bluuebunny/crossref_metadata_2025_split huggingface dataset:
An anthropomorphic thyroid phantom for ultrasound‐guided radiofrequency ablation of nodules
Authors: Boers Tim , Brink Wyger , Bianchi Leonardo , Saccomandi Paola , van Hespen Johan , Wennemars Germen , Braak Sicco , Versluis Michel , Manohar Srirang 
Published: December 2023

AbstractBackgroundNeedle‐based procedures, such as fine needle aspiration and thermal ablation, are often applied for thyroid nodule diagnosis and therapeutic purposes, respectively. With blood vessels and nerves nearby, these procedures can pose risks in damaging surrounding critical structures.PurposeThe development and validation of innovative strategies to manage these risks require a test object with well‐characterized physical properties. For this work, we focus on the application of ultrasound‐guided thermal radiofrequency ablation.MethodsWe have developed a single‐use anthropomorphic phantom mimicking the thyroid and surrounding anatomical and physiological structures that are relevant to ultrasound‐guided thermal ablation. The phantom was composed of a mixture of polyacrylamide, water, and egg white extract and was cast using molds in multiple steps. The thermal, acoustical, and electrical characteristics were experimentally validated. The ablation zones were analyzed via non‐destructive T2‐weighted magnetic resonance imaging scans utilizing the relaxometry changes of coagulated egg albumen, and the temperature distribution was monitored using an array of fiber Bragg grating sensors.ResultsThe physical properties of the phantom were verified both on ultrasound as well as in terms of the phantom response to thermal ablation. The final temperature achieved (92°C), the median percentage of the nodule ablated (82.1%), the median volume ablated outside the nodule (0.8 mL), and the median number of critical structures affected (0) were quantified.ConclusionAn anthropomorphic phantom that can provide a realistic model for development and training in ultrasound‐guided needle‐based thermal interventions for thyroid nodules has been presented.
New nurses' turnover intention and clinical belonging, based on latent class analysis (LCA)
Authors: Li Guomin , Wu Yue‐Ting , Asghar Ali , Zhong Yinqin 
Published: December 2023

AbstractAimTo identify potential categories of clinical belonging among new nurses and explore the relationship between different categories and turnover intention.DesignA cross sectional study.MethodA cross sectional study was conducted among 348 new nurses from tertiary hospitals in Hainan and Guangdong provinces. A general data questionnaire, clinical belonging scale and turnover intention scale were used for examination. Further, the potential categories were used to analyse the categories of clinical belonging, and latent class analysis was utilized to analyse the relationship between different categories of clinical belonging and turnover intention.ResultsThe clinical sense of belonging of new nurses were divided into three groups namely C1, C2 and C3. The C1: poor clinical sense of belonging (8.7%), C2: moderate clinical sense of belonging (57.9%) and C3: rich clinical sense of belonging (33.4%). The risk of the turnover intention of new nurses with ‘poor clinical sense of belonging’ was 0.62 times that of new nurses with ‘rich clinical sense of belonging’ (OR = 0.62, p < 0.01), which was 0.24 times that of ‘moderate clinical sense of belonging’ (OR = 0.24, p < 0.01), the risk of the turnover intention of new nurses with ‘moderate clinical sense of belonging’ was 0.13 times that of new nurses with ‘rich clinical sense of belonging’(OR = 0. 13, p < 0.01).ConclusionsThe results of our study revealed that in order to enhance the new nurses' sense of belonging, support was most crucial when they were first encountering difficulties. To reduce turnover intention, more structured learning opportunities are also required to maximize learning for newly graduated nurses with various nursing degrees.Patient or Public ContributionThere are no patient or public contributions in this study.
Endoscopic Versus Microscopic Type I Tympanoplasty: An Updated Systematic Review and Meta‐analysis
Authors: Wang Tang‐Chuan , Shih Tzu‐Ching , Chen Chin‐Kuo , Hsieh Vivian Chia‐Rong , Lin Dan‐Jae , Tien Hui‐Chi , Chen Kuang‐Chao , Tsai Ming‐Hsui , Lin Chia‐Der , Tsai Chon‐Haw 
Published: December 2023

