bluuebunny/crossref_metadata_2025_split huggingface dataset:
Facile regeneration of oxidized porous carbon nitride rods by the de-aromatization of the heptazine network in bulk g-C3N4
Authors: Zhang Qingqing , Chen Yuhe , Zhao Chengxiao , Yang Xiaofei , Chen Zupeng 
Published: January 2022

The one-dimensional oxidized porous carbon nitride rods via de-aromatization of the heptazine network in bulk g-C3N4 exhibit excellent photocatalytic activity towards the degradation of rhodamine B compared with that of bulk g-C3N4.
Comprehension of Vernacular Features in Aphasia
Authors: Sandberg Chaleece W. , Blanchette Frances , Lukyanenko Cynthia 
Published: January 2022

Purpose:

Insights from linguistic variation research illustrate a linguistically diverse population, in which even speakers who can be classified as speaking a “mainstream” variety have grammatical knowledge of vernacular or “nonmainstream” features. However, there is a gap in our knowledge regarding how vernacular features are comprehended in people with aphasia (PWA). This article presents the results of a pilot study exploring how PWA respond to linguistic stimuli that include the vernacular feature, negative concord (NC), often referred to by the more colloquial term
double negative
(e.g.,
I didn't do nothing
, equivalent to
I didn't do anything
).

Method:
Twelve PWA in the chronic stage of recovery each rated the naturalness and felicity of 48 critical sentences and 64 fillers, all of which contained two clauses, the second clause describing a consequence of the first. Ratings were analyzed using ordinal regression.

Results:
PWA rated NC sentences as unacceptable, but felicitous—a pattern similar to that shown by neurologically intact adults in a previous study.

Conclusions:
These results suggest that PWA are sensitive to both social and linguistic information at levels similar to neurologically intact speakers. These results have implications for the integration of vernacular features into future research, assessment, and treatment protocols for PWA.

Supplemental Material:

https://doi.org/10.23641/asha.19027322
An improved BP neural network‐based calibration method for the capacitive flexible three‐axis tactile sensor array
Authors: Hu Zhikai , Xia Renqiu , Chu Zhongyi 
Published: January 2022

AbstractFlexible tactile sensing based on capacitive sensing has become a research hotspot in recent years because of its low energy consumption, high performance and wide application prospects. However, the axis error caused by the coupling deformation of the dielectric will seriously affect the accuracy of the sensor. In this paper, a capacitive flexible three‐axis tactile sensor array is modelled and simulated, and a neural network‐based calibrator for the three‐axis sensor array is proposed, which can be used to calibrate the simulated measurement data. The simulation results show that even though the correlation coefficient of linear regression for each axis is very close to 1, the effect of dielectric nonlinear coupling distortion cannot be eliminated. The calibration method based on the neural network can effectively suppress the nonlinear coupling distortion of the dielectric, and reduce the measurement coupling rate of the sensor model from 26% to 1%. At the same time, in order to ensure the measurement accuracy and robustness of different units in the sensor array, the input layer of the calibrator is expanded, and the data set containing capacitance information and two‐dimensional location information is used for training. The experimental results show that the proposed calibration method combining two‐dimensional position information training accurately calibrates the capacitive flexible three‐dimensional tactile sensor array.
Design of a novel wireless information surveillance scheme assisted by reconfigurable intelligent surface
Authors: Ji Taotao , Hua Meng , Li Chunguo , Huang Yongming , Yang Luxi 
Published: January 2022

