bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent product redesign strategy with ontology-based fine-grained sentiment analysis
Authors: Zhu Siyu , Qi Jin , Hu Jie , Huang Haiqing 
Published: July 2021

AbstractWith the increasing demand for a personalized product and rapid market response, many companies expect to explore online user-generated content (UGC) for intelligent customer hearing and product redesign strategy. UGC has the advantages of being more unbiased than traditional interviews, yielding in-time response, and widely accessible with a sheer volume. From online resources, customers’ preferences toward various aspects of the product can be exploited by promising sentiment analysis methods. However, due to the complexity of language, state-of-the-art sentiment analysis methods are still not accurate for practice use in product redesign. To tackle this problem, we propose an integrated customer hearing and product redesign system, which combines the robust use of sentiment analysis for customer hearing and coordinated redesign mechanisms. Ontology and expert knowledges are involved to promote the accuracy. Specifically, a fuzzy product ontology that contains domain knowledges is first learned in a semi-supervised way. Then, UGC is exploited with a novel ontology-based fine-grained sentiment analysis approach. Extracted customer preference statistics are transformed into multilevels, for the automatic establishment of opportunity landscapes and house of quality table. Besides, customer preference statistics are interactively visualized, through which representative customer feedbacks are concurrently generated. Through a case study of smartphone, the effectiveness of the proposed system is validated, and applicable redesign strategies for a case product are provided. With this system, information including customer preferences, user experiences, using habits and conditions can be exploited together for reliable product redesign strategy elicitation.
Enclosures and de-sacralization in Tudor Coventry, and the foundations of modern urban space
Authors: Leech Donald 
Published: July 2021

AbstractThe Reformation exacted considerable changes on towns across Britain, occurring at the same time as the shift away from broadcloths to other economies. Part of the process of change was the de-sacralization of former monastic spaces. The parallel process of increased commons enclosures alongside acquisitions of church lands produced a secularized and privatized landscape which transitioned the medieval city to the modern. The active enclosures by Coventry corporation in the 1530s and 1540s, and local documents rationalizing such actions under the concept of benefiting the common weal, provide a clear example of the process.
Safer Hospital Infrastructure Assessments for Socio-Natural Disaster – A Scoping Review
Authors: Luke Jenny , Franklin Richard , Aitken Peter , Dyson Joanne 
Published: July 2021

AbstractBackground:The aim of this review was to explore hospital socio-natural disaster resilience by identifying: studies assessing structural and non-structural aspects of building resilience; components required to maintain a safe and functional health facility; and if the checklists used were comprehensive and easily performed.Methods:A review systemic approach using PRISMA was taken to search the literature. The search focused on articles that discuss hospital disaster resilience. This includes assessments and checklists for facility structural and non-structural components.Results:This review identified 22 articles describing hospital assessments using checklists containing structural and non-structural elements of resilience. These studies identified assessments undertaken in ten countries, with eight occurring across Iran. A total of seven differing checklists were identified as containing aspects of structural or non-structural aspects of building resilience. The World Health Organization (WHO) has authored three checklists and four others were developed independently.The structural resilience domain includes building integrity, building materials, design standards, and previous event damages as important elements to determine resilience. Within the internal safety and resilience domains, 11 differing elements were identified as important to non-structural or internal infrastructure resilience. These included the safety of power, water, telecommunication, medical gas supply, and medical equipment resupply systems.Independent evaluation methods were reported in the majority of articles, with a small number highlighting the benefits of both self-evaluation and independent review processes. Implementation of training programs to evaluators was mentioned in three papers with the assessor’s knowledge and understanding of all checklist elements being highlighted as important to the validity of the evaluation.Conclusion:The review identified the assessment of hospital resilience as important for management to determine areas of vulnerability within the hospital’s infrastructure and to inform improvement strategies. Assessment criteria must be comprehensive, highlighting structural and non-structural aspects of facility infrastructure. These assessments are best done as a multi-disciplinary collective of experts, involving hospital employees in the journey. This collaborative approach provides a key educational tool for developing disaster capacity, engaging ownership of the process, and the resulting improvements.The on-going development of health facility and wider health system resilience must remain a key strategic focus of national governments and health authorities. The development of standardized procedures and guidelines must be embedded into daily practice.
Pilot evaluation of a group stabilisation intervention for refugees and asylum seekers with PTSD
Authors: Griggs Mary , Liu Cheng , Cooper Kate 
Published: July 2021

