bluuebunny/crossref_metadata_2025_split huggingface dataset:
A minimized and efficient low temperature loading device for indentation
Authors: Wang S. B. , Wu O. Y. , Li S. R. , Wang Y. Y. , Zhao H. W. 
Published: September 2022

A minimized and efficient low temperature loading device cooling with Peltier coolers for indentation test is developed. Both specimen and indentation tip are immersed in 50% methanol–water solution, totally eliminating the contact thermal drift problem. Low temperature indentation tests down to 253.8 K can be realized within 10 min. The size of the device is miniaturized within 50 × 40 × 30 mm3, and no vacuum environment is required. Monocrystalline copper is tested to perform the feasibility of the device. Based on the simple structure and stable experimental effect, the developed device can be integrated into various types of current indentation devices to attach low temperature testing ability.
Theoretical dissociation, ionization, and spin–orbit energetics of the diatomic platinum hydrides PtH, PtH+, and PtH–
Authors: Irikura Karl K. 
Published: September 2022

Spin–orbit configuration interaction (SO-CI) and coupled-cluster [CCSDT(Q)] theoretical methods are combined to evaluate zero-temperature thermochemical properties of PtH, PtH+, and PtH−. We obtain vibrational zero-point energies and spin–orbit stabilization energies, which lead to predictions for observable quantities: ionization energy IE(PtH) = (9.44 ± 0.07) eV; electron affinity EA(PtH) = (1.65 ± 0.04) eV; and dissociation energies D0(Pt–H) = (329.6 ± 3.9) kJ mol−1, D0(Pt+–H) = (279.3 ± 5.7) kJ mol−1, and D0(Pt−–H) = (285.0 ± 2.4) kJ mol−1 (uncertainty coverage factor = 2). Compared with available experiments, our value of D0(Pt+–H) is higher by (8 ± 8) kJ mol−1, EA(PtH) is higher by 0.15 eV, and D0(Pt–H) is lower than the upper bound by (2 ± 4) kJ mol−1.
More evidence that a usage-based, applied cognitive linguistics approach is effective for teaching the Spanish prepositions por and para
Authors: Kissling Elizabeth M. 
Published: September 2022

Abstract
While applying cognitive linguistics (CL) to language teaching has been proven effective for teaching polysemous prepositions in English, it has demonstrated less success with the difficult-to-acquire Spanish prepositions por and para. This points to the need for more practical research investigating if and how CL might be effective for this particular target, especially given that conventional instruction has been found to be lacking. The current study compared three instructional conditions in intact intermediate Spanish classes. The first was a traditional approach to teaching por and para that presented learners with lists of disconnected uses in one lesson (n = 32). The second was an applied CL approach that presented Principled Polysemy Networks gradually over time (n = 34), an incremental approach that is usage-based and is a best practice for cognitively demanding instruction. The third was a traditional approach that presented lists of disconnected uses but incrementally over time (n = 26). The usage-based CL approach was found to confer the most advantage for learners on a multiple-choice test, but not a fill-in-the-blank test. The findings are discussed in relation to their pedagogical applications, future directions for applied CL research, and limitations of the study.
Syntactic priming and alignment in children with autism spectrum disorder
Authors: Hopkins Zoë 
Published: September 2022

Abstract
Syntactic priming is the unconscious repetition of grammatical constructions across utterances and between
(and within) speakers. This chapter considers syntactic priming effects in the language production of children with autism
spectrum disorder (ASD), a neurodevelopmental condition associated with communication deficits, and in some cases, with
co-occurring language disorder. Syntactic priming supports the acquisition of syntax in typical language development (e.g.
Chang, Dell & Bock, 2006), and – via syntactic alignment (the convergence
of syntactic behaviour and representation between speakers in dialogue) – promotes successful communication (Reitter & Moore, 2014), raising the possibility that impaired syntactic priming
mechanisms are implicated in autistic1 children’s language and communication
difficulties. Overall, the studies reviewed in this chapter demonstrate that autistic children’s difficulties with interactive
language do not stem from a general deficit in linguistic imitation: they converge syntactic structures with an interlocutor
and display alignment at the same level as their typically-developing peers. In fact, evidence suggests that autistic children
might occasionally engage in syntactic over-alignment, which could be communicatively maladaptive if priming
effects intersect with structural and pragmatic language impairments.
Influence of the dielectric thickness on the homogeneity of a diffuse dielectric barrier discharge in air
Authors: Belinger Antoine , Dap Simon , Naudé Nicolas 
Published: September 2022