AbstractThis paper investigates a novel wireless information surveillance scheme assisted by reconfigurable intelligent surface (RIS) beamforming and artificial noise jamming cooperation, aiming at monitoring the information sent by an access point (AP) to a suspicious illegal user (SIU). It is assumed that the AP adopt the fixed maximum ratio transmission (MRT) precoding scheme, which is not affected by the information monitoring party. The goal of this paper is to maximize the effective information monitoring rate by jointly optimizing the RIS phase shifts, the receive beamforming vector of the legitimate receiver (LR), and the transmit beamforming vector along with jamming power of the jamming antenna (JA). The resultant optimization problem is non‐convex, and its optimization variables are highly coupled in the objective function and constraints. To tackle this difficulty, the optimization variables are optimized under the alternate optimization (AO) framework. Especially, the intractable RIS phase shifts are optimized by using Riemannian manifold optimization (RMO) algorithm under the penalty dual decomposition (PDD) framework and the semidefinite relaxation (SDR) technique, respectively. Numerical results verify the effectiveness of the proposed algorithms, and also demonstrate the superiority of the designed wireless information surveillance scheme over other benchmark schemes.
Time‐averaged and instantaneous magnetic loss characteristics of different products of electrical steel for frequencies of 16 2/3 Hz up to 500 Hz
Authors: Shilyashki Georgi , Pfützner Helmut , Bengtsson Claes , Huber Emanuel 
Published: January 2022

AbstractTraditionally, products of electrical SiFe steel are focussed on applications for frequencies of 50–Hz. However, the recent developments of electric drive systems yielded a strong extension of the range from f = 16 2/3 Hz up to ca. 500 Hz. In spite of high industrial relevance, the literature offers the corresponding data on the material’s magnetic energy losses in very rare ways. This paper reports a first comparative, multi‐parametric study on eight different steel products that comprise non‐oriented steels (NO), grain‐oriented steels (GO) and scribed grain‐oriented steels (SGO). Consistently at IEC‐standardized samples, they were analysed for the whole frequency range that was split into low frequency (LF) and medium frequency (MF), with 80 Hz as the border. Data is presented on time‐averaged total losses P, on the corresponding hysteresis losses PH and eddy current losses PE. LF proved to be governed by PH and MF rather by PE, however, with strong variations. Further, instantaneous magnetization power functions p(φ) were determined for basic insights into the involved temporal developments of energy dissipation. GO‐steels yielded profiles close to rectified co‐sinus functions that can be fully attributed to dissipative losses. On the other hand, p(t) of NO‐steels and SGO‐steels prove to include negative segments that reflect potential energy power, in the course of alignments of atomic moments in instants of high induction. Examples of industrial relevance of the accumulated data are steel production technology, product categorization, failure tracing and energy conversion.
Segmentation of lung airways based on deep learning methods
Authors: Tan Wenjun , Liu Pan , Li Xiaoshuo , Xu Shaoxun , Chen Yufei , Yang Jinzhu 
Published: January 2022

AbstractPrecise segmentation of the lung airways is essential for a quantitative assessment of airway diseases. However, because of the complexity of the airway structure and the different thicknesses of the trachea at different positions, it is extremely difficult to segment the fine bronchial structure using chest computed tomography (CT). Traditional lung airway segmentation methods are generally based on the grayscale, geometric shape of the image, or the use of prior knowledge of anatomy. In recent years, deep learning techniques such as fully convolutional neural networks (FCNs) have achieved a great success in the field of image segmentation. Specifically, the symmetric encoder–decoder network represented by U‐Net has achieved high accuracy in many medical image segmentation tasks. In the airway segmentation challenge task of the 4th International Symposium on Image Computing and Digital Medicine (ISICDM 2020), 9 of the 12 teams participating in the final round used the U‐Net network or one of its other forms, obtaining good results for lung airway segmentation. Methods used to improve the segmentation accuracy include attention mechanisms and multiscale feature information fusion. This article provides a detailed description of the methods used by these 12 teams and analyses their results.
Modulation of a semi dual‐active‐bridge resonant converter with soft‐switching and zero backflow power
Authors: Zhou Sheng‐Zhi , Li Xiaodong , Wang Haiying , Huang Pu 
Published: January 2022

