bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamics Modeling of Human–Machine Control Interface for Underwater Teleoperation
Authors: Muscolo Giovanni Gerardo , Marcheschi Simone , Fontana Marco , Bergamasco Massimo 
Published: July 2020

SUMMARYThis paper presents an experimental study on new paradigms of haptic-based teleoperated navigation of underwater vehicles. Specifically, the work is focused on investigating the possibility of enhancing the user interaction by introducing haptic cues at the level of the user wrist providing a force feedback that reflects dynamic forces on the remotely operated underwater vehicle. Different typologies of haptic controllers are conceived and integrated with a real-time simulated model of an underwater robotic vehicle. An experimental test is designed to evaluate the usability of the system and to provide information on the global performance during the execution of simple tasks. Experiments are conducted with 7 candidates testing 12 different controllers. Among these, the most effective strategies have been identified and selected on the basis of minimization of errors on the vehicle trajectory and of the quality of the user’s interaction in terms of perceived comfort during operation. Overall, the results obtained with this study underline that haptic navigation control can have a positive influence on the performance of remotely controlled underwater vehicles.
Large triangle packings and Tuza’s conjecture in sparse random graphs
Authors: Bennett Patrick , Dudek Andrzej , Zerbib Shira 
Published: July 2020

AbstractThe triangle packing number v(G) of a graph G is the maximum size of a set of edge-disjoint triangles in G. Tuza conjectured that in any graph G there exists a set of at most 2v(G) edges intersecting every triangle in G. We show that Tuza’s conjecture holds in the random graph G = G(n, m), when m ⩽ 0.2403n3/2 or m ⩾ 2.1243n3/2. This is done by analysing a greedy algorithm for finding large triangle packings in random graphs.
It’s (Not) in The Reading: American Government Textbooks’ Limited Representation of Historically Marginalized Groups
Authors: Brandle Shawna M. 
Published: July 2020

ABSTRACTThe Introduction to American Government course, and its textbook, is a nearly universal experience for students in American colleges and universities, but what exactly is being taught in this course? Do the textbooks used in this widely taught course accurately reflect the diversity of populations and experiences in the United States? More specifically, how do textbooks for Introduction to American Government cover historically marginalized groups, if at all? This article builds on previous work by analyzing the representation of individual historically marginalized groups to conduct index search and content analyses on traditionally published and openly licensed (i.e., open educational resources [OER]) textbooks. This study finds that American government textbooks include little coverage of any historically marginalized groups, and that OER textbooks are average in this respect, doing neither better nor worse than their traditionally published counterparts.
Assessment of an adolescent-girl-focused nutritional educational intervention within a girls’ empowerment programme: a cluster randomised evaluation in Zambia
Authors: Hewett Paul C , Willig Amanda L , Digitale Jean , Soler-Hampejsek Erica , Behrman Jere R , Austrian Karen 
Published: July 2020

AbstractObjective:Adolescent girls are at risk for both macro- and micronutrient deficiencies affecting growth, maternal and child health. This study assessed the impact of an adolescent-girl-tailored nutritional education curriculum on nutritional outcomes, including knowledge, dietary behaviour, anthropometry and anaemia.Design:A cluster-randomised evaluation was conducted with two study arms: girls in mentor-led weekly girls’ groups receiving sexual and reproductive health and life-skills training assigned to an age-appropriate nutritional curriculum and control girls in the weekly girls’ groups without the nutritional education. The primary analysis was intent-to-treat (ITT) generalised least squares regression. Secondary analysis using two-stage, instrumental-variables estimation was also conducted.Setting:The intervention and evaluation were conducted in urban and rural areas across four of ten provinces in Zambia.Participants:In total, 2660 girl adolescents aged 10–19 years were interviewed in 2013 (baseline) and annually through 2017.Results:ITT results indicate that exposure to the nutritional educational programme did not meaningfully change outcomes for adolescents or their children. Intervention adolescents were no more likely to correctly identify healthy foods (P = 0·51) or proper infant-feeding practices (P = 0·92); were no less likely to be stunted (P = 0·30) or underweight (P = 0·87) and no less likely to be anaemic (P = 0·38). Outcomes for children of intervention participants were not improved, including being breastfed (P = 0·42), stunted (P = 0·21), wasted (P = 0·77) or anaemic (P = 0·51).Conclusions:Even a high-quality nutritional educational intervention tailored to adolescents within an empowerment programme does not assure improved nutritional outcomes; adolescent preferences, resource control and household dynamics require consideration in the context of nutritional educational programmes.
A multi-function resonator based on an asymmetric tri-post rectangular waveguide section
Authors: Mospan Lyudmila P. , Steshenko Sergiy O. 
Published: July 2020

