bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of the benchmark corpus on keyword analysis
Authors: Pojanapunya Punjaporn , Watson Todd Richard 
Published: June 2021

Abstract
The growing popularity of keyword analysis as an applied linguistics methodology has not been matched by an increase in
the rigour with which the method is applied. While several studies have investigated the impact of choices made at certain stages of the
keyword analysis process, the impact of the choice of benchmark corpus has largely been overlooked. In this paper, we compare a target
corpus with several benchmark corpora and show that the keywords generated are different. We also show that certain characteristics of the
keyword list and of the keywords themselves vary in relatively predictable ways depending on the benchmark corpus. These variations have
implications for the choice of benchmark corpus and how the results of a keyword analysis should be interpreted. Analyzing the keywords from
a comparison with a large general corpus or the keyword lists from multiple comparisons may be most appropriate for register studies.
Register variation in L1 and L2 student writing
Authors: Goulart Larissa 
Published: June 2021

Abstract
While there have been many studies describing L2 academic writing, most of these studies have used corpora of
first year or assessment writing (Crosthwaite 2016; Weigle & Friginal 2014). The
present study seeks to describe linguistic variation in L2 writing for content classes and to compare these linguistic patterns to
those found in L1 writing. A multi-dimensional (MD) analysis was conducted in two corpora, BAWE and BrAWE, extracting five
dimensions. The L2 corpus contained 379 texts written by Brazilian students doing part of their undergrad in the UK and the L1
corpus contained 395 texts from BAWE. The results of this study indicate that L1 and L2 writers use similar linguistic resources
to convey the purpose of university registers, with the exception of case studies, designs, exercises and research reports. This
linguistic variation between L1 and L2 writers might be explained by students’ interpretation of these registers’ communicative
purposes.
High-temperature properties of composite modified light-colored synthetic asphalt binders
Authors: Zhang Heng Cong , Wu Jianmin , Luo Yin , Qin Zhong 
Published: June 2021

Abstract
To analyze the impact of polymer modifiers on the high-temperature viscosity and rheological properties of light-colored synthetic asphalt binders. Aromatic oils, petroleum resins, and polymer modifiers were selected to prepare a light-colored synthetic modified asphalt binder by physical mixing. In this study, SBS plus EVA was used to modify the light-colored synthetic asphalt binders, and seven sets of samples were prepared. The modified light-colored synthetic asphalt binder’s basic engineering properties were measured through the three major index tests; the rotational viscosity test and DSR test measure its high-temperature viscosity and rheological properties, and the content of different polymer modifiers was analyzed on the viscosity and influence of rheological properties. The results show that the compound modification method can increase the viscosity of light-colored synthetic asphalt binders, and SBS is better than EVA in improving the viscosity and rheological properties. EVA’s low content has little effect on the high-temperature viscosity and rheological properties of light-colored synthetic asphalt binders. Too much SBS will increase the impact of EVA to improve high-temperature viscosity. Modification of compounds may also improve the high-temperature rutting resistance of light-colored synthetic asphalt binders. SBS will degrade in the RTFOT aging process of light-colored synthetic asphalt binders, and its improving effect will be impaired. The content of SBS should not exceed 6%.
CuAlO2/Bi2WO6: a novel p–n type composite with significantly enhanced visible-light photocatalytic reduction of Cr(VI)
Authors: Hu Wenna , Liu Wei 
Published: June 2021

Abstract
The Bi2WO6 and CuAlO2 powders were synthesized through the method of solid-state reaction. This study prepared the newly and highly effective p–n type CuAlO2/Bi2WO6 photocatalysts that had diverse CuAlO2 compositions by employing an environmentally friendly and economical approach. X-ray powder diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy(SEM), photoluminescence (PL) emission spectra, and UV–vis diffuse reflectance spectroscopy were adopted to characterize the photocatalysts. The as-synthesized CuAlO2/Bi2WO6 heterocatalyst was utilized to reduce toxic Cr (VI) ions into Cr (III) by means of photoreduction under visible light irradiation. When CuAlO2(1.0 wt.%)/Bi2WO6 was used, the Cr (VI) photoreduction rate constant was 4.7 times as many as that of pure Bi2WO6. The study also investigated how the ball milling time and CuAlO2 composition affected the performance of CuAlO2/Bi2WO6. In addition, the stability of composite was investigated. The results revealed that the high conductivity of CuAlO2, excellent crystalline quality, and the p–n heterojunction between CuAlO2 and Bi2WO6 exerted a vital role in enhancing the photoreduction performance. This work explores the design of other new heterocatalysts, especially the p–n type composites containing CuAlO2.
Design, fabrication and characterization of a micro-fabricated stacked-wafer segmented ion trap with two X-junctions
Authors: Decaroli Chiara , Matt Roland , Oswald Robin , Axline Christopher , Ernzer Maryse , Flannery Jeremy , Ragg Simon , Home Jonathan P 
Published: June 2021