AbstractIn this paper, two phase‐shift angles plus switching frequency are modulated to control a semi dual‐active‐bridge resonant converter. The full operation map with distinctive steady‐state modes under the multi‐dimensional control is constructed at first. Based on the characteristics of the analysis results, a modulation strategy with zero backflow power is proposed to depress conduction loss, which is able to maintain full soft‐switching operation as well. Extensive validation through experimental test on a 500 W lab prototype converter have been done successfully. Improvement of conversion efficiency can be confirmed by means of comparisons with previous works.
Astrophysical parameters from Gaia DR2, 2MASS, and AllWISE
Authors: Fouesneau M. , Andrae R. , Dharmawardena T. , Rybizki J. , Bailer-Jones C. A. L. , Demleitner M. 
Published: January 2022

Context. Physical and dynamical stellar properties are essential knowledge for understanding the structure, formation, and evolution of our Galaxy.
Aims. We produced a uniformly derived all-sky catalog of stellar astrophysical parameters (APs; age, mass, temperature, bolometric luminosity, distance, and dust extinction) to provide insight into the physical properties of Milky Way stars.
Methods. Exploiting the power of multiwavelength and multi-survey observations from Gaia DR2 parallaxes and integrated photometry along with 2MASS and AllWISE photometry, we introduce a uniformly derived all-sky catalog of stellar APs, including dust extinction (A0) average grain size (R0) along the line of sight, for 123 076 271 stars. In contrast with previous works, we do not use a Galactic model as a prior in our analysis.
Results. We validate our results against other work in the literature (e.g., benchmark stars, interferometry, Bayestar, and StarHorse). The limited optical information in the Gaia photometric bands or the lack of ultraviolet or spectroscopic information renders the chemistry inference prior-dominated. We demonstrate that Gaia parallaxes bring sufficient leverage to explore the detailed structures of the interstellar medium in our Milky Way.
Conclusions. In Gaia DR3, we will obtain the dispersed optical light information that will help us break through some limitations of this analysis, allowing us to infer stellar chemistry in particular. Gaia promises us data that we can use to construct the most detailed view of the chemo-dynamics of field star populations in our Galaxy.
Potential Anti-allergic Effects of Bibenzyl Derivatives from Liverworts, Radula perrottetii
Authors: Asai Haruka , Kato Koichi , Suzuki Moe , Takahashi Misato , Miyata Erika , Aoi Moeka , Kumazawa Reika , Nagashima Fumihiro , Kurosaki Hiromasa , Aoyagi Yutaka , Fukuishi Nobuyuki 
Published: January 2022

AbstractThe liverwort Radula perrottetii contains various bibenzyl derivatives which are known to possess various biological activities, such as anti-inflammatory effects. Mast cells (MC)
play crucial roles in allergic and inflammatory diseases; thus, inhibition of MC activation is pivotal for the treatment of allergic and inflammatory disorders. We investigated the effects
of perrottetin D (perD), isolated from Radula perrottetii, and perD diacetate (Ac-perD) on antigen-induced activation of MCs. Bone marrow–derived MCs (BMMCs) were generated from
C57BL/6 mice. The degranulation ratio, histamine release, and the interleukin (IL)-4 and leukotriene B4 productions on antigen-triggered BMMC were investigated. Additionally, the
effects of the bibenzyls on binding of IgE to FcεRI were observed by flow cytometry, and signal transduction proteins was examined by Western blot. Furthermore, binding of the
bibenzyls to the Fyn kinase domain was calculated. At 10 µM, perD decreased the degranulation ratio (p < 0.01), whereas 10 µM Ac-perD down-regulated IL-4 production (p < 0.05) in
addition to decreasing the degranulation ratio (p < 0.01). Both compounds tended to decrease histamine release at a concentration of 10 µM. Although 10 µM perD reduced only Syk
phosphorylation, 10 µM Ac-perD diminished phosphorylation of Syk, Gab2, PLC-γ, and p38. PerD appeared to selectively bind Fyn, whereas Ac-perD appeared to act as a weak but
broad-spectrum inhibitor of kinases, including Fyn. In conclusion, perD and Ac-perD suppressed the phosphorylation of signal transduction molecules downstream of the FcεRI and
consequently inhibited degranulation, and/or IL-4 production. These may be beneficial potential lead compounds for the development of novel anti-allergic and anti-inflammatory drugs.
4-(tert-Butyldiphenylsilyloxy)-2,2-dimethylbutanoyl: An Easily Removable Pivaloyl-Type Protecting Group with High Orthogonality
Authors: Li Ming , Li Qishuai , Su Yong , Qiao Zhi , Wang Jianjun , Wang Peng , Ren Sumei , Song Ni 
Published: January 2022