AbstractObjectiveOur objective was to perform a systematic review and meta‐analysis comparing the clinical outcomes after endoscopic and microscopic type I tympanoplasty.Study DesignRandomized controlled trials, two‐arm prospective studies, and retrospective studies were included.SettingMedline, Cochrane, EMBASE, and Google Scholar databases were searched until March 1, 2022 using the combinations of search terms: “endoscopic,” “microscopic,” and “tympanoplasty.”MethodsTwo independent reviewers utilized the abovementioned search strategy to identify eligible studies. If any uncertainty existed regarding eligibility, a third reviewer was consulted. Primary outcome measures were graft success rate, air‐bone gap (ABG) improvement, and operative time. Secondary outcomes were the rate of need for canalplasty, the proportion of self‐rated excellent cosmetic results, and pain visual analog scale (VAS).ResultsForty‐three studies enrolled a total of 3712 patients who were undergoing type I tympanoplasty and were finally included. The pooled result showed endoscopic approach was significantly associated with shorter operative time (difference in means: −20.021, 95% confidence interval [CI]: −31.431 to −8.611), less need for canalplasty (odds ratio [OR]: 0.065, 95% CI: 0.026‐0.164), more self‐rated excellent cosmetic results (OR: 87.323, 95% CI: 26.750‐285.063), and lower pain VAS (difference in means: −2.513, 95% CI: −4.737 to −0.228). No significant differences in graft success rate or ABG were observed between the two procedures.ConclusionEndoscopic type I tympanoplasty provides a similar graft success rate, improvement in ABG, and reperforation rate to microscopic tympanoplasty with a shorter operative time, better self‐rated cosmetic results, and less pain. Unless contraindicated, the endoscopic approach should be the procedure of choice in type I tympanoplasty.
Release of multiple virus and bruchid resistant Mesoamerican bean germplasm lines PR1303‐129 and PR1743‐44
Authors: Beaver James S. , González Abiezer , Mateo Bernardo , Lutz Graciela Godoy , Miranda Angela , Rosas Juan Carlos , Porch Timothy G. 
Published: December 2023

AbstractPR1303‐129 (Reg. no. GP‐317, PI 702998) and PR1743‐44 (Reg. no. GP‐318, PI 702999) are multiple virus‐ and bruchid‐resistant common bean (Phaseolus vulgaris L.) germplasm lines developed and released cooperatively by the University of Puerto Rico Agricultural Experiment Station, the USDA‐ARS, the Instituto Dominicano de Investigaciones Agropecuarias y Forestales, the Instituto de Ciencia y Tecnología Agrícola, and Zamorano University. The black bean PR1303‐129 and small dark red bean PR1743‐44 combine resistance to Bean common mosaic virus (BCMV), Bean common mosaic necrosis virus (BCMNV), Bean golden yellow mosaic virus (BGYMV) and the common bean weevil [Acanthoscelides obtectus (Say)] with partial resistance to the Mexican bean weevil [Zabrotes subfasciatus (Boheman)]. Marker‐assisted selection was used to identify the presence of the bgm‐1 gene and the SW12 quantitative trait locus (QTL) for BGYMV resistance and the I and bc‐3 genes for resistance to BCMV and BCMNV. The parents of PR1303‐129 and PR1743‐44 were reported to possess the I gene for resistance to BCMV. Greenhouse inoculations were used to confirm the presence of the bc‐3 gene. Lines were screened in the laboratory and field for resistance to bruchids. Mean seed yields of PR1303‐129 and PR1743‐44 in six trials conducted in Puerto Rico were comparable to the check cultivar ‘Verano’. The release of these germplasm lines should contribute to the development of Mesoamerican cultivars for Central America and the Caribbean with enhanced levels of resistance to viral diseases and pests.
Integration of single‐cell proteomic datasets through distinctive proteins in cell clusters
Authors: Koca Mehmet Burak , Sevilgen Fatih Erdoğan 
Published: December 2023

AbstractThe use of mass spectrometry and antibody‐based sequencing technologies at the single‐cell level has led to an increase in single‐cell proteomic datasets. Integrating these datasets is crucial to eliminate the batch effect that often arises due to their limited sequencing molecules. Although methods for horizontally integrating high‐dimensional single‐cell transcriptomic datasets can also be applied to single‐cell proteomic datasets, a specialized approach explicitly tailored for low‐dimensional proteomic datasets may enhance the integration process. Here, we introduce SCPRO‐HI, an algorithm for the horizontal integration of antibody‐based single‐cell proteomic datasets. It utilizes a hierarchical cell anchoring technique to match cells based on the similarity of distinctive proteins for constituting cell clusters. A novel variational auto‐encoder model is employed for correcting batch effects on the protein abundances, eliminating the need for mapping them into a new domain. Moreover, we propose a technique for extending the algorithm to high‐dimensional datasets. The performance of the SCPRO‐HI algorithm is evaluated using simulated and real‐world single‐cell proteomic datasets. The findings demonstrate our algorithm outperforms state‐of‐the‐art methods, achieving a 75% higher silhouette score while preserving HVPs 13% better. Furthermore, the algorithm shows competitive performance in transcriptomic datasets, suggesting potential for integrating high‐dimensional mass‐spectrometry‐based proteomic datasets.
Antimicrobial mechanisms of g‐C3N4@ZnO against oomycetes Phytophthora capsici: from its metabolism, membrane structures and growth
Authors: Cai Lin , Huang Xunliang , Feng Hui , Fan Guangjin , Sun Xianchao 
Published: December 2023