Abstract
We describe the implementation of a three-dimensional Paul ion trap fabricated from a stack of precision-machined silica glass wafers, which incorporates a pair of junctions for two-dimensional ion transport. The trap has 142 dedicated electrodes which can be used to define multiple potential wells in which strings of ions can be held. By supplying time-varying potentials, this also allows for transport and re-configuration of ion strings. We describe the design, simulation, fabrication and packaging of the trap, including explorations of different parameter regimes and possible optimizations and design choices. We give results of initial testing of the trap, including measurements of heating rates and junction transport.
The association between agricultural conditions and multiple dimensions of undernutrition in children 6-23 months of age in Burkina Faso
Authors: Pinchoff Jessie , Turner William , Grace Kathryn 
Published: June 2021

AbstractBackground. The quality and quantity of food available to children affect their nutritional status, with implications for long-term health and development. In Burkina Faso, households rely on rainfed agriculture, but climate change is making crop production unreliable. We explore spatial patterns of growing season quality on dimensions of nutritional status and complementary feeding practices in children 6–23 months.Methods. The 2017 Performance Monitoring and Accountability 2020 (PMA2020) nutritional survey was spatially integrated with a contemporaneous remotely sensed drought indicator, the Water Requirement Satisfaction Index (WRSI), which captures local anomalous growing season conditions. Multi-level mixed-effects logistic regression models were estimated to explore the effects of WRSI on child mid-upper arm circumference (MUAC) score (indicating malnutrition), and two components of complementary feeding practices, adjusting for demographic and household characteristics.Results. The data set included 1,721 children. Higher WRSI values (better agricultural conditions and crop performance) were associated with 3% lower odds of malnutrition (Odds Ratio (OR) = 0.971; 95% confidence interval (CI): [0.942, 1.00]) and 7% higher odds of a child attaining minimum dietary diversity (OR = 1.07; 95% CI: [1.01, 1.14]). Undernourished mothers were significantly (p < 0.001) more likely to have an undernourished child. Minimum dietary diversity met for the child was protective against malnutrition; the association between WRSI and malnutrition persisted after adjustment.Conclusions. WRSI was associated with the child’s dietary diversity and malnutrition, highlighting the importance of seasonally and spatially varying local agricultural production and the relationship between growing season conditions and child nutritional status, with dietary diversity providing a potential mechanism for intervention.
Probe-based intravital microscopy: filling the gap between in vivo imaging and tissue sample microscopy in basic research and clinical applications
Authors: Van Dyck Katrien , Vanhoffelen Eliane , Yserbyt Jonas , Van Dijck Patrick , Erreni Marco , Hernot Sophie , Vande Velde Greetje 
Published: June 2021

Abstract
Non- and minimally invasive imaging technologies have become indispensable in preclinical studies using animal models to understand biological processes and assess novel therapeutic strategies within the complex context of living organisms. Various imaging modalities can provide anatomical, functional or molecular information on the organ- or whole-body level, however, there exists a need to obtain dynamic information on the microscopic level in living animals to bridge the gap with microscopical analysis of processed tissues. To fulfill this need, intravital microscopy (IVM), which allows imaging at cellular and subcellular resolution in living animals, was developed. The emergence of different imaging modalities, advances in fluorescent labeling methods and the transition from optical windows to fiber-optical probes to obtain direct access to sites deep inside the animal, have supported its widespread use. This review provides an overview of these technological advancements and specifically of the application of fibered confocal fluorescence microscopy in preclinical research. In addition, the implementation of probe-based confocal laser scanning endomicroscopy in clinical research on gastrointestinal and lung diseases and possible applications in drug development are described. Finally, drawbacks and possible advances that can broaden the potential of this technique and what can be learnt from IVM in a context of multimodal imaging are highlighted.
Two-dimensional ultrafast transient absorption spectrograph covering deep-ultraviolet to visible spectral region optimized for biomolecules
Authors: Nazari Haghighi Pashaki Maryam , Mosimann-Schönbächler Nina , Riede Aaron , Gazzetto Michela , Rondi Ariana , Cannizzo Andrea 
Published: June 2021

Abstract
We report on the implementation of a multi-kHz single-shot referenced non-coherent two-dimensional UV spectrograph based on conventional pump-probe geometry. It has the capability to cover a broad spectral region in excitation from 270-to-380 nm and in the detection from 270-to-390 nm and 320-to-720 nm. Other setups features are: an unprecedented time resolution of 33 fs (standard deviation); signals are photometrically corrected; a single-shot noise of <1 mOD. It has the capability to operate with sample volumes as small as few μl which is an accomplishment in studying biological or biomimetic systems. To show its performances and potentials, we report two preliminary studies on the photophysics of phenanthrenes hosted in a multichromophoric antenna system and of aromatic amino acids in a blue-copper azurin.
Transient chaos enforces uncertainty in the British power grid
Authors: Halekotte Lukas , Vanselow Anna , Feudel Ulrike 
Published: June 2021

