bluuebunny/crossref_metadata_2025_split huggingface dataset:
La and S Co‐Doping Induced the Synergism of Multiphase Nickel‐Iron Nanosheets with Rich Oxygen Vacancies to Trigger Large‐Current‐Density Oxygen Evolution and Urea Oxidation Reactions
Authors: Gan Yonghao , Ye Ying , Dai Xiaoping , Yin Xueli , Cao Yihua , Cai Run , Feng Bo , Wang Qi , Zhang Xin 
Published: July 2023

AbstractThe development of cost‐effective electrocatalysts for oxygen evolution reaction (OER) and urea oxidation reaction (UOR) is of great significance for hydrogen production. Herein, La and S co‐doped multiphase electrocatalyst (LSFN‐63) is fabricated by metal‐corrosion process. FeOOH can reduce the formation energy of NiOOH, and enhance the stability of NiOOH as active sites for OER/UOR. The rich oxygen vacancies can increase the number of active sites, optimize the adsorption of intermediates, and improve electrical conductivity. Beyond, La and S co‐doping can also regulate the electronic structure of FeOOH. As a result, LSFN‐63 presents a low overpotential of 210/450 mV at 100/1000 mA cm−2, small Tafel slope (32 mV dec−1), and outstanding stability under 1000 mA cm−2@60 h, and can also display excellent OER activity with 180 mV at 250 mA cm−2 and long‐term catalytic durability at 250 mA cm−2@135 h in 30 wt% KOH under 60 °C. Moreover, LSFN‐63 demonstrates remarkable UOR performance in 1 m KOH + 0.5 m urea, which just requires an ultra‐small overpotential of 140 mV at 100 mA cm−2, and maintain long‐term durability over 120 h. This work opens up a promising avenue for the development of high‐efficiency electrocatalysts by a facile metal‐corrosion strategy.
A process calculus SMrCaIT for IoT
Authors: Chen Ningning , Zhu Huibiao 
Published: July 2023

AbstractWith the rapid popularization of smart devices, the applications and technologies of the Internet of Things (IoT) are in high demand worldwide, especially in improving development efficiency and ensuring system quality, reliability, and security. Formal methods have been successfully used to specify, verify, and analyze software and hardware systems, effectively alleviating the above problems in these systems. However, most of the existing works mainly focus on the practical applications of IoT, and there is a lack of research on modeling and analyzing IoT systems from the perspective of formal methods. In this paper, we first propose a secure mobile real‐time process calculus for specifying and reasoning about IoT systems, called SMrCaIT, which supports not only value‐passing communication but also name‐passing communication. In addition, this calculus can strictly separate process actions and mobility modeling by providing parametric mobility models. Subsequently, we present the operational semantics of this calculus, in particular, the rules on how to secure channel communication by closing the scope of a channel and handling scope extrusion. Taking vehicle ad hoc network (VANET) as a case, the application details of SMrCaIT and its operational semantics are fully demonstrated. By using the rewrite engine Real‐Time Maude, we further implement SMrCaIT and its operational semantics and verify some properties of the VANET case to indicate the effectiveness of our calculus in real‐world scenes.
Structured reporting in radiology enables epidemiological analysis through data mining: urolithiasis as a use case
Authors: Jorg Tobias , Halfmann Moritz C. , Rölz Niklas , Mager René , Pinto dos Santos Daniel , Düber Christoph , Mildenberger Peter , Müller Lukas 
Published: July 2023

Abstract
Purpose
To investigate the epidemiology and distribution of disease characteristics of urolithiasis by data mining structured radiology reports.

Methods
The content of structured radiology reports of 2028 urolithiasis CTs was extracted from the department’s structured reporting (SR) platform. The investigated cohort represented the full spectrum of a tertiary care center, including mostly symptomatic outpatients as well as inpatients. The prevalences of urolithiasis in general and of nephro- and ureterolithasis were calculated. The distributions of age, sex, calculus size, density and location, and the number of ureteral and renal calculi were calculated. For ureterolithiasis, the impact of calculus characteristics on the degree of possible obstructive uropathy was calculated.