Abstract
This work focuses on a diffuse Dielectric Barrier Discharge (DBD) in atmospheric pressure air using an original experimental approach. In air, the role of the capacitance on the discharge regime has not yet been studied even though it affects the discharge current. To address this gap in knowledge, the dielectric capacitance was modified by the means of the dielectric thickness in a plane-to-plane DBD configuration. The discharge regime was analyzed using short exposure time photographs and electrical measurements in order to remove any potential uncertainties regarding the diffuse nature of the DBD in atmospheric pressure air. The influence of the dielectric capacitance on the discharge regime was analyzed thanks to the working domain of the discharge. Additionally, using an original electrical model of the discharge, the effective surface and current density of the discharge was obtained only from electrical measurements. Thus, the crucial role of the maximum current density on the discharge regime was highlighted. The control of the current density by the means of the dielectric capacitance led to the obtention of a diffuse discharge at a frequency up to 5 kHz for the very first time. Considering this high frequency, the possibility of using a DBD in air at atmospheric pressure for coating applications is discussed.
Adjustment of high-energy ion flux in BP-HiPIMS via pulsed coil magnetic field: plasma dynamics and film deposition
Authors: Luo Yang , Han Mingyue , Su Yukun , Li Hua , Li Duoduo , Tang Ling , Deng Dachen , Gu Jiabin , Yan Xin , Xu Ye , Luo Sida , Li Liuhe 
Published: September 2022

Abstract
As an emerging and extraordinary plasma source, bipolar pulsed high power impulse magnetron sputtering (BP-HiPIMS) discharge has been widely concerned by academia and industry due to the ability to control the deposited ion energy. In the present work, with the intension of increasing the high-energy ion fraction and flux during deposition, the BP-HiPIMS is operated together with a solenoidal coil installed in front of the target. This intension is achieved by applying a pulsed coil current so that the ions generated during the high-power negative pulse can be manipulated to diffuse towards substrate and then arrive at the substrate surface during the positive pulse. Systematic investigations of discharge characteristics and plasma parameters for Ti target discharge in Ar gas have been made, illustrating that applying a pulsed coil current prior to the positive pulse onset for ∼50 μs is an optimal selection to obtain a larger fraction of high-energy ions. The complex plasma dynamics has also been explored using the particle-in-cell/Monte Carlo collision approach. To verify the statements realized by plasma measurements, the Ti films have been deposited on a floating Si substrate, whose microstructure and surface morphology are characterized by field emission scanning electron microscope and atomic force microscope. The deposition illustrates that applying a pulsed coil current prior to the positive pulse onset for ∼50 μs can prepare a thicker, denser, and smoother Ti film. The link between the plasma parameters and film microstructure is studied using the molecular dynamics simulations which show that the high-energy ions contribute to optimizing the adatom diffusion and mobility on growing film surface, which is more beneficial to get a smaller grain size and decrease the film surface roughness.
On the relevance of accurate input data for vibrational kinetics in air cold plasmas: the case of nitrogen fixation
Authors: Esposito Fabrizio 
Published: September 2022

Abstract
The need for green chemistry processes is currently pressing the research world to find solutions suited for a direct use of inherently intermittent renewable energy sources. However, these solutions must be also energy efficient, due to the world-size magnitude of the production that has to be substituted in the near future. One of the top problems in this sense is the nitrogen fixation, responsible for at least 40% of world food production by the synthesis of fertilisers. Using air plasmas for this process is an old idea dating back to the first years of 1900, then rapidly substituted by other processes more economically but much less ecologically sustainable. Reaching a balance between these two aspects of a realistic sustainability using non-equilibrium plasmas is the present challenge. Chemical kinetics modelling including vibrational kinetics of heavy species is key in this sense, because it allows to experiment possible solutions in a much easier way than in the laboratory, provided the model is sufficiently complete and based on accurate input data, in order to smoothly reproduce the available experimental findings. The present paper is focussed on the state-of-the-art of some heavy-particle processes crucial in air plasmas in general and for nitrogen fixation in particular, including new specific rate coefficient data, on their comparisons with well-known data largely used in models and on their possible improvements in the near future.
Interfacial modulation of TiN nanoribbons/graphene oxide for high performance photoactuators
Authors: Yang Bo , Luo Le , Zhu Shanshan , Jin Fengxian , Guo Sheng-Qi 
Published: September 2022

