap distance at a speed of about 106 m/s. Both the optical emission spectrum method and the electric field‐induced second harmonic method are employed for the measurement of the electric field at different locations. The obtained electric field from both methods have a good agreement and are in the range of 60–110 kV/cm depending on the gap distance of the locations, which is much higher than the breakdown voltage of air under direct current voltage. This structure can obtain diffuse plasma in a larger gap, which makes the application of DBD more extensive. And it also has a deeper understanding of DBD with nonequal gap distance.
Magnetic field effects on the structure and molecular behavior of pigeon iron–sulfur protein
Authors: Arai Shigeki , Shimizu Rumi , Adachi Motoyasu , Hirai Mitsuhiro 
Published: May 2022

AbstractPigeon iron–sulfur (Fe–S) cluster assembly 1 homolog (clISCA1) is a target protein for research into the biomagnetoreception mechanism, as the clCRY4/clISCA1 oligomer, a complex composed of the columnar clISCA1 oligomer and the magnetosensor candidate protein cryptochrome‐4 (clCRY4) oligomer, tends to orient itself along weak magnetic fields, such as geomagnetic fields, under blue light. To obtain insight into the magnetic orientation mechanism of the clCRY4/clISCA1 oligomer, we inspected magnetic field effects on the structure and molecular behavior of clISCA1 by small angle X‐ray scattering analysis. The results indicated that the clISCA1 protomer took the Fe–S cluster‐bound globular form and unbound rod‐like form. The globular clISCA1 protomer assembled to form columnar oligomers, which allowed for the binding of many Fe–S clusters at the interface between clISCA1 protomers. Moreover, the translational diffusion and the columnar oligomerization of clISCA1 were controlled by the external static magnetic field and Fe–S clusters bound to clISCA1. However, the columnar clISCA1 oligomer was not oriented along the external static magnetic field (~1 T) when clCRY4 was not bound to clISCA1. This result indicated that clCRY4 has a function to enhance the magnetic orientational property of clCRY4/clISCA1 oligomer.
Improving Thermal and Photostability of Polymer Solar Cells by Robust Interface Engineering
Authors: Su Li‐Yun , Huang Hsin‐Hsiang , Tsai Chang‐En , Hou Cheng‐Hung , Shyue Jing‐Jong , Lu Chien‐Hao , Pao Chun‐Wei , Yu Ming‐Hsuan , Wang Leeyih , Chueh Chu‐Chen 
Published: May 2022

AbstractAs the power conversion efficiency (PCE) of organic photovoltaics (OPVs) approaches 19%, increasing research attention is being paid to enhancing the device's long‐term stability. In this study, a robust interface engineering of graphene oxide nanosheets (GNS) is expounded on improving the thermal and photostability of non‐fullerene bulk‐heterojunction (NFA BHJ) OPVs to a practical level. Three distinct GNSs (GNS, N‐doped GNS (N‐GNS), and N,S‐doped GNS (NS‐GNS)) synthesized through a pyrolysis method are applied as the ZnO modifier in inverted OPVs. The results reveal that the GNS modification introduces passivation and dipole effects to enable better energy‐level alignment and to facilitate charge transfer across the ZnO/BHJ interface. Besides, it optimizes the BHJ morphology of the photoactive layer, and the N,S doping of GNS further enhances the interaction with the photoactive components to enable a more idea BHJ morphology. Consequently, the NS‐GNS device delivers enhanced performance from 14.5% (control device) to 16.5%. Moreover, the thermally/chemically stable GNS is shown to stabilize the morphology of the ZnO electron transport layer (ETL) and to endow the BHJ morphology of the photoactive layer grown atop with a more stable thermodynamic property. This largely reduces the microstructure changes and the associated charge recombination in the BHJ layer under constant thermal/light stresses. Finally, the NS‐GNS device is demonstrated to exhibit an impressive T80 lifetime (time at which PCE of the device decays to 80% of the initial PCE) of 2712 h under a constant thermal condition at 65 °C in a glovebox and an outstanding photostability with a T80 lifetime of 2000 h under constant AM1.5G 1‐sun illumination in an N2‐controlled environment.
Some Paradoxes of Infinity Revisited
Authors: Sergeyev Yaroslav D. 
Published: May 2022