Results
The prevalence of urolithiasis in the investigated cohort was 72%. Of those patients, 25% had nephrolithiasis, 40% ureterolithiasis, and 35% combined nephro- and ureterolithiasis. The sex distribution was 2.3:1 (M:F). The median patient age was 50 years (IQR 36–62). The median number of calculi per patient was 1. The median size of calculi was 4 mm, and the median density was 734 HU. Of the patients who suffered from ureterolithiasis, 81% showed obstructive uropathy, with 2nd-degree uropathy being the most common. Calculus characteristics showed no impact on the degree of obstructive uropathy.

Conclusion
SR-based data mining is a simple method by which to obtain epidemiologic data and distributions of disease characteristics, for the investigated cohort of urolithiasis patients. The added information can be useful for multiple purposes, such as clinical quality assurance, radiation protection, and scientific or economic investigations. To benefit from these, the consistent use of SR is mandatory. However, in clinical routine SR usage can be elaborate and requires radiologists to adapt.

Graphical abstract
Interrater reliability of motor severity scales for hemifacial spasm
Authors: Lee Ha Yeon , Park Ingyun , Luu Minnie P. , Zhao Jerry , Vu Jeanne P. , Cisneros Elizabeth , Berman Brian D. , Jinnah H. A. , Kim Han-Joon , Liu Catherine Y. , Perlmutter Joel S. , Richardson Sarah Pirio , Weissbach Anne , Stebbins Glenn T. , Peterson David A. 
Published: July 2023

AbstractTo compare the inter-rater reliability (IRR) of five clinical rating scales for video-based assessment of hemifacial spasm (HFS) motor severity. We evaluated the video recordings of 45 HFS participants recruited through the Dystonia Coalition. In Round 1, six clinicians with expertise in HFS assessed the participants’ motor severity with five scales used to measure motor severity of HFS: the Jankovic rating scale (JRS), Hemifacial Spasm Grading Scale (HSGS), Samsung Medical Center (SMC) grading system for severity of HFS spasms (Lee’s scale), clinical grading of spasm intensity (Chen’s scale), and a modified version of the Abnormal Involuntary Movement Scale (Tunc’s scale). In Round 2, clinicians rated the same cohort with simplified scale wording after consensus training. For each round, we evaluated the IRR using the intraclass correlation coefficient [ICC (2,1) single-rater, absolute-agreement, 2-way random model]. The scales exhibited IRR that ranged from “poor” to “moderate”; the mean ICCs were 0.41, 0.43, 0.47, 0.43, and 0.65 for the JRS, HSGS, Lee’s, Chen’s, and Tunc’s scales, respectively, for Round 1. In Round 2, the corresponding IRRs increased to 0.63, 0.60, 0.59, 0.53, and 0.71. In both rounds, Tunc’s scale exhibited the highest IRR. For clinical assessments of HFS motor severity based on video observations, we recommend using Tunc’s scale because of its comparative reliability and because clinicians interpret the scale easily without modifications or the need for consensus training.
Mimetic finite difference operators and higher order quadratures
Authors: Srinivasan Anand , Dumett Miguel , Paolini Christopher , Miranda Guillermo F. , Castillo José E. 
Published: July 2023

AbstractMimetic finite difference operators $$\textbf{D}$$
D
, $$\textbf{G}$$
G
are discrete analogs of the continuous divergence (div) and gradient (grad) operators. In the discrete sense, these discrete operators satisfy the same properties as those of their continuum counterparts. In particular, they satisfy a discrete extended Gauss’ divergence theorem. This paper investigates the higher-order quadratures associated with the fourth- and sixth- order mimetic finite difference operators, and show that they are indeed numerical quadratures and satisfy the divergence theorem. In addition, extensions to curvilinear coordinates are treated. Examples in one and two dimensions to illustrate numerical results are presented that confirm the validity of the theoretical findings.
Towards automatic EEG cyclic alternating pattern analysis: a systematic review
Authors: Mendonça Fábio , Mostafa Sheikh Shanawaz , Morgado-Dias Fernando , Ravelo-García Antonio G. , Rosenzweig Ivana 
Published: July 2023