AbstractBackground:Post-traumatic stress disorder (PTSD) is commonly experienced by asylum seekers and refugees (ASR). Evidence supports the use of cognitive behavioural therapy-based treatments, but not in group format for this population. However, group-based treatments are frequently used as a first-line intervention in the UK.Aims:This study investigated the feasibility of delivering a group-based, manualised stabilisation course specifically developed for ASR. The second aim was to evaluate the use of routine outcome measures (ROMs) to capture psychological change in this population.Method:Eighty-two participants from 22 countries attended the 8-session Moving On After Trauma (MOAT) group-based stabilisation treatment. PHQ-9, GAD-7, IES-R and idiosyncratic outcomes were administered pre- and post-intervention.Results:Seventy-one per cent of participants (n = 58) attended five or more of the treatment sessions. While completion rates of the ROMs were poor – measures were completed at pre- and post-intervention for 46% participants (n = 38) – a repeated-measures MANOVA indicated significant improvements in depression (p = .001, ηp2 = .262), anxiety (p = .000, ηp2 = .390), PTSD (p = .001, ηp2 = .393) and idiosyncratic measures (p = .000, ηp2 = .593) following the intervention.Conclusions:Preliminary evidence indicates that ASR who attended a low-intensity, group-based stabilisation group for PTSD experienced lower mental health scores post-group, although the lack of a comparison group means these results should be interpreted with caution. There are significant challenges in administering ROMs to individuals who speak many different languages, in a group setting. Nonetheless, groups have benefits including efficiency of treatment delivery which should also be considered.
First Simultaneous Observation of a Night Time Medium‐Scale Traveling Ionospheric Disturbance From the Ground and a Magnetospheric Satellite
Authors: Kawai K. , Shiokawa K. , Otsuka Y. , Oyama S. , Kasaba Y. , Kasahara Y. , Tsuchiya F. , Kumamoto A. , Nakamura S. , Matsuoka A. , Imajo S. , Kazama Y. , Wang S.‐Y. , Tam S. W. Y. , Chang T. F. , Wang B. J. , Asamura K. , Kasahara S. , Yokota S. , Keika K. , Hori T. , Miyoshi Y. , Jun C. , Shoji M. , Shinohara I. 
Published: July 2021

AbstractMedium‐scale traveling ionospheric disturbances (MSTIDs) are a phenomenon widely and frequently observed over the ionosphere from high to low latitudes. Night time MSTIDs are caused generally by the polarization electric field in the ionosphere. However, propagation of this polarization electric field to the magnetosphere has not yet been identified. Here, we report the first observation of the polarization electric field and associated density variations of a night time MSTID in the magnetosphere. The MSTID event was observed by an all‐sky airglow imager at Gakona (geographical latitude: 62.39°N, geographical longitude: 214.78°E, magnetic latitude: 63.20°N), Alaska. The Arase satellite passed over the MSTID in the inner magnetosphere at 0530–0800 UT (2030–2300 LT) on November 3, 2018. This MSTID, observed in 630 nm airglow images, was propagating westward with a horizontal wavelength of ∼165 km, a north–south phase front, and a phase velocity of ∼80 m/s. The Arase satellite footprint on the ionosphere crossed the MSTID in the direction nearly perpendicular to the MSTID phase fronts. The electric field and electron density observed by the Arase satellite showed periodic variation associated with the MSTID structure with amplitudes of ∼2 mV/m and ∼150 cm−3, respectively. The electric field variations projected to the ionosphere are mainly in the east‐west direction and are consistent with the direction of the polarization electric field expected from MSTID growth by E × B drift. This observation indicates that the polarization electric field associated with the MSTID in the ionosphere is projected onto the magnetosphere, causing plasma density fluctuations in the magnetosphere.
Multi‐Mode Waveform Tomography of the Indian Ocean Upper and Mid‐Mantle Around the Réunion Hotspot
Authors: Wamba M. D. , Montagner J.‐P. , Romanowicz B. , Barruol G. 
Published: July 2021

AbstractRéunion Island in the western Indian Ocean is well known as one of the most active volcanic hotspots on Earth. Its birth, Ma ago, created the Deccan volcanic traps in India (almost 2 million ), associated with the Cretaceous‐Tertiary boundary and with the extinction of about 90% of life on the Earth, including dinosaurs. However, the deep structure of the underlying mantle, the potential presence of a rising plume and its exact geometry in the lower and in the upper mantle are still subjects of debates. The use of seismic data acquired by the French‐German RHUM‐RUM experiment in the Indian Ocean around the Réunion volcanic hotspot (2012–2013) and the collection of broadband seismic data from temporary experiments and from the FDSN (Federation of Digital Seismograph Networks) data center make it possible to investigate the deep structure of the Réunion mantle plume along its complete track, from its birth to its present stage, with a lateral resolution of km. So far, global seismic tomography models cannot provide such high resolution images of the transition zone or lower mantle in this region. In this study, we used the spectral element method (SEM) to perform waveform forward modeling for several thousand paths beneath the Indian Ocean, and normal mode perturbation theory to compute the gradient and the Hessian for the inverse part of the tomography. Using this hybrid method, we derived a regional tomographic model (including teleseismic and regional events) beneath the Indian Ocean, down to km depth, from simultaneous inversion of fundamental and higher mode three components waveforms down to 40 s period. Our model retrieves a low‐velocity channel extending from West to East in the western side of the Central Indian Ridge, in the depth range of 150–250 km. It also reveals a plume conduit with a broad head in the upper mantle and narrow tail anchored in the lower mantle at 1,200 km depth or deeper. The connection between the Réunion hotspot and the South‐Africa Large Low‐Shear Velocity Province (LLSVP) is also brought to light. Our findings suggest a long‐lived Réunion hotspot, since the lower part of the conduit appears to be anchored in the lower mantle, likely fed by the African LLSVP. Our results will guide further geochemical and geodynamic studies on the interaction between the lower transition zone (660–1,000 km) and the deep lower mantle beneath the Réunion hotspot.
Spatiotemporal Associations Between Social Vulnerability, Environmental Measurements, and COVID‐19 in the Conterminous United States
Authors: Johnson Daniel P. , Ravi Niranjan , Braneon Christian V. 
Published: July 2021