AbstractIn this article, some classical paradoxes of infinity such as Galileo’s paradox, Hilbert’s paradox of the Grand Hotel, Thomson’s lamp paradox, and the rectangle paradox of Torricelli are considered. In addition, three paradoxes regarding divergent series and a new paradox dealing with multiplication of elements of an infinite set are also described. It is shown that the surprising counting system of an Amazonian tribe, Pirahã, working with only three numerals (one, two, many) can help us to change our perception of these paradoxes. A recently introduced methodology allowing one to work with finite, infinite, and infinitesimal numbers in a unique computational framework not only theoretically but also numerically is briefly described. This methodology is actively used nowadays in numerous applications in pure and applied mathematics and computer science as well as in teaching. It is shown in the article that this methodology also allows one to consider the paradoxes listed above in a new constructive light.
Full Reperfusion Without Functional Independence After Mechanical Thrombectomy in the Anterior Circulation
Authors: Weyland Charlotte S. , Vey Johannes A. , Mokli Yahia , Feisst Manuel , Kieser Meinhard , Herweh Christian , Schönenberge Silvia , Möhlenbruch Markus A. , Bendszus Martin , Ringleb Peter A. , Nagel Simon 
Published: May 2022

Abstract
Background and Purpose
Prediction of futile recanalization (FR), i.e. failure of long-term functional independence despite full reperfusion in mechanical thrombectomy (MT), is instrumental in patients undergoing endovascular therapy.

Methods
Retrospective single-center analysis of patients treated for anterior circulation LVO ensuing successful MT (mTICI 2c–3) between January 2014 and April 2019. FR was defined as modified Rankin Scale (mRS) 90 days after stroke onset > 2 or mRS > pre-stroke mRS. Multivariable analysis was performed with variables available before treatment initiation regarding their association with FR. Performance of the regression model was then compared with a model including parameters available after MT.

Results
Successful MT was experienced by 549/1146 patients in total. FR occurred in 262/549 (47.7%) patients. Independent predictors of FR were male sex, odds ratio (OR) with 95% confidence interval (CI) 1.98 (1.31–3.05, p 0.001), age (OR 1.05, CI 1.03–1.07, p < 0.001), NIHSS on admission (OR 1.10, CI 1.06–1.13, p < 0.001), pre-stroke mRS (OR 1.22, CI 1.03–1.46, p 0.025), neutrophile-lymphocyte ratio (OR 1.03, CI 1.00–1.06, p 0.022), baseline ASPECTS (OR 0.77, CI 0.68–0.88, p < 0.001), and absence of bridging i.v. lysis (OR 1.62, 1.09–2.42, p 0.016). The prediction model’s Area Under the Curve was 0.78 (CI 0.74–0.82) and increased with parameters available after MT to 0.86 (CI 0.83–0.89) with failure of early neurological improvement being the most important predictor of FR (OR 15.0, CI 7.2–33.8).

Conclusion
A variety of preinterventional factors may predict FR with substantial certainty, but the prediction model can still be improved by considering parameters only available after MT, in particular early neurological improvement.
The early and long-term outcomes of coronary artery bypass grafting added to aortic valve replacement compared to isolated aortic valve replacement in elderly patients: a systematic review and meta-analysis
Authors: D’Alessandro Stefano , Tuttolomondo Domenico , Singh Gurmeet , Hernandez-Vaquero Daniel , Pattuzzi Claudia , Gallingani Alan , Maestri Francesco , Nicolini Francesco , Formica Francesco 
Published: May 2022