AbstractProtecting groups play multiple and vital roles during the synthesis of carbohydrates and other natural products. We herein report the installation and orthogonal cleavage, under mild conditions, of a 4-(tert-butyldiphenylsilyloxy)-2,2-dimethylbutanoyl (BDMB) group as a sterically hindered pivaloyl-type hydroxy protecting group. The compatibility of this substituent with the removal of other protecting groups is also investigated. Due to its advantageous properties, BDMB is anticipated to function as a valuable agent for masking hydroxy groups.
Developing Dashboards to Address Children's Health Disparities in Ohio
Authors: Jonnalagadda Pallavi , Swoboda Christine , Singh Priti , Gureddygari Harish , Scarborough Seth , Dunn Ian , Doogan Nathan J. , Fareed Naleef 
Published: January 2022

Abstract
Objectives Social determinants of health (SDoH) can be measured at the geographic level to convey information about neighborhood deprivation. The Ohio Children's Opportunity Index (OCOI) is a composite area-level opportunity index comprised of eight health domains. Our research team has documented the design, development, and use cases of a dashboard solution to visualize OCOI.
Methods The OCOI is a multidomain index spanning the following eight domains: (1) family stability, (2) infant health, (3) children's health, (4) access, (5) education, (6) housing, (7) environment, and (8) criminal justice. Information on these eight domains is derived from the American Community Survey and other administrative datasets. Our team used the Tableau Desktop visualization software and applied a user-centered design approach to developing the two OCOI dashboards—main OCOI dashboard and OCOI-race dashboard. We also performed convergence analysis to visualize the census tracts where different health indicators simultaneously exist at their worst levels.
Results The OCOI dashboard has multiple, interactive components as follows: a choropleth map of Ohio displaying OCOI scores for a specific census tract, graphs presenting OCOI or domain scores to compare relative positions for tracts, and a sortable table to visualize scores for specific county and census tracts. A case study using the two dashboards for convergence analysis revealed census tracts in neighborhoods with low infant health scores and a high proportion of minority population.
Conclusion The OCOI dashboards could assist health care leaders in making decisions that enhance health care delivery and policy decision-making regarding children's health particularly in areas where multiple health indicators exist at their worst levels.
Factors influencing customer preference of cardless technology over the card for cash withdrawals: an extended technology acceptance model
Authors: Nambiar Bindu K. , Bolar Kartikeya 
Published: January 2022

AbstractIt can seem paradoxical that someone who evades the use of a debit card still wants access to cash and is willing to use their mobile device at an ATM. The cardless cash technology delivers a solution that is an improvement over the traditional form of cash delivery. This study explores the influential factors that affect the preference of cardless cash over cards. A cross-sectional survey was utilised to collect both data through a self-administered questionnaire. A total of 521 bank customers from one of the largest banks in India participated in the study employing a convenience sampling technique. The responses were analysed using a predictive analytics approach with various statistical and data mining techniques. Customers preferred cardless cash because of its usefulness over the Card rather than perceived ease of use, customer trust, or perceived security. This paper contributes to the banking world's ways of pre-stage access to cash, reducing customer contact at ATMs. It highlights the main factors that influence customer's preference towards using cardless cash technology at ATMs, helping banks spread the newest technology used to provide a financial instrument that has been here for centuries—cash.
Judge-dependence in quality nouns
Authors: Cong Yan 
Published: January 2022