AbstractBACKGROUNDPhytophthora capsici, a refractory and model oomycete plant pathogen, especially threatens multiple vegetable crops. A limited number of chemical pesticides play a vital role in controlling oomycete plant diseases. However, this approach often leads to excessive use of chemical agent, exacerbates environmental issues and more and more drug‐resistant strains of oomycete. Therefore, it is imperative to devise innovative solutions that can effectively address the infection of oomycete while maintaining high levels of environmental sustainability and low toxicity.RESULTSIn this study, g‐C3N4@ZnO heterostructure was synthesized and characterized. The g‐C3N4@ZnO showed higher toxicity on Phytophthora capsici than graphitic carbon nitride (g‐C3N4) nanosheets and zinc oxide (ZnO) nanoparticles in vitro and in vivo. Except the hyphal growth of Phytophthora capsici, their germination rate of spores, sporangium formation and number of spores were all suppressed by g‐C3N4@ZnO heterostructure. Furthermore, we found that this g‐C3N4@ZnO heterostructure has higher photocatalytic activity under visible light, which potentially enhanced the reactive oxygen species (ROS) mediated stress on Phytophthora capsici. Ultrastructural morphology, global changes of gene expression and weighted gene co‐expression network analysis all supported that the anti‐oomycete activity of g‐C3N4@ZnO was manifested in the destruction of membrane system and inhibition of multiple metabolisms of Phytophthora capsici under visible irradiation, which also could be attributed to the ROS and zinc ion (Zn2+) mediated stress.CONCLUSIONThis works offers a novel oomycete disease management strategy by using g‐C3N4@ZnO, which were attributed to the ROS stress, destruction of membrane system and inhibition of multiple metabolisms. © 2023 Society of Chemical Industry.
Stabilization and destabilization of impulsive Markovian switching systems via periodic stochastic controls and impulsive controls
Authors: Liu Xin , Cheng Pei , Cui Yao 
Published: December 2023

AbstractGiven an unstable (or stable) impulsive Markovian switching system (IMSS), can it be stabilized (or destabilized) by noise? This problem has not been studied. In view of this question, this article will establish the noise stabilization and destabilization strategies of IMSS, and also study the impulsive control realized by adjusting the impulse intensity. It is worth noting that the impulse jump is the random impulse whose jump value depends on the mode, and the noise stabilization and destabilization are realized by periodic stochastic control based on Lévy noise. In order to establish these new results, we use the time‐inhomogeneous property of coefficients of the controlled system and the ergodicity of discrete‐time Markov chains based on impulse trigger time. In addition, the periodic stochastic control on diffusion and jump terms can be applied to design intermittent stochastic control.
Adaptive event‐triggered control for strict‐feedback systems With time‐varying parameters
Authors: Tan Yan , Wu Liucang , Liu Wenqi 
Published: December 2023

AbstractIn this article, we develop a new adaptive event‐triggered asymptotic control scheme for strict‐feedback systems with fast time‐varying parameters. To deal with time‐varying parameters with unknown variation boundaries in the feedback path and the input path, we construct three adaptive laws for parameter estimation, two for the uncertain parameters in the feedback path and one for the uncertain parameters in the input path. In particular, two sets of tuning functions are introduced to avoid over‐parametrization. Additionally, an event‐triggering mechanism is embedded in this adaptive control framework to reduce the data transmission from the controller to the actuator. We also introduce a soft sign function to handle the perturbations caused by sampling errors to achieve asymptotic stability and avoid the so‐called parameter drift. The stability analysis shows that the closed‐loop system is globally uniformly asymptotically stable and the Zeno behavior can be excluded. Simulation results verify the effectiveness and performance of the proposed adaptive scheme.
The differential impact of COVID‐19 on the psychological stress of post‐9/11 veterans: Gender, race, and ethnicity
Authors: Aronson Keith R. , Morgan Nicole R. , Rudi Jessie H. , McCarthy Kimberly J. , Perkins Daniel F. 
Published: December 2023