AbstractA novel waveguide resonator is proposed in the paper. The resonator is composed of three rectangular partial-height posts inserted along a rectangular waveguide cross-section. A pair of lateral posts is mounted symmetrically whereas the third antipodal post is centered. The resonator enables bandreject, singlet-type, and pseudoelliptic responses. The operating regimes are achieved by a manipulation with the pair of lateral posts, namely by changing their heights or their locations in a waveguide cross-section. A filtering function is realized as the third mode is exploited as the resonant one. Measurement data are presented for WR90 waveguide. An explanation of the resonant phenomena in post-based sections in terms of eigen regimes and interacting oscillations is proposed.
Improving the Retrieval of Offshore‐Onshore Correlation Functions With Machine Learning
Authors: Viens Loïc , Iwata Tomotaka 
Published: July 2020

AbstractThe retrieval of reliable offshore‐onshore correlation functions is critical to improve our ability to predict long‐period ground motions from megathrust earthquakes. However, localized ambient seismic field sources between offshore and onshore stations can bias correlation functions and generate nonphysical arrivals. We present a two‐step method based on unsupervised learning to improve the quality of correlation functions calculated with the deconvolution technique (e.g., deconvolution functions, DFs). For a DF data set calculated between two stations over a long time period, we first reduce the data set dimensions using the principal component analysis and cluster the features of the low‐dimensional space with a Gaussian mixture model. We then stack the DFs belonging to each cluster together and select the best stacked DF. We apply our technique to DFs calculated every 30 min between an offshore station located on top of the Nankai Trough, Japan, and 78 onshore receivers. Our method removes spurious arrivals and improves the signal‐to‐noise ratio of DFs. Most 30‐min DFs selected by our clustering method are generated during extreme meteorological events such as typhoons. To demonstrate that the DFs obtained with our method contain reliable phases and amplitudes, we use them to simulate the long‐period ground motions from aMw5.8 earthquake, which occurred near the offshore station. Results show that the earthquake long‐period ground motions are accurately simulated. Our method can easily be used as an additional processing step when calculating offshore‐onshore DFs and offers a new way to improve the prediction of long‐period ground motions from potential megathrust earthquakes.
Scalewise Return to Isotropy in Stratified Boundary Layer Flows
Authors: Ayet A. , Katul G. G. , Bragg A. D. , Redelsperger J. L. 
Published: July 2020

AbstractAnisotropic turbulence is ubiquitous in atmospheric and oceanic boundary layers due to differences in energy injection mechanisms. Unlike mechanical production that injects energy in the streamwise velocity component, buoyancy affects only the vertical velocity component. This anisotropy in energy sources, quantified by the flux Richardson number Rif, is compensated by a “return to isotropy” (RTI) tendency of turbulent flows. Describing RTI in Reynolds‐averaged models and across scales continues to be a challenge in stratified turbulent flows. Using phenomenological models for spectral energy transfers, the necessary conditions for which the widely‐used Rotta model captures RTI across various Rif and eddy sizes are discussed for the first time. This work unravels adjustments to the Rotta constant, with Rif and scale, necessary to obtain consistency between RTI models and the measured properties of the atmospheric surface layer for planar‐homogeneous and stationary flows in the absence of subsidence. A range of Rif and eddy sizes where the usage of a conventional Rotta model is prohibited is also found. Those adjustments lay the groundwork for new closure schemes.
Comparison of hydroxyapatite and fluoride oral care gels for remineralization of initial caries: a pH-cycling study
Authors: Amaechi Bennett T. , AbdulAzees Parveez Ahamed , Okoye Linda O. , Meyer Frederic , Enax Joachim 
Published: July 2020

Abstract
Objective
The present in vitro study investigated if simulated daily use of hydroxyapatite-based gel (15% HAP) remineralizes early caries lesions as effective as weekly use of high fluoride (12,500 ppm) concentration gel, comparing them with artificial saliva alone.