Abstract
Multistability is a common phenomenon which naturally occurs in complex networks. If coexisting attractors are numerous and their basins of attraction are complexly interwoven, the long-term response to a perturbation can be highly uncertain. We examine the uncertainty in the outcome of perturbations to the synchronous state in a Kuramoto-like representation of the British power grid. Based on local basin landscapes which correspond to single-node perturbations, we demonstrate that the uncertainty shows strong spatial variability. While perturbations at many nodes only allow for a few outcomes, other local landscapes show extreme complexity with more than a hundred basins. Particularly complex domains in the latter can be related to unstable invariant chaotic sets of saddle type. Most importantly, we show that the characteristic dynamics on these chaotic saddles can be associated with certain topological structures of the network. We find that one particular tree-like substructure allows for the chaotic response to perturbations at nodes in the north of Great Britain. The interplay with other peripheral motifs increases the uncertainty in the system response even further.
Point cloud transformers applied to collider physics
Authors: Mikuni Vinicius , Canelli Florencia 
Published: June 2021

Abstract
Methods for processing point cloud information have seen a great success in collider physics applications. One recent breakthrough in machine learning is the usage of transformer networks to learn semantic relationships between sequences in language processing. In this work, we apply a modified transformer network called point cloud transformer as a method to incorporate the advantages of the transformer architecture to an unordered set of particles resulting from collision events. To compare the performance with other strategies, we study jet-tagging applications for highly-boosted particles.
The Effectiveness of Non-Invasive Brain Stimulation Alone or Combined with Cognitive Training on the Cognitive Performance of Patients With Traumatic Brain Injury: Α Systematic Review
Authors: Nousia Anastasia , Martzoukou Maria , Liampas Ioannis , Siokas Vasileios , Bakirtzis Christos , Nasios Grigorios , Dardiotis Efthimios 
Published: June 2021

Abstract

Objective
The present study reviewed published evidence on the effectiveness of non-invasive brain stimulation (NIBS) on the cognitive performance of patients with Traumatic brain injury (TBI).

Method
A systematic search of the PubMed and Google Scholar databases was carried out. Randomized Controlled Studies published before March 2020 were included. Methodological evaluation was performed based on the Risk of Bias Cochrane tool. A total of 10 placebo-controlled studies fulfilled the inclusion criteria and were involved in the qualitative analysis, two assessing NIBS combined with cognitive training (CT) and eight evaluating NIBS alone.

Results
All but one retrieved article were appraised as of high-risk of bias (one paper was assessed as of unclear-risk owing to considerable underreporting). With the potential exception of attention, our findings were not indicative of a superior efficacy of NIBS-CT to CT alone, regarding the improvement of any of the rest assessed cognitive deficits. Executive function, processing speed, attention, working, and visuospatial memory were only occasionally found to benefit from NIBS alone compared to sham therapy (only one study reported relevant benefits per neuropsychological outcome). Verbal memory and verbal fluency (phonemic-semantic) were consistently found not to benefit from NIBS. Depression measures were the only outcomes associated with a beneficial effect of NIBS in more than one article.

Conclusion
Our findings did not provide sufficient high-quality evidence to support the exclusive use of NIBS or combined NIBS-CT to improve any impaired cognitive function in TBI patients. Owing to the suboptimum methodological quality of published studies, additional research is of potential value.
Mapping Theory–Practice Integration: A Model from Aotearoa New Zealand
Authors: Maidment Jane 
Published: June 2021

Abstract
The successful integration of theory and practice is at the heart of developing professionally accountable social work practice. Despite integration being central to the development of professional practice, multiple pedagogical challenges in achieving this learning have been cited in the literature. These barriers are identified along with providing the rationale for actively seeking ways to bridge the perceived gap between theory and practice. Drawing upon a constructivist framework for learning the ‘Critical intersections model: Mapping knowledge for practice’ is presented and explained. The model is curriculum based, centred on bringing together theory from key knowledge bases with dimensions integral to critically reflecting on social work practice. Mapping knowledge is a process intended to help students and their field educators facilitate integration. This model is embedded in an understanding of practice that is underpinned by critical theory, taking account of factors related to culture and diversity, the ‘expert by experience’ perspective and considering implications for the profession of social work. This article concludes with a case example of the application of the critical intersections model.
Hybridization and species boundaries between three sympatric bromeliads from the Brazilian Atlantic Forest
Authors: Costa Laís Mara Santana , Goetze Márcia , Callegari-Jacques Sidia M , Hirsch Luiza Domingues , Bered Fernanda 
Published: June 2021