Abstract
Photoactuators have attracted tremendous scientific attention due to the potential application prospects in sensors, switches, artificial muscles and microelectromechanical devices. However, catering for practical applications, the weak interfacial contact of bilayer limits its further applications. Herein, we focus our investigations on modulating the interface of titanium nitride (TiN) nanoribbons and graphene oxide (GO) by controlling the topography to successful design a high performance photoactuator. In one respect, the surface of TiN nanoribbons was treated by controlling the heating process, forming a uniform dispersion with GO that is convenient for preparing film. Also, the interface between the photothermal conversion layer and passive deformation layer optimized forming close chemical bonds combining. The actuator exhibits fast and reversible actuation performance under the control of light, which only takes 0.8 s to reach the maximum bending. This strategy facilitates unexpected photoactuation with interface engineering, which is expected to further broaden the application prospects of the actuator in smart devices.
Variation in the propagation characteristics of extraordinary mode with density, magnetic field and temperature in a relativistic plasma environment
Authors: Ali M , Khan Waseem 
Published: September 2022

Abstract
Propagation characteristics of extraordinary mode (perpendicularly propagating electromagnetic wave which is partly transverse and partly longitudinal known as X-mode) are examined in a relativistic, weakly relativistic and non-relativistic plasma environment for various density to magnetic field ratio (

ω

pe

ω

ce

). The dispersion relation for X-mode is derived by using the relativistic kinetic model and employing Maxwell-Juttner distribution function. The integrals involved in the calculation are evaluated by using numerical quadrature approach. The mass dependent quantities like the cyclotron frequency and the plasma frequency will change by introducing sufficiently high temperature for which

η
=

mc

2

k

B

T

<
1

. This will effect significantly the propagation characteristics of X-mode. As the relativistic effects increase, the absorption at cyclotron frequency reduces and the dispersion characteristics of plasma vanishes. With the increase in the density or decrease in the magnetic field, the upper hybrid frequency and the right cutoff frequency shifted to a higher value, altering the propagation region.
Satelight: self-attention-based model for epileptic spike detection from multi-electrode EEG
Authors: Fukumori Kosuke , Yoshida Noboru , Sugano Hidenori , Nakajima Madoka , Tanaka Toshihisa 
Published: September 2022

Abstract

Objective. Because of the lack of highly skilled experts, automated technologies that support electroencephalogram (EEG)-based in epilepsy diagnosis are advancing. Deep convolutional neural network-based models have been used successfully for detecting epileptic spikes, one of the biomarkers, from EEG. However, a sizeable number of supervised EEG records are required for training. Approach. This study introduces the Satelight model, which uses the self-attention (SA) mechanism. The model was trained using a clinical EEG dataset labeled by five specialists, including 16 008 epileptic spikes and 15 478 artifacts from 50 children. The SA mechanism is expected to reduce the number of parameters and efficiently extract features from a small amount of EEG data. To validate the effectiveness, we compared various spike detection approaches with the clinical EEG data. Main results. The experimental results showed that the proposed method detected epileptic spikes more effectively than other models (accuracy = 0.876 and false positive rate = 0.133). Significance. The proposed model had only one-tenth the number of parameters as the other effective model, despite having such a high detection performance. Further exploration of the hidden parameters revealed that the model automatically attended to the EEG’s characteristic waveform locations of interest.
dICC: distance-based intraclass correlation coefficient for metagenomic reproducibility studies
Authors: Chen Jun , Zhang Xianyang 
Published: September 2022

Abstract

Summary
Due to the sparsity and high dimensionality, microbiome data are routinely summarized into pairwise distances capturing the compositional differences. Many biological insights can be gained by analyzing the distance matrix in relation to some covariates. A microbiome sampling method that characterizes the inter-sample relationship more reproducibly is expected to yield higher statistical power. Traditionally, the intraclass correlation coefficient (ICC) has been used to quantify the degree of reproducibility for a univariate measurement using technical replicates. In this work, we extend the traditional ICC to distance measures and propose a distance-based ICC (dICC). We derive the asymptotic distribution of the sample-based dICC to facilitate statistical inference. We illustrate dICC using a real dataset from a metagenomic reproducibility study.