AbstractBy combining the idea of property concepts and the kernel-based theory of subjectivity, this paper proposes an analysis of the otherwise mysterious behavior of the Mandarin “you” predicates, where subjectivity/evidentiality and possessive/attributive readings come and go in an intricate way. The paper presents a phenomenon of Mandarin called possessive Property Concept predicates, involving a possessive morphemeyou“have” and a bare NP. Studying the subjectivity puzzle in Chinese advances our understanding of information source and information force in the following way. The Chinese fact, as a separate element, is part of the bigger picture about subjectivity. To explain how the subjectivity predicate as a natural class connects with evidentiality, this paper provides an approach to probe subjectivity through examining the information source change, which is derived from removing or adding evidential morpheme(s).
The property concepts and the possessive verb Ū ‘Have’ in Taiwan Southern Min
Authors: Cheng Adæmrys Chihjen 
Published: January 2022

AbstractThis paper delineates an alternative analysis of the property concepts ofū‘have’ in Taiwan Southern Min, claiming that the complements serve syntactically as the nominal gradabilities through three syntactic (constituency) tests, and supported by a crosslinguistic perspective. Additionally, in the vein of Distributed Morphology, the gradability functions as annP (also as a nominalization), in contrast with NP/DP. From a typological perspective, it is not peculiar forūto select a nominalization of property concept to signal a reading of property-denoting. Moreover, I illustrate the semantics of a possessive property concept construction in Taiwan Southern Min, according to Francez and Koontz-Garboden (2015,2017). I further propose a modal aspectual semantics to interpret the various temporal readings ofū. Finally, I draw a conclusion to my alternative analyses.
Partitive pronouns in intransitive contexts in Italian and Dutch
Authors: Sleeman Petra 
Published: January 2022

AbstractIn the literature it is often assumed that partitive pronouns can only be used in combination with elliptical objects of transitive or unaccusative verbs. Some counterevidence has been provided as well, however, showing that partitive pronouns may also occur with intransitive verbs. In this paper it is investigated, by means of a Grammaticality Judgment Task, if native speakers of Italian and Dutch accept the use of the partitive pronoun with three types of intransitive verbs, in combination with an elliptical quantified adverbial NP. It is shown that both groups of participants were quite ready to accept the partitive pronoun in these cases, in some contexts more than in others. Various explanations for the results are considered and one more specific suggestion is made to account for the data, also based on a comparison with other constructions and other languages.
Translatophilia
Authors: Lee Tong King 
Published: January 2022

Abstract
This article advances the notion of translatophilia, defined as the fetishisation of translation in hypercorrection of its perceived marginalisation. Using how Translation Studies scholars have engaged with the copyright regime in postpositivist fashion as a case in point, it argues that in the course of resisting structuralist notions of originality and authorship, Translation Studies has ironically come to fetishise its object of study as the privileged site of a new individuality and personality – romantic myths it initially set out to dispel. In light of the recent ‘outward turn’ in Translation Studies, the article identifies sources of anxiety in the field that have pushed it toward extreme theorisation. It proposes that before Translation Studies makes its outward turn, it is pertinent for it to first turn inward to combat its translatophiliac tendencies.
Optimal convergence of finite element approximation to an optimization problem with PDE constraint*
Authors: Gong Wei , Tan Zhiyu , Zhou Zhaojie 
Published: January 2022

Abstract
We study in this paper the optimal convergence of finite element approximation to an optimization problem with PDE constraint. Specifically, we consider an elliptic distributed optimal control problem without control constraints, which can also be viewed as a regularized inverse source problem. The main contributions are two-fold. First, we derive a priori and a posteriori error estimates for the optimization problems, under an appropriately chosen norm that allows us to establish an isomorphism between the solution space and its dual. These results yield error estimates with explicit dependence on the regularization parameter α so that the constants appeared in the derivation are independent of α. Second, we prove the contraction property and rate optimality for the adaptive algorithm with respect to the error estimator and solution errors between the adaptive finite element solutions and the continuous solutions. Extensive numerical experiments are presented that confirm our theoretical results.