AbstractThis study conducted a systematic review to determine the feasibility of automatic Cyclic Alternating Pattern (CAP) analysis. Specifically, this review followed the 2020 Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines to address the formulated research question: is automatic CAP analysis viable for clinical application? From the identified 1,280 articles, the review included 35 studies that proposed various methods for examining CAP, including the classification of A phase, their subtypes, or the CAP cycles. Three main trends were observed over time regarding A phase classification, starting with mathematical models or features classified with a tuned threshold, followed by using conventional machine learning models and, recently, deep learning models. Regarding the CAP cycle detection, it was observed that most studies employed a finite state machine to implement the CAP scoring rules, which depended on an initial A phase classifier, stressing the importance of developing suitable A phase detection models. The assessment of A-phase subtypes has proven challenging due to various approaches used in the state-of-the-art for their detection, ranging from multiclass models to creating a model for each subtype. The review provided a positive answer to the main research question, concluding that automatic CAP analysis can be reliably performed. The main recommended research agenda involves validating the proposed methodologies on larger datasets, including more subjects with sleep-related disorders, and providing the source code for independent confirmation.
Applying particle swarm optimization-based dynamic adaptive hyperlink evaluation to focused crawler for meteorological disasters
Authors: Liu Jingfa , Yang Zhihe , Yan Xueming , Chen Duanbing 
Published: July 2023

AbstractTraditional semantic-based focused crawlers calculate the topical priority of hyperlink by linearly integrating topical similarity evaluation metrics and empirical weights. However, the manually pre-determined weights may introduce bias in evaluating hyperlinks, resulting in topic deviation during crawling. To address this problem, we propose a dynamic adaptive procedure based on particle swarm optimization which dynamically updates weights in every crawling step and put forward a new focused crawler, called FCPSO. In FCPSO, we utilize domain ontology for topic representation and a comprehensive priority evaluation method to evaluate the topical priority of hyperlink. Furthermore, we construct a multi-objective optimization model for hyperlink selection, in which the strategy of the non-dominant sorting with the nearest farthest candidate solution is proposed to select Pareto-optimal hyperlinks and guide the crawling direction. Extensive experiments demonstrate the effectiveness of FCPSO over other strategies that it can obtain more topic-relevant webpages with less time consumption.
Computer vision-based hand gesture recognition for human-robot interaction: a review
Authors: Qi Jing , Ma Li , Cui Zhenchao , Yu Yushu 
Published: July 2023

AbstractAs robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of robotics. Thus, there has been growing interest in the development of vision-based hand gesture recognition for HRI to bridge human-robot barriers. The aim is for interaction with robots to be as natural as that between individuals. Accordingly, incorporating hand gestures in HRI is a significant research area. Hand gestures can provide natural, intuitive, and creative methods for communicating with robots. This paper provides an analysis of hand gesture recognition using both monocular cameras and RGB-D cameras for this purpose. Specifically, the main process of visual gesture recognition includes data acquisition, hand gesture detection and segmentation, feature extraction and gesture classification, which are discussed in this paper. Experimental evaluations are also reviewed. Furthermore, algorithms of hand gesture recognition for human-robot interaction are examined in this study. In addition, the advances required for improvement in the present hand gesture recognition systems, which can be applied for effective and efficient human-robot interaction, are discussed.
If that’s what she said, then that’s what she said: a usage-based, constructional analysis of pleonastic conditionals in English
Authors: Sommerer Lotte 
Published: July 2023

AbstractThis paper investigates so-called pleonastic conditionals (PCs) in Present Day English, e.g. If you have to, you have to or When duty calls, duty calls. PCs are rhetorical statements in which the antecedent and the consequent are formally and semantically identical. The construction is characterized by stylistic reduplication and semantic redundancy. It is exactly this tautological nature which has a considerable effect on the discourse-pragmatic functions of the construction. The paper analyzes the construction’s frequency, form and functions by looking at data from three BYU corpora: the Movie Corpus (Davies, 2019), the TV Corpus (Davies, 2019), the Corpus of American Soap Operas (Davies, 2011). 2151 examples of if- and when-PCs are analyzed qualitatively and quantitatively. It is argued that PCs are functionally too different to be classified as default conditionals in the strict sense simply because they do not express a condition or inference. PCs are constructions used to express acceptance, indifference or certainty of the proposition. On top of that, they also code prototypicality which is a function completely overlooked in the literature so far. A Logistic Regression Model is fitted to predict the choice of the connector if or when. The statistical analysis confirms that the two types have different constructional profiles. With regards to theoretical modeling, the paper analyzes PCs from a usage-based, cognitive, construction grammar point of view and sketches the constructions’ form-meaning parings as well as their horizontal and vertical connections in the constructicon.
Improving land-use-based urbanism through award-winning planning practice and scholarship: a North American case study
Authors: Balsas Carlos J. L. 
Published: July 2023