AbstractRecently diversified taxa commonly do not show complete reproductive isolation, and thus they represent an interesting model for studying the occurrence of hybridization and its influence on the integrity of species. In this study, we aim to elucidate the occurrence of hybridization and discuss species boundaries between three Aechmea spp. (Bromeliaceae) from southern Brazil. To achieve these aims, we used ten nuclear and six plastid microsatellite loci. We also investigated morphological and ecological differentiation and reproductive compatibility through interspecific cross-pollination experiments with these species. Molecular analyses confirmed the occurrence of hybridization between the three species, but interspecific gene flow was higher between A. comata and A. kertesziae than between A. comata and A. caudata. These Aechmea spp. showed morphological differentiation, and the results of the artificial interspecific crosses indicated that they can intercross. Aechmea caudata and A. kertesziae show distinct microhabitat preferences, whereas A. comata thrives in a microhabitat that is also inhabited by the other species. Despite the potential reproductive barriers being weak, especially those between A. comata and A. kertesziae, they may maintain the boundaries between these species and their integrity in sympatric populations.
Hippocampal vascularization patterns exert local and distant effects on brain structure but not vascular pathology in old age
Authors: Vockert Niklas , Perosa Valentina , Ziegler Gabriel , Schreiber Frank , Priester Anastasia , Spallazzi Marco , Garcia-Garcia Berta , Aruci Merita , Mattern Hendrik , Haghikia Aiden , Düzel Emrah , Schreiber Stefanie , Maass Anne 
Published: June 2021

Abstract
The hippocampus within the medial temporal lobe is highly vulnerable to age-related pathology such as vascular disease. We examined hippocampal vascularization patterns by harnessing the ultra-high resolution of 7 Tesla magnetic resonance angiography. Dual-supply hemispheres with a contribution of the anterior choroidal artery to hippocampal blood supply were distinguished from single-supply ones with a sole dependence on the posterior cerebral artery. A recent study indicated that a dual vascular supply is related to preserved cognition and structural hippocampal integrity in old age and vascular disease. Here, we examined the regional specificity of these structural benefits at the level of medial temporal lobe sub-regions and hemispheres. In a cross-sectional study with an older cohort of 17 patients with cerebral small vessel disease (70.7 ± 9.0 years, 35.5% female) and 27 controls (71.1 ± 8.2 years, 44.4% female), we demonstrate that differences in grey matter volumes related to the hippocampal vascularization pattern were specifically observed in the anterior hippocampus and entorhinal cortex. These regions were especially bigger in dual-supply hemispheres, but also seemed to benefit from a contralateral dual supply. We further show that total grey matter volumes were greater in people with at least one dual-supply hemisphere, indicating that the hippocampal vascularization pattern has more far-reaching structural implications beyond the medial temporal lobe. A mediation analysis identified total grey matter as a mediator of differences in global cognition. However, our analyses on multiple neuroimaging markers for cerebral small vessel disease did not reveal any evidence that an augmented hippocampal vascularization conveys resistance nor resilience against vascular pathology. We propose that an augmented hippocampal vascularization might contribute to maintaining structural integrity in the brain and preserving cognition despite age-related degeneration. As such, the binary hippocampal vascularization pattern could have major implications for brain structure and function in ageing and dementia independent of vascular pathology, while presenting a simple framework with potential applicability to the clinical setting.
Optimized Scale-Invariant Feature Transform with Local Tri-directional Patterns for Facial Expression Recognition with Deep Learning Model
Authors: Lokku Gurukumar , Reddy G Harinatha , Prasad M N Giri 
Published: June 2021

Abstract
Facial expression recognition (FER) is the process of identifying human expressions. People vary in their accuracy at recognizing the emotions of others. Use of technology to help people with emotion recognition is a relatively important research area. Various works have been conducted on automating the recognition of facial expressions. The main intent of this paper is to plan for the FER model with the aid of intelligent techniques. The proposed models consist of steps like data collection, face detection, optimized feature extraction and emotion recognition. Initially, the standard benchmark facial emotion dataset is collected, and it is subjected to face detection. The optimized scale-invariant feature transform (OSIFT) is adopted for feature extraction, in which the key points that are giving unique information are optimized by the hybrid meta-heuristic algorithm. Two meta-heuristic algorithms like spotted hyena optimization and beetle swarm optimization (BSO) are merged to form the proposed spotted hyena-based BSO (SH-BSO). Also, the local tri-directional pattern is extracted, which is further combined with optimized SIFT. Here, the proposed SH-BSO is utilized for optimizing the number of hidden neurons of both deep neural network and convolutional neural network in such a way that the recognition accuracy could attain maximum.