AbstractThis study summarizes the results from fitting a Bayesian hierarchical spatiotemporal model to coronavirus disease 2019 (COVID‐19) cases and deaths at the county level in the United States for the year 2020. Two models were created, one for cases and one for deaths, utilizing a scaled Besag, York, Mollié model with Type I spatial‐temporal interaction. Each model accounts for 16 social vulnerability and 7 environmental variables as fixed effects. The spatial pattern between COVID‐19 cases and deaths is significantly different in many ways. The spatiotemporal trend of the pandemic in the United States illustrates a shift out of many of the major metropolitan areas into the United States Southeast and Southwest during the summer months and into the upper Midwest beginning in autumn. Analysis of the major social vulnerability predictors of COVID‐19 infection and death found that counties with higher percentages of those not having a high school diploma, having non‐White status and being Age 65 and over to be significant. Among the environmental variables, above ground level temperature had the strongest effect on relative risk to both cases and deaths. Hot and cold spots, areas of statistically significant high and low COVID‐19 cases and deaths respectively, derived from the convolutional spatial effect show that areas with a high probability of above average relative risk have significantly higher Social Vulnerability Index composite scores. The same analysis utilizing the spatiotemporal interaction term exemplifies a more complex relationship between social vulnerability, environmental measurements, COVID‐19 cases, and COVID‐19 deaths.
Manifestations of Magnetotail Flow Channels in Energetic Particle Signatures at Low‐Altitude Orbit
Authors: Sergeev V. A. , Sun Weiqin , Yang Jian , Panov E. V. 
Published: July 2021

AbstractAlthough magnetotail bursty bulk flows (BBFs)/plasma bubbles are widely recognized as major plasma transport structures that provide particle acceleration and injection, their ionospheric signatures in energetic particles have not been established. In this study, we combine the ionospheric energetic proton flux (as a proxy to the equatorial pressure) and energetic electron loss‐cone filling rate (as a marker of the equatorial magnetic field) to detect a rapid traversal from stretched to dipolarized field lines across the BBF channel. During a nonsubstorm episode when multiple flow bursts were observed in the plasma sheet, we show remarkable step‐like increases of energetic proton flux (approaching 103 in some events) observed in the middle of nightside auroral zone. We also conduct a high‐resolution Rice Convection Model (RCM) simulation of a plasma‐sheet bubble intrusion into the inner magnetosphere. Besides confirmation of the observed signatures, the simulation illustrates variability of the ionospheric signatures of bubbles and provides guidance in future studies of flow burst interactions.
Field Observations of the Evolution of Plunging‐Wave Shapes
Authors: O'Dea Annika , Brodie Katherine , Elgar Steve 
Published: July 2021

AbstractThere are few high‐resolution field observations of the water surface during breaking owing to the difficulty of collecting spatially dense measurements in the surf zone, and thus the factors influencing breaking‐wave shape in field conditions remain poorly understood. Here, the shape and evolution of plunging breakers is analyzed quantitatively using three‐dimensional scans of the water surface collected at high spatial and temporal resolution with a multi‐beam terrestrial lidar scanner. The observed internal void shapes in plunging breakers agree well with previously developed theoretical shapes at the onset of breaking, and become more elongated and less steep as breaking progresses. The normalized void area increases as the local bottom slope steepens and as the breaking depth decreases. The void shape becomes more circular as the local bottom slope and the ratio of breaking water depth to wavelength increase, as well as in conditions with opposing winds.
Variation of Ice Microphysical Properties With Temperature and Humidity at Tops of Convective Clouds
Authors: van Diedenhoven Bastiaan 
Published: July 2021