AbstractMetropolises in the Sunbelt region of the USA are in need of sensitive land-use-based urbanism comprised of more compact development, sustainable transportation, efficient infrastructure, low-carbon energy, and greenway and environmental planning. Sustainable urbanity can be partially accomplished via co-creative planning pedagogies, which in turn can lead to place-and evidence-based planning practice and scholarship. However, student work is often underappreciated because academia does not create the visibility that it requires. Planning studios and other applied disciplines are invaluable opportunities to conduct in loco research and to produce professional or near-professional documents. Town-gown collaborative projects offer many rewards. This article showcases how various undergraduate and graduate disciplines offered at Arizona State University resulted in state-level professional planning awards. It is stated that students ought to go beyond the delivery of planning documents to their instructors and clients to also seek recognition from their professional associations. More encompassing recognition of award-winning work is sure to receive further visibility not only from professionals but also from the community at large. The methodology comprised mostly qualitative policy evaluation of plan making processes. A set of lessons learned and implications is offered for those who wish to venture out in this type of academic collaborations, namely instructors, students, stakeholders, university administrators, elected officials, and professional planners. The key finding is that the land-use-based urbanism strategies discussed in the paper can encourage land preservation in arid cities and above all increase the quality of urban life in desert environments.
High‐Accuracy Classification of Radiation Waveforms of Lightning Return Strokes
Authors: Wu Ting , Wang Daohong , Takagi Nobuyuki 
Published: July 2023

AbstractA machine‐learning classifier for radiation waveforms of negative return strokes (RSs) is built and tested based on the Random Forest classifier using a large data set consisting of 14,898 negative RSs and 159,277 intracloud (IC) pulses with 3‐D location information. Eleven simple parameters including three parameters related with pulse characteristics and eight parameters related with the relative strength of pulses are defined to build the classifier. Two parameters for the evaluation of the classifier performance are also defined, including the classification accuracy, which is the percentage of true RSs in all classified RSs, and the identification efficiency, which is the percentage of correctly classified RSs in all true RSs. The tradeoff between the accuracy and the efficiency is examined and simple methods to tune the tradeoff are developed. The classifier achieved the best overall performance with an accuracy of 98.84% and an efficiency of 98.81%. With the same technique, the classifier for positive RSs is also built and tested using a data set consisting of 8,700 positive RSs. The classifier has an accuracy of 99.04% and an efficiency of 98.37%. By examining misclassified waveforms, we show evidence that some RSs and IC discharges produce special radiation waveforms that are almost impossible to correctly classify without 3‐D location information, resulting in a fundamental difficulty to achieve very high accuracy and efficiency in the classification of lightning radiation waveforms.
Herpes zoster vaccine safety in the Aotearoa New Zealand population: a self-controlled case series study
Authors: Mbinta James F. , Wang Alex X. , Nguyen Binh P. , Paynter Janine , Awuni Prosper Mandela A. , Pine Russell , Sporle Andrew A. , Bowe Steve , Simpson Colin R. 
Published: July 2023

AbstractIn Aotearoa New Zealand, zoster vaccine live is used for the prevention of zoster and associated complications in adults. This study assessed the risk of pre-specified serious adverse events following zoster vaccine live immunisation among adults in routine clinical practice. We conducted a self-controlled case series study using routinely collected national data. We compared the incidence of serious adverse events during the at-risk period with the control period. Rate ratios were estimated using Conditional Poisson regression models. Falsification outcomes analyses were used to evaluate biases in our study population. From April 2018 to July 2021, 278,375 received the vaccine. The rate ratio of serious adverse events following immunisation was 0·43 (95% confidence interval [CI]: 0·37–0·50). There was no significant increase in the risk of cerebrovascular accidents, acute myocardial infarction, acute pericarditis, acute myocarditis, and Ramsay–Hunt Syndrome. The herpes zoster vaccine is safe in adults in Aotearoa New Zealand.
The muscle-enriched myokine Musclin impairs beige fat thermogenesis and systemic energy homeostasis via Tfr1/PKA signaling in male mice
Authors: Jin Lu , Han Shuang , Lv Xue , Li Xiaofei , Zhang Ziyin , Kuang Henry , Chen Zhimin , Lv Cheng-an , Peng Wei , Yang Zhuoying , Yang Miqi , Mi Lin , Liu Tongyu , Ma Shengshan , Qiu Xinyuan , Wang Qintao , Pan Xiaowen , Shan Pengfei , Feng Yu , Li Jin , Wang Fudi , Xie Liwei , Zhao Xuyun , Fu Jun-Fen , Lin Jiandie D. , Meng Zhuo-Xian 
Published: July 2023