Materials and methods
Three tooth blocks were produced from each of 20 bovine teeth. Caries-like lesion was created on each block by 4-day demineralization in acidified gel. The blocks were randomized into three remineralization groups (20 blocks/group); Hydroxyapatite-based gel (Karex gelée, 15% HAP, fluoride-free), fluoride-based gel (Elmex gelée, 12,500 ppm F−), and artificial saliva (AS). Remineralization was conducted using pH-cycling model for 28 days with storage in AS. The pH cycling model consisted of 2 h demineralization once daily for all groups, and 3 min HAP gel application once daily, 3 min fluoride gel application once weekly, or remain in AS only respectively. Baseline and post-test mineral loss were quantified using microradiography.

Results
Paired t-tests (baseline vs. post-Test) indicated significant (p < 0.0001) remineralization in all groups. When compared against each other using Games-Howell’s multiple comparison test, no significant difference in remineralization was observed between the two gels, but both gels exhibited significantly (p < 0.001) higher percentage mineral gain (HAP:39 ± 7%; fluoride:41 ± 11%) than AS alone (6 ± 2%).

Conclusion
Hydroxyapatite-based gel (15% HAP) was as effective as fluoride-based gel (12,500 ppm F−) in remineralizing initial caries lesion.
An enhanced chemopreventive effect of methyl donor S-adenosylmethionine in combination with 25-hydroxyvitamin D in blocking mammary tumor growth and metastasis
Authors: Mahmood Niaz , Arakelian Ani , Muller William J. , Szyf Moshe , Rabbani Shafaat A. 
Published: July 2020

AbstractTherapeutic targeting of metastatic breast cancer still remains a challenge as the tumor cells are highly heterogenous and exploit multiple pathways for their growth and metastatic spread that cannot always be targeted by a single-agent monotherapy regimen. Therefore, a rational approach through simultaneous targeting of several pathways may provide a better anti-cancer therapeutic effect. We tested this hypothesis using a combination of two nutraceutical agents S-adenosylmethionine (SAM) and Vitamin D (Vit. D) prohormone [25-hydroxyvitamin D; ‘25(OH)D’] that are individually known to exert distinct changes in the expression of genes involved in tumor growth and metastasis. Our results show that both SAM and 25(OH)D monotherapy significantly reduced proliferation and clonogenic survival of a panel of breast cancer cell lines in vitro and inhibited tumor growth, lung metastasis, and breast tumor cell colonization to the skeleton in vivo. However, these effects were significantly more pronounced in the combination setting. RNA-Sequencing revealed that the transcriptomic footprint on key cancer-related signaling pathways is broader in the combination setting than any of the monotherapies. Furthermore, comparison of the differentially expressed genes from our transcriptome analyses with publicly available cancer-related dataset demonstrated that the combination treatment upregulates genes from immune-related pathways that are otherwise downregulated in bone metastasis in vivo. Since SAM and Vit. D are both approved nutraceuticals with known safety profiles, this combination treatment may serve as a novel strategy to reduce breast cancer-associated morbidity and mortality.
Circular RNA circCTNNA1 promotes colorectal cancer progression by sponging miR-149-5p and regulating FOXM1 expression
Authors: Chen Pengju , Yao Yunfeng , Yang Nan , Gong Lifei , Kong Yuanyuan , Wu Aiwen 
Published: July 2020