AbstractThe COVID‐19 pandemic has led to economic turndowns, social restrictions, and family life alterations. The stress induced by the public health crisis and its consequences are beginning to be explored. This study examined stress experiences since the pandemic'sonset in work, financial, social, and health domainsamong a large sample of post‐9/11, United States military veterans. The sample, who separated from active‐duty service or deactivated from active status in a reserve component in 2016, completed an online survey (n = 3180) in 2020. Participants were 70% White non‐Hispanic, 81% male, and had an average age of 38 years. Frequencies and descriptive statistics were calculated. Female veterans and veterans of colour reported significantly higher levels of stress across most life domains. The results suggest White, male, post‐9/11 veterans may be somewhat protected from COVID‐19 stress, but that the pandemic is exacerbatinghealth and social disparities experienced by post‐9/11 veterans of colour and female veterans. Supports and comprehensive care, particularly targeted towardsat‐risk populations, are likely needed to provide sufficient resources for resiliency during and after the pandemic.
Cycling Reconstructed Hierarchical Nanoporous High‐Entropy Oxides with Continuously Increasing Capacity for Li Storage
Authors: Ci Naixuan , Hu Yixuan , Li Qingqing , Cheng Jun , Zhang Hongqiang , Li Deping , Li Kaikai , Reddy Kolan Madhav , Ci Lijie , Xie Guoqiang , Liu Xingjun , Qiu Hua‐Jun 
Published: December 2023

AbstractHigh‐entropy oxides (HEOs) have been showing great promise in a wide range of applications. There remains a lack of clarity regarding the influence of nanostructure and composition on their Li storage performance. Herein, a dealloying technique to synthesize hierarchical nanoporous HEOs with tunable compositions is employed. Building upon the extensively studied quinary AlFeNiCrMnOx, an additional element (Co, V, Ti, or Cu) is introduced to create senary HEOs, allowing for investigation of the impact of the added component on Li storage performance. With higher specific surface areas and oxygen vacancy concentrations, all their HEOs exhibit high Li storage performances. Remarkably, the senary HEO with the addition of V (AlNiFeCrMnVOx) achieves an impressive capacity of 730.2 mAh g−1 at 2.0 A g−1, which surpasses all reported performance of HEOs. This result demonstrates the synergistic interaction of the six elements in one HEO nanostructure. Additionally, the battery cycling‐induced reconstruction and cation diffusion in the HEOs is uncovered, which results in an initial capacity decrease followed by a subsequent continuous capacity increase and enhanced Li ion diffusion. The results highlight the crucial roles played by both nanoporous structure design and composition optimization in enhancing Li storage of HEOs.
Porous Calcium‐Silicate‐Hydrate as a Low‐Cost Nano‐Platform for Ultra‐High CO2 Capture and Storage
Authors: Liu Min , Cai Yuxi , Liu Qi , Jin Xue‐Ting , Xue Cheng , Zhang Shu‐Xin , Feng Pan , Luo Yang‐Hui 
Published: December 2023

AbstractCO2 capture and storage have been regarded as promising concepts to reduce anthropogenic CO2 emissions. However, the high cost, inferior adsorption capacity, and higher effective activation temperature of traditional sorbents limit their practical application in efficient CO2 capture. Here, a C‐S‐H@ZIF‐8 (C‐S‐Z) sorbent is fabricated by in situ growth of the ZIF‐8 shell on the C‐S‐H (calcium‐silicate‐hydrate) surface for ultra‐high CO2 adsorption and storage. Among the C‐S‐Z, the outer ZIF‐8 shell acts as a transport channel that promotes CO2 absorption toward the underlying C‐S‐H substrate for accelerated carbonation while preventing nitrogen and water from reaching the interior C‐S‐H. As a consequence, C‐S‐Z possesses the merits of ample pyrrolic nitrogen, porous structure, and ultra‐high surface area (577.18 m2 g−1), that contribute to an ultra‐high CO2 capture capacity, reaching 293.6 mg g−1. DFT calculations show a high CO2 adsorption energy and the mineral carbonation is dominant by the adsorption process. In particular, the advantages of the outstanding adsorption capacity, low cost, and high CO2 selectivity make this C‐S‐H‐based sorbent hold great potential in the practical application for direct air CO2 capture and storage.
A review on the performance of concrete filled tubular columns under axial compression: Emphasis on geometrical parameters and various concrete infills and encasings
Authors: Rohilla Isha , Gupta Surinder 
Published: December 2023