AbstractA better understanding of the many interacting processes governing the evaluation of ice in natural clouds is required to improve the representation of ice clouds in global circulation models. Recent studies suggest a dominant role of vapor growth processes in determining the temperature dependence of cloud top ice sizes and shapes. Using airborne cloud remote sensing along with reanalysis data, here we show that observed cloud top ice effective radii and estimated normalized growth rates at cloud top highly correlate with an approximately linear relationship, which is consistent with a conceptual model also presented. Furthermore, significant differences in crystal shape characteristics and scattering asymmetry parameters are found between sub‐ and super‐saturated cloud tops over ocean, although not over land. These results provide valuable observational targets for studying ice formation and evolution processes using models, while also helping interpretation of satellite observations of ice microphysical properties at cloud tops.
Study of S‐Wave Microseisms Generated by Storms in the Southeast Australia and North Atlantic
Authors: Xiao Han , Tanimoto Toshiro , Xue Mei 
Published: July 2021

AbstractUsing continuous data from a dense seismic array in Southwestern China, we tracked S‐wave microseism sources generated by two storms in Southeast Australia and the North Atlantic. In the frequency band 0.1–0.2 Hz, the beam strengths for SV‐ and SH‐wave sources can reach 29% and 18% of P‐wave, respectively. We found that the strong SH‐wave is only observed when the seismic sources are near the thick sedimentary regions whereas P‐ and SV‐wave is irrespective of that. It appears that in addition to a three‐dimensional structure that is needed for conversion from P‐wave to SH‐wave, amplitude enhancement by a sedimentary layer is essential for the detection of SH‐wave.
Multi-objective parametrization of interatomic potentials for large deformation pathways and fracture of two-dimensional materials
Authors: Zhang Xu , Nguyen Hoang , Paci Jeffrey T. , Sankaranarayanan Subramanian K. R. S. , Mendoza-Cortes Jose L. , Espinosa Horacio D. 
Published: July 2021

AbstractThis investigation presents a generally applicable framework for parameterizing interatomic potentials to accurately capture large deformation pathways. It incorporates a multi-objective genetic algorithm, training and screening property sets, and correlation and principal component analyses. The framework enables iterative definition of properties in the training and screening sets, guided by correlation relationships between properties, aiming to achieve optimal parametrizations for properties of interest. Specifically, the performance of increasingly complex potentials, Buckingham, Stillinger-Weber, Tersoff, and modified reactive empirical bond-order potentials are compared. Using MoSe2as a case study, we demonstrate good reproducibility of training/screening properties and superior transferability. For MoSe2, the best performance is achieved using the Tersoff potential, which is ascribed to its apparent higher flexibility embedded in its functional form. These results should facilitate the selection and parametrization of interatomic potentials for exploring mechanical and phononic properties of a large library of two-dimensional and bulk materials.
A convolutional neural network for defect classification in Bragg coherent X-ray diffraction
Authors: Lim Bruce , Bellec Ewen , Dupraz Maxime , Leake Steven , Resta Andrea , Coati Alessandro , Sprung Michael , Almog Ehud , Rabkin Eugen , Schulli Tobias , Richard Marie-Ingrid 
Published: July 2021

AbstractCoherent diffraction imaging enables the imaging of individual defects, such as dislocations or stacking faults, in materials. These defects and their surrounding elastic strain fields have a critical influence on the macroscopic properties and functionality of materials. However, their identification in Bragg coherent diffraction imaging remains a challenge and requires significant data mining. The ability to identify defects from the diffraction pattern alone would be a significant advantage when targeting specific defect types and accelerates experiment design and execution. Here, we exploit a computational tool based on a three-dimensional (3D) parametric atomistic model and a convolutional neural network to predict dislocations in a crystal from its 3D coherent diffraction pattern. Simulated diffraction patterns from several thousands of relaxed atomistic configurations of nanocrystals are used to train the neural network and to predict the presence or absence of dislocations as well as their type (screw or edge). Our study paves the way for defect-recognition in 3D coherent diffraction patterns for material science.
Machine learning and evolutionary prediction of superhard B-C-N compounds
Authors: Chen Wei-Chih , Schmidt Joanna N. , Yan Da , Vohra Yogesh K. , Chen Cheng-Chien 
Published: July 2021

AbstractWe build random forests models to predict elastic properties and mechanical hardness of a compound, using only its chemical formula as input. The model training uses over 10,000 target compounds and 60 features based on stoichiometric attributes, elemental properties, orbital occupations, and ionic bonding levels. Using the models, we construct triangular graphs for B-C-N compounds to map out their bulk and shear moduli, as well as hardness values. The graphs indicate that a 1:1 B-N ratio can lead to various superhard compositions. We also validate the machine learning results by evolutionary structure prediction and density functional theory. Our study shows that BC10N, B4C5N3, and B2C3N exhibit dynamically stable phases with hardness values >40 GPa, which are superhard materials that potentially could be synthesized by low-temperature plasma methods.