Availability and implementation
dICC is implemented in the R CRAN package GUniFrac.

Supplementary information
Supplementary data are available at Bioinformatics online.
Induced-ovulation in female dromedary camel involves kisspeptin neuron activation by β nerve growth factor
Authors: Ainani Hassan , Chhaibi Hamid , Achaâban Mohammed Rachid , Piro Mohammed , Ouassat Mohammed , Tibary Ahmed , El Allali Khalid , Simonneaux Valérie 
Published: September 2022

AbstractThe dromedary camel (Camelus dromedarius) is a short-day desert breeder in which female ovulation is induced by mating. Current data indicate that male-induced ovulation is triggered by its seminal plasma nerve growth factor beta (β-NGF), but the exact mechanisms involved in the induction of ovulation are still unknown. In this study, we report that an intramuscular injection of β-NGF in sexually active short-day-adapted female camels induces an ovulation attested by a surge of circulating LH (2–6 h after treatment) followed by an oocyte release with its cumulus oophorus (confirmed by ultrasonography 72 h after treatment) and a large and progressive increase in circulating progesterone (significant from the 2nd to the 10th days after β-NGF injection). In addition, this β-NGF treatment induces a broad nuclear c-FOS activation in cells located in various hypothalamic areas, notably the preoptic area, the arcuate nucleus, the dorso- and ventromedial hypothalamus, the paraventricular nucleus, and the supraoptic nucleus. A double immunostaining with neuropeptides known to be involved in the central control of reproduction indicates that ~28% kisspeptin neurons and 43% GnRH neurons in the proptic area, and ~10% RFRP-3 neurons in the dorso- and ventromedial hypothalamus are activated following β-NGF injection. In conclusion, our study demonstrates that systemic β-NGF induces ovulation in the female dromedary camel and indicates that this effect involves the central activation of hypothalamic neurons, notably the kisspeptin neurons.
Phospho-tau with subthreshold tau-PET predicts increased tau accumulation rates in amyloid-positive individuals
Authors: Groot Colin , Smith Ruben , Stomrud Erik , Binette Alexa Pichet , Leuzy Antoine , Wuestefeld Anika , Wisse Laura E M , Palmqvist Sebastian , Mattsson-Carlgren Niklas , Janelidze Shorena , Strandberg Olof , Ossenkoppele Rik , Hansson Oskar 
Published: September 2022

Abstract
Different tau biomarkers become abnormal at different stages of Alzheimer’s disease, with CSF phospho-tau typically becoming elevated at subthreshold levels of tau-PET binding. To capitalize on the temporal order of tau biomarker-abnormality and capture the earliest changes of tau accumulation, we implemented an observational study design to examine longitudinal changes in tau-PET, cortical thickness and cognitive decline in amyloid-β-positive individuals with elevated CSF p-tau levels (P+) but subthreshold Tau-PET retention (T−). To this end, individuals without dementia (i.e. cognitively unimpaired or mild cognitive impairment, n = 231) were selected from the BioFINDER-2 study. Amyloid-β-positive (A+) individuals were categorized into biomarker groups based on cut-offs for abnormal CSF p-tau217 and 18F-RO948 (Tau) PET, yielding groups of tau-concordant-negative (A+P−T−; n = 30), tau-discordant (i.e. A+P+T−; n = 48) and tau-concordant-positive (A+P+T+; n = 18) individuals. In addition, 135 amyloid-β-negative, tau-negative, cognitively unimpaired individuals served as controls. Differences in annual change in regional tau-PET, cortical thickness and cognition between the groups were assessed using general linear models, adjusted for age, sex, clinical diagnosis and (for cognitive measures only) education. Mean follow-up time was ∼2 years. Longitudinal increase in tau-PET was faster in the A+P+T− group than in the control and A+P−T− groups across medial temporal and neocortical regions, with the highest accumulation rates in the medial temporal lobe. The A+P+T− group showed a slower rate of increase in tau-PET compared to the A+P+T+ group, primarily in neocortical regions. We did not detect differences in yearly change in cortical thickness or in cognitive decline between the A+P+T− and A+P−T− groups. The A+P+T+ group, however, showed faster cognitive decline compared to all other groups. Altogether, these findings suggest that the A+P+T− biomarker profile in persons without dementia is associated with an isolated effect on increased tau-PET accumulation rates but not on cortical thinning and cognitive decline. While this suggests that the tau-discordant biomarker profile is not strongly associated with short-term clinical decline, this group does represent an interesting population for monitoring the effects of interventions with disease-modifying agents on tau accumulation in early Alzheimer’s disease, and for examining the emergence of tau aggregates in Alzheimer’s disease. Further, we suggest updating the AT(N) criteria for Alzheimer’s disease biomarker classification to APT(N).
Isolation and characterisation of Pulsatilla Radix-utilising bacteria Pediococcus pentosaceus PR-1 from human faeces
Authors: Liu Yue , Sun Xiaoxia , Zhang Jincan , Gao Feng , Yu Leilei , Dong Lina , Zhang Gangli , Wu Changxin 
Published: September 2022