AbstractSkeletal muscle and thermogenic adipose tissue are both critical for the maintenance of body temperature in mammals. However, whether these two tissues are interconnected to modulate thermogenesis and metabolic homeostasis in response to thermal stress remains inconclusive. Here, we report that human and mouse obesity is associated with elevated Musclin levels in both muscle and circulation. Intriguingly, muscle expression of Musclin is markedly increased or decreased when the male mice are housed in thermoneutral or chronic cool conditions, respectively. Beige fat is then identified as the primary site of Musclin action. Muscle-transgenic or AAV-mediated overexpression of Musclin attenuates beige fat thermogenesis, thereby exacerbating diet-induced obesity and metabolic disorders in male mice. Conversely, Musclin inactivation by muscle-specific ablation or neutralizing antibody treatment promotes beige fat thermogenesis and improves metabolic homeostasis in male mice. Mechanistically, Musclin binds to transferrin receptor 1 (Tfr1) and antagonizes Tfr1-mediated cAMP/PKA-dependent thermogenic induction in beige adipocytes. This work defines the temperature-sensitive myokine Musclin as a negative regulator of adipose thermogenesis that exacerbates the deterioration of metabolic health in obese male mice and thus provides a framework for the therapeutic targeting of this endocrine pathway.
Transcriptional and spatial profiling of the kidney allograft unravels a central role for FcyRIII+ innate immune cells in rejection
Authors: Lamarthée Baptiste , Callemeyn Jasper , Van Herck Yannick , Antoranz Asier , Anglicheau Dany , Boada Patrick , Becker Jan Ulrich , Debyser Tim , De Smet Frederik , De Vusser Katrien , Eloudzeri Maëva , Franken Amelie , Gwinner Wilfried , Koshy Priyanka , Kuypers Dirk , Lambrechts Diether , Marquet Pierre , Mathias Virginie , Rabant Marion , Sarwal Minnie M. , Senev Aleksandar , Sigdel Tara K. , Sprangers Ben , Thaunat Olivier , Tinel Claire , Van Brussel Thomas , Van Craenenbroeck Amaryllis , Van Loon Elisabet , Vaulet Thibaut , Bosisio Francesca , Naesens Maarten 
Published: July 2023

AbstractRejection remains the main cause of premature graft loss after kidney transplantation, despite the use of potent immunosuppression. This highlights the need to better understand the composition and the cell-to-cell interactions of the alloreactive inflammatory infiltrate. Here, we performed droplet-based single-cell RNA sequencing of 35,152 transcriptomes from 16 kidney transplant biopsies with varying phenotypes and severities of rejection and without rejection, and identified cell-type specific gene expression signatures for deconvolution of bulk tissue. A specific association was identified between recipient-derived FCGR3A+ monocytes, FCGR3A+ NK cells and the severity of intragraft inflammation. Activated FCGR3A+ monocytes overexpressed CD47 and LILR genes and increased paracrine signaling pathways promoting T cell infiltration. FCGR3A+ NK cells overexpressed FCRL3, suggesting that antibody-dependent cytotoxicity is a central mechanism of NK-cell mediated graft injury. Multiplexed immunofluorescence using 38 markers on 18 independent biopsy slides confirmed this role of FcγRIII+ NK and FcγRIII+ nonclassical monocytes in antibody-mediated rejection, with specificity to the glomerular area. These results highlight the central involvement of innate immune cells in the pathogenesis of allograft rejection and identify several potential therapeutic targets that might improve allograft longevity.