AbstractIn aged population, the early and long-term outcomes of coronary revascularization (CABG) added to surgical aortic valve replacement (SAVR) compared to isolated SAVR (i-SAVR) are conflicting. To address this limitation, a meta-analysis comparing the early and late outcomes of SAVR plus CABG with i-SAVR was performed. Electronic databases from January 2000 to November 2021 were screened. Studies reporting early-term and long-term comparison between the two treatments in patients over 75 years were analyzed. The primary endpoints were in-hospital/30-day mortality and overall long-term survival. The pooled odd ratio (OR) and hazard ratio (HR) with 95% confidence interval (CI) were calculated for in-early outcome and long-term survival, respectively. Random-effect model was used in all analyses. Forty-four retrospective observational studies reporting on 74,560 patients (i-SAVR = 36,062; SAVR + CABG = 38,498) were included for comparison. The pooled analysis revealed that i-SAVR was significantly associated with lower rate of early mortality compared to SAVR plus CABG (OR = 0.70, 95% CI 0.66–0.75; p < 0.0001) and with lower incidence of postoperative acute renal failure (OR = 0.65; 95% CI 0.50–0.91; p = 0.02), need for dialysis (OR = 0.65; 95% CI 0.50–0.86; p = 0.002) and prolonged mechanical ventilation (OR = 0.57; 95% CI 0.42–0.77; p < 0.0001). Twenty-two studies reported data of long-term follow-up. No differences were reported between the two groups in long-term survival (HR = 0.95; 95% CI  0.87–1.03; p = 0.23). CABG added to SAVR is associated with worse early outcomes in terms of early mortality, postoperative acute renal failure, and prolonged mechanical ventilation. Long-term survival was comparable between the two treatments.
A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients
Authors: Arezzo Francesca , Cormio Gennaro , La Forgia Daniele , Santarsiero Carla Mariaflavia , Mongelli Michele , Lombardi Claudio , Cazzato Gerardo , Cicinelli Ettore , Loizzi Vera 
Published: May 2022

AbstractIn a growing number of social and clinical scenarios, machine learning (ML) is emerging as a promising tool for implementing complex multi-parametric decision-making algorithms. Regarding ovarian cancer (OC), despite the standardization of features that can support the discrimination of ovarian masses into benign and malignant, there is a lack of accurate predictive modeling based on ultrasound (US) examination for progression-free survival (PFS). This retrospective observational study analyzed patients with epithelial ovarian cancer (EOC) who were followed in a tertiary center from 2018 to 2019. Demographic features, clinical characteristics, information about the surgery and post-surgery histopathology were collected. Additionally, we recorded data about US examinations according to the International Ovarian Tumor Analysis (IOTA) classification. Our study aimed to realize a tool to predict 12 month PFS in patients with OC based on a ML algorithm applied to gynecological ultrasound assessment. Proper feature selection was used to determine an attribute core set. Three different machine learning algorithms, namely Logistic Regression (LR), Random Forest (RFF), and K-nearest neighbors (KNN), were then trained and validated with five-fold cross-validation to predict 12 month PFS. Our analysis included n. 64 patients and 12 month PFS was achieved by 46/64 patients (71.9%). The attribute core set used to train machine learning algorithms included age, menopause, CA-125 value, histotype, FIGO stage and US characteristics, such as major lesion diameter, side, echogenicity, color score, major solid component diameter, presence of carcinosis. RFF showed the best performance (accuracy 93.7%, precision 90%, recall 90%, area under receiver operating characteristic curve (AUROC) 0.92). We developed an accurate ML model to predict 12 month PFS.
Matheuristics: using mathematics for heuristic design
Authors: Boschetti Marco Antonio , Maniezzo Vittorio 
Published: May 2022

AbstractMatheuristics are heuristic algorithms based on mathematical tools such as the ones provided by mathematical programming, that are structurally general enough to be applied to different problems with little adaptations to their abstract structure. The result can be metaheuristic hybrids having components derived from the mathematical model of the problems of interest, but the mathematical techniques themselves can define general heuristic solution frameworks. In this paper, we focus our attention on mathematical programming and its contributions to developing effective heuristics. We briefly describe the mathematical tools available and then some matheuristic approaches, reporting some representative examples from the literature. We also take the opportunity to provide some ideas for possible future development.
Total trade, cereals trade and undernourishment: new empirical evidence for developing countries
Authors: Marson Marta , Saccone Donatella , Vallino Elena 
Published: May 2022

AbstractWhile trade policies are considered strategic to shape national food systems and promote food security, the ultimate impact of trade openness on hunger is still highly debated. Using a sample of 81 developing over the period 2001–2016 and principally focusing on the prevalence of undernourishment, this study provides new empirical evidence. Firstly, it estimates the impact of total trade differentiating the effects that pass through changes in real per capita income—i.e. on the economic access to food—from the residual effects that it directly has on the other dimensions of food security. Subsequently, it concentrates on cereals trade, that usually is the most affected by trade restrictions and the most correlated to undernourishment. Finally, it explores the different effects of cereals trade in terms of imports and exports. Three main conclusions emerge: (a) trade openness contributes to lower the prevalence of undernourishment in developing countries and most of this effect is not income-mediated but, rather, passes through the impacts that it directly has on the other dimensions of food security; (b) such impacts are mostly driven by the trade openness of the cereals sector where (c) its import component turns out to play the main role.
Learning different task spaces: how explored density aligns the Quiet Eye
Authors: Klostermann André , Reinbold Florian , Kredel Ralf 
Published: May 2022