Abstract
Although probiotics have been isolated from different sources, few were isolated from traditional Chinese medicine. The current study firstly isolates Pulsatilla Radix-utilising Pediococcus pentosaceus PR-1 from human faeces. Subsequently, the tolerance of PR-1 to low pH, bile salts, simulated gastric juice and succus entericus, antioxidant activity, antimicrobial activity, cholesterol assimilation and antibiotics susceptibility were investigated. After 2 h of incubation at pH 2.0, over 80% of PR-1 survived. The cell viability of PR-1 at 2 h under 0.1% bile salt condition was 99.2%. The survival rate of PR-1 in gastric juice and succus entericus was 64.48% and 81.86%, respectively. Cell-free supernatant of PR-1 culture also showed antimicrobial activity against Escherichia coli, Staphylococcus aureus and Salmonella typhimurium. Besides, antioxidant activity of PR-1 CFS was significantly greater than cell pellet. PR-1 was shown to be resistant to kanamycin, streptomycin, vancomycin and norfloxacin and was able to lower the cholesterol level to 72.5±1.5%. In addition, PR-1 displayed γ-haemolysis and was non-pathogenic.
Beyond Chronological Age: A Multidimensional Approach to Survival Prediction in Older Adults
Authors: Salignon Jérôme , Rizzuto Debora , Calderón-Larrañaga Amaia , Zucchelli Alberto , Fratiglioni Laura , Riedel Christian G , Vetrano Davide L 
Published: September 2022

AbstractBackgroundThere is a growing interest in generating precise predictions of survival to improve the assessment of health and life-improving interventions. We aimed to (a) test if observable characteristics may provide a survival prediction independent of chronological age; (b) identify the most relevant predictors of survival; and (c) build a metric of multidimensional age.MethodsData from 3 095 individuals aged ≥60 from the Swedish National Study on Aging and Care in Kungsholmen. Eighty-three variables covering 5 domains (diseases, risk factors, sociodemographics, functional status, and blood tests) were tested in penalized Cox regressions to predict 18-year mortality.ResultsThe best prediction of mortality at different follow-ups (area under the receiver operating characteristic curves [AUROCs] 0.878–0.909) was obtained when 15 variables from all 5 domains were tested simultaneously in a penalized Cox regression. Significant prediction improvements were observed when chronological age was included as a covariate for 15- but not for 5- and 10-year survival. When comparing individual domains, we find that a combination of functional characteristics (ie, gait speed, cognition) gave the most accurate prediction, with estimates similar to chronological age for 5- (AUROC 0.836) and 10-year (AUROC 0.830) survival. Finally, we built a multidimensional measure of age by regressing the predicted mortality risk on chronological age, which displayed a stronger correlation with time to death (R = −0.760) than chronological age (R = −0.660) and predicted mortality better than widely used geriatric indices.ConclusionsCombining easily accessible characteristics can help in building highly accurate survival models and multidimensional age metrics with potentially broad geriatric and biomedical applications.