AbstractCircular RNAs (circRNAs) are an emerging class of non-coding RNAs, identified to participate in multiple malignancies. Nevertheless, the clinical significance, biological function, and regulatory mechanisms of circRNAs in colon cancer (CC) remain largely unclear. In this study, the circRNA expression profile in CC and matched normal tissues was analyzed using circRNA microarrays. A novel circRNA, circCTNNA1, was significantly upregulated in CC, and its level was associated with advanced tumor–node–metastasis stage and poor prognosis of patients with CC. Functional experiments, including Cell Counting Kit-8, colony formation, 5‐ethynyl‐2′‐deoxyuridine, transwell, wound healing, flow cytometric analysis, and in vivo tumorigenesis assay were then performed to investigate the oncogenic role of circCTNNA1. The results revealed that circCTNNA1 promoted CC cell proliferation, migration, and invasion in vitro and in vivo. Mechanistically, RNA pull-down, RNA immunoprecipitation, dual-luciferase reporter assays, and fluorescent in situ hybridization were performed to unveil that circCTNNA1 can serve as a competing endogenous RNA of miR-149-5p to counteract the suppressive effect of miR-149-5p on downstream target Forkhead Box M1 (FOXM1). In summary, our study demonstrated that circCTNNA1 facilitated CC proliferation and invasion via the circCTNNA1/miR-149-5p/FOXM1 axis, and it might function as a novel diagnostic or therapeutic target for patients with CC.
Chelating-agent-assisted control of CsPbBr3 quantum well growth enables stable blue perovskite emitters
Authors: Wang Ya-Kun , Ma Dongxin , Yuan Fanglong , Singh Kamalpreet , Pina Joao M. , Johnston Andrew , Dong Yitong , Zhou Chun , Chen Bin , Sun Bin , Ebe Hinako , Fan James , Sun Meng-Jia , Gao Yuan , Lu Zheng-Hong , Voznyy Oleksandr , Liao Liang-Sheng , Sargent Edward H. 
Published: July 2020

AbstractMetal halide perovskites have emerged as promising candidates for solution-processed blue light-emitting diodes (LEDs). However, halide phase segregation – and the resultant spectral shift – at LED operating voltages hinders their application. Here we report true-blue LEDs employing quasi-two-dimensional cesium lead bromide with a narrow size distribution of quantum wells, achieved through the incorporation of a chelating additive. Ultrafast transient absorption spectroscopy measurements reveal that the chelating agent helps to control the quantum well thickness distribution. Density functional theory calculations show that the chelating molecule destabilizes the lead species on the quantum well surface and that this in turn suppresses the growth of thicker quantum wells. Treatment with γ-aminobutyric acid passivates electronic traps and enables films to withstand 100 °C for 24 h without changes to their emission spectrum. LEDs incorporating γ-aminobutyric acid-treated perovskites exhibit blue emission with Commission Internationale de l'Éclairage coordinates of (0.12, 0.14) at an external quantum efficiency of 6.3%.
RETRACTED ARTICLE: Dishonesty is more affected by BMI status than by short-term changes in glucose
Authors: Polizzi di Sorrentino Eugenia , Herrmann Benedikt , Villeval Marie Claire 
Published: July 2020

AbstractThere is evidence that human decision-making is affected by current body energy levels and physiological states. There is less clear evidence linking decision-making to long-term changes in energy, as those associated with obesity. We explore the link between energy, obesity and dishonesty by comparing the behaviour of obese and lean subjects when hungry or sated while playing an anonymous die-under-cup task. Participants performed the task either before or after breakfast. We find that short-term switches in energy have only a mild effect on dishonesty, as only lean females lie less when sated. By contrast, obese subjects lie more than lean subjects in both conditions, and they lie more to avoid the lowest payoff than to get the highest payoff. Our findings suggest that the observed patterns are more likely mediated by factors associated with obesity than by short term energy dynamics, and call for a better integration of the psychological, economic and biological drivers of moral behaviour.
Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018
Authors: Wang Yuejiao , Cao Zhidong , Zeng Daniel , Wang Xiaoli , Wang Quanyi 
Published: July 2020