SummaryThis paper summarizes the literature available on the behavior of concrete‐filled steel tubular (CFST) columns to evaluate the effect of geometrical properties such as shape of cross‐section, diameter‐to‐thickness ratio, and length‐to‐diameter ratio of CFST columns under axial loading. Then, the impact of different material composition for core concrete and encasing material is concluded for columns under axial loading. The performance of CFST is evaluated in terms of failure modes, ductility, stiffness, and axial compressive strength. For encasing tube, carbon steel, stainless steel, and aluminum are studied while for core, various concretes such as Normal (NSC) and high strength concrete (HSC), light weight concrete (LWC), recycled aggregate concrete (RAC), expansive concrete (EC), rubber crumb concrete(RuCC), and steel slag concrete (SSC) are covered for review in this paper. Material limitations as provided by various codes for design of composite structures is also mentioned for both tube and core concrete. Failure modes of concrete‐filled tubular(CFT) columns are most affected by geometric properties columns while materials used for concrete and encasing tube do not cause much difference. Though, ductility, axial compressive strength, and stiffness are affected by both geometric and material properties.
A Risk Evaluation Method of Unstable Slopes Using Multipoint Tilting Sensors
Authors: Fukuhara Makoto , Wang Lin , Tao Shangning , Tang Zhijun , Tang Wenjian , Dong Linyao , Fan Zhongjie 
Published: December 2023

AbstractSlope monitoring and early warning systems (EWS) are a promising approach toward mitigating landslide-induced disasters. Many large-scale sediment disasters result in the destruction of infrastructure and loss of human life. The mitigation of vulnerability to slope and landslide hazards will benefit significantly from early warning alerts. The authors have been developing monitoring technology that uses a Micro Electro Mechanical Systems (MEMS) tilt sensor array that detects the precursory movement of vulnerable slopes and informs the issuance of emergency caution and warning alerts. In this regard, the determination of alarm thresholds is very important. Although previous studies have investigated the recording of threshold values by an extensometer which installation at appropriate sites is rather difficult. The authors prefer tilt sensors and have proposed a novel threshold for the tilt angle, which was validated in this study. This threshold has an interesting similarity to the previously reported values using viscous models. Additionally, multi-point monitoring has recently emerged and allows for many sensors to be deployed at vulnerable slopes without disregarding the slope’s precursory local behavior. With this new technology, the detailed spatial and temporal variation of the behavior of vulnerable slopes can be determined as the displacement proceeds toward failure.
Gravitational partial-wave absorption from scattering amplitudes
Authors: Aoude Rafael , Ochirov Alexander 
Published: December 2023

Abstract
We study gravitational absorption effects using effective on-shell scattering amplitudes. We develop an in-in probability-based framework involving plane- and partial-wave coherent states for the incoming wave to describe the interaction of the wave with a black hole or another compact object. We connect this framework to a simplified single-quantum analysis. The basic ingredients are mass-changing three-point amplitudes, which model the leading absorption effects and a spectral-density function of the black hole. As an application, we consider a non-spinning black hole that may start spinning as a consequence of the dynamics. The corresponding amplitudes are found to correspond to covariant spin-weighted spherical harmonics, the properties of which we formulate and make use of. We perform a matching calculation to general-relativity results at the cross-section level and derive the effective absorptive three-point couplings. They are found to behave as $$ \mathcal{O}\left({G}_{\textrm{Newton}}^{s+1}\right) $$
O

G
Newton

s
+
1

, where s is the spin of the outgoing massive state.
Factorial growth at low orders in perturbative QCD: control over truncation uncertainties
Authors: Kronfeld Andreas S. 
Published: December 2023

Abstract
A method, known as “minimal renormalon subtraction” [Phys. Rev. D97 (2018) 034503, JHEP08 (2017) 62], relates the factorial growth of a perturbative series (in QCD) to the power p of a power correction Λp/Qp. (Λ is the QCD scale, Q some hard scale.) Here, the derivation is simplified and generalized to any p, more than one such correction, and cases with anomalous dimensions. Strikingly, the well-known factorial growth is seen to emerge already at low or medium orders, as a consequence of constraints on the Q dependence from the renormalization group. The effectiveness of the method is studied with the gluonic energy between a static quark and static antiquark (the “static energy”). Truncation uncertainties are found to be under control after next-to-leading order, despite the small exponent of the power correction (p = 1) and associated rapid growth seen in the first four coefficients of the perturbative series.