AbstractIn the current study, predictions of a theoretical account to the explanation of the Quiet Eye (QE) were investigated. To this end, by manipulating the learning environment, participants (n = 52) learned an underhand throwing task which required to explore task-solution spaces of low vs. high density over a 4-week training phase (640 training trials). Although throwing performance was improved, surprisingly, in posttest and retention test shorter QE durations were found. It is speculated that on a short-time learning scale this effect might be explained by more efficient information processing. Moreover, a trend was observed which suggests that—in line with the inhibition hypothesis—when exploring high-density task-solution spaces longer QE durations are required. However, the rather small effect sizes necessitate further research, which will allow to manipulate the response–effect mappings more directly as, for example, in virtual environments.
Explaining BDI agent behaviour through dialogue
Authors: Dennis Louise A. , Oren Nir 
Published: May 2022

AbstractBDI agents act in response to external inputs and their internal plan library. Understanding the root cause of BDI agent action is often difficult, and in this paper we present a dialogue based approach for explaining the behaviour of a BDI agent. We consider two dialogue participants who may have different views regarding the beliefs, plans and external events which drove agent action (encoded via traces). These participants make utterances which incrementally reveal their traces to each other, allowing them to identify divergences in the traces, or to conclude that their traces agree. In practice, we envision a human taking on the role of a dialogue participant, with the BDI agent itself acting as the other participant. The dialogue then facilitates explanation, understanding and debugging of BDI agent behaviour. After presenting our formalism and its properties, we describe our implementation of the system and provide an example of its use in a simple scenario.
Transcriptomic profile of the predatory mite Amblyseius swirskii (Acari: Phytoseiidae) on different host plants
Authors: Paspati Angeliki , Urbaneja Alberto , González-Cabrera Joel 
Published: May 2022

AbstractAmblyseius swirskii Athias-Henriot (Acari: Phytoseiidae) is a predatory mite, effective at controlling whiteflies and thrips in protected crops. However, on tomato its efficacy as a biocontrol agent is hindered, most probably by the plant trichomes and their exudates. Our aim was to characterize the response of A. swirskii to the tomato trichome exudates and identify three major detoxification gene sets in this species: cytochromes P450 (CYPs), glutathione S-transferases (GSTs) and carboxyl/cholinesterases (CCEs). Mites were exposed separately to tomato and pepper, a favourable host plant for A. swirskii, after which their transcriptional responses were analysed and compared. The de novo transcriptome assembly resulted in 71,336 unigenes with 66.1% of them annotated. Thirty-nine A. swirskii genes were differentially expressed after transfer on tomato leaves when compared to pepper leaves; some of the expressed genes were associated with the metabolism of tomato exudates. Our results illustrate that the detoxification gene sets CYPs, GSTs and CCEs are abundant in A. swirskii, but do not play a significant role when in contact with the tomato exudates.
“Humans and records are entangled”: empathic engagement and emotional response in archivists
Authors: Regehr Cheryl , Duff Wendy , Aton Henria , Sato Christa 
Published: May 2022

AbstractThere is growing awareness in archival communities that working with records that contain evidence of human pain and suffering can result in unsettling emotions for archivists. One important finding of this work, however, is the considerable variability in not only the nature of responses, but also the nature of records that provoke emotional responses. Using in-depth qualitative interviews with 20 archivists from across Canada and one from the United States, and employing grounded theory methodology, this study sought to better understand the nature of emotional responses and factors associated with distress. Archivists described a wide range of reactions including shock, intrusive thoughts, profound senses of anger, sadness and despair, and ultimately at times disrupted functioning in personal and occupational spheres. One factor that has been associated with increasing vulnerability to distress in other occupational groups is empathic engagement, which is understood to have two elements: a vicarious emotional process and a cognitive process. This article explores the impact of personal connections and the nature of empathic engagement between archivists, donors, community researchers, and the records themselves on emotional response.