AbstractHand-foot-and-month disease (HFMD), especially the enterovirus A71 (EV-A71) subtype, is a major health problem in Beijing, China. Previous studies mainly used regressive models to forecast the prevalence of HFMD, ignoring its intrinsic age groups. This study aims to predict HFMD of EV-A71 subtype in three age groups (0–3, 3–6 and > 6 years old) from 2011 to 2018 using residual-convolutional-recurrent neural network (CNNRNN-Res), convolutional-recurrent neural network (CNNRNN) and recurrent neural network (RNN). They were compared with auto-regressio, global auto-regression and vector auto-regression on both short-term and long-term prediction. Results showed that CNNRNN-Res and RNN had higher accuracies on point forecast tasks, as well as robust performances in long-term prediction. Three deep learning models also had better skills in peak intensity forecast, and CNNRNN-Res achieved the best results in the peak month forecast. We also found that three age groups had consistent outbreak trends and similar patterns of prediction errors. These results highlight the superior performance of deep learning models in HFMD prediction and can assist the decision-makers to refine the HFMD control measures according to age groups.
Transcriptomic and network analyses reveal distinct nitrate responses in light and dark in rice leaves (Oryza sativa Indica var. Panvel1)
Authors: Pathak Ravi Ramesh , Jangam Annie Prasanna , Malik Aakansha , Sharma Narendra , Jaiswal Dinesh Kumar , Raghuram Nandula 
Published: July 2020

AbstractNitrate (N) response is modulated by light, but not understood from a genome-wide perspective. Comparative transcriptomic analyses of nitrate response in light-grown and etiolated rice leaves revealed 303 and 249 differentially expressed genes (DEGs) respectively. A majority of them were exclusive to light (270) or dark (216) condition, whereas 33 DEGs were common. The latter may constitute response to N signaling regardless of light. Functional annotation and pathway enrichment analyses of the DEGs showed that nitrate primarily modulates conserved N signaling and metabolism in light, whereas oxidation–reduction processes, pentose-phosphate shunt, starch-, sucrose- and glycerolipid-metabolisms in the dark. Differential N-regulation of these pathways by light could be attributed to the involvement of distinctive sets of transporters, transcription factors, enriched cis-acting motifs in the promoters of DEGs as well as differential modulation of N-responsive transcriptional regulatory networks in light and dark. Sub-clustering of DEGs-associated protein–protein interaction network constructed using experimentally validated interactors revealed that nitrate regulates a molecular complex consisting of nitrite reductase, ferredoxin-NADP reductase and ferredoxin. This complex is associated with flowering time, revealing a meeting point for N-regulation of N-response and N-use efficiency. Together, our results provide novel insights into distinct pathways of N-signaling in light and dark conditions.
Stingless bee honey, a novel source of trehalulose: a biologically active disaccharide with health benefits
Authors: Fletcher Mary T. , Hungerford Natasha L. , Webber Dennis , Carpinelli de Jesus Matheus , Zhang Jiali , Stone Isobella S. J. , Blanchfield Joanne T. , Zawawi Norhasnida 
Published: July 2020

AbstractStingless bee (Meliponini) honey has long been considered a high-value functional food, but the perceived therapeutic value has lacked attribution to specific bioactive components. Examination of honey from five different stingless bee species across Neotropical and Indo-Australian regions has enabled for the first time the identification of the unusual disaccharide trehalulose as a major component representing between 13 and 44 g per 100 g of each of these honeys. Trehalulose is an isomer of sucrose with an unusual α-(1 → 1) glucose-fructose glycosidic linkage and known acariogenic and low glycemic index properties. NMR and UPLC-MS/MS analysis unambiguously confirmed the identity of trehalulose isolated from stingless bee honeys sourced across three continents, from Tetragonula carbonaria and Tetragonula hockingsi species in Australia, from Geniotrigona thoracica and Heterotrigona itama in Malaysia and from Tetragonisca angustula in Brazil. The previously unrecognised abundance of trehalulose in stingless bee honeys is concrete evidence that supports some of the reported health attributes of this product. This is the first identification of trehalulose as a major component within a food commodity. This study allows the exploration of the expanded use of stingless bee honey in foods and identifies a bioactive marker for authentication of this honey in associated food standards.