bluuebunny/crossref_metadata_2025_split huggingface dataset:
Image‐Guided Surgical Device Failures in Functional Endoscopic Sinus Surgery: A MAUDE Analysis
Authors: Hassanin Samir W. , Kshirsagar Rijul S. , Eide Jacob G. , Chang Jeremy , Liang Jonathan , Palmer James N. , Adappa Nithin D. 
Published: July 2022

ObjectiveImage‐guided surgery (IGS) devices have become widely used for anatomic localization during functional endoscopic sinus surgery (FESS). However, there are no studies that analyze the post‐market complications associated with IGS device use during FESS. The objective of this study was to better characterize post‐market complications associated with the use of IGS devices during sinus surgery.MethodsThe US Food and Drug Administration's Manufacturer and User Facility Device Experience database was queried for event reports associated with neurological stereotaxic devices utilized in IGS between the dates of January 1, 2016 and December 31, 2020. Medical device reports that were analyzed for this study pertained strictly to FESS.ResultsThere were 1873 reports involving IGS devices for FESS included in this study. Fifty‐five reports involved adverse events to patients (2.9%) and 1818 (97.1%) involved device malfunctions. Of the adverse events to patients, the most common included cerebrospinal fluid leakage (45.6%), tissue damage (12.7%), and nervous system injury (3.6%). The most commonly reported device malfunction was imprecision (21.1%).ConclusionIGS devices are widely utilized in FESS. Of the medical device reports between 2016 and 2020, less than 3% resulted in adverse events. Further studies of the infrequent post‐market complications of IGS devices used in FESS can help guide surgeons on the risks of their clinical use.Level of Evidence4—Retrospective database survey without controls Laryngoscope, 133:1310–1314, 2023
Water depth and transparency drive the quantity and quality of organic matter in sediments of Alpine Lakes on the Tibetan Plateau
Authors: Du YingXun , Luo ChunYan , Chen FeiZhou , Zhang QiaoYing , Zhou YongQiang , Jang Kyoung‐Soon , Zhang YiBo , Song ChunQiao , Zhang YongDong , Zhang YunLin , Lu YueHan 
Published: July 2022

AbstractIdentifying primary environmental drivers mediating the quantity and quality of sedimentary organic matter (OM) in climate‐sensitive alpine lakes is crucial to understanding the role of alpine lakes in greenhouse gas emissions and Earth's climate system. Here, we characterized various pools of OM of 20 alpine lakes across the Tibetan Plateau, including bulk OM, water‐soluble OM and alkaline‐extracted OM from surface sediments, and dissolved OM (DOM) from surface water. The total organic carbon (TOC) content in sediments was low (< 3%), and δ13C of TOC and C : N ratios indicated limited allochthonous carbon inputs. Sedimentary water‐soluble OM and alkaline‐extracted OM were both dominated by low‐molecular‐weight, low‐aromaticity compounds with low contributions of terrestrial humic substances, suggesting that sedimentary leachable OM was primarily regulated by in‐lake sources and processes. Redundancy analysis showed that water depth, water transparency, and total phosphorus concentration in water column explained ~ 50% variance of sedimentary bulk and leachable OM, substantiating the importance of autochthonous sources and primary productivity in regulating the quantity and quality of sedimentary OM. Compared with lake surface water DOM, water‐soluble OM and alkaline‐extracted OM from sediments had higher proportions of terrestrial humic‐like substances, suggesting preferential preservation of allochthonous materials in sediments. Our results are the first to demonstrate a clear link between physical attributes and sedimentary OM in Tibetan lakes. The associated relations predict that the amount of total OM and autochthonous carbon preserved in sediments would increase due to the lake enlargement under the scenarios of climate warming and precipitation enhancement, which may amplify greenhouse gas emissions from Tibetan lakes.
Deep learning‐based synthetization of real‐time in‐treatment 4D images using surface motion and pretreatment images: A proof‐of‐concept study
Authors: Huang Yuliang , Dong Zhengkun , Wu Hao , Li Chenguang , Liu Hongjia , Zhang Yibao 
Published: July 2022

AbstractPurposeTo develop a deep learning model that maps body surface motion to internal anatomy deformation, which is potentially applicable to dose‐free real‐time 4D virtual image‐guided radiotherapy based on skin surface data.MethodsBody contours were segmented out of 4DCT images. Deformable image registration algorithm was used to register the end‐of‐exhalation (EOE) phase to other phases. Deformation vector field was dimension‐reduced to the first two principal components (PCs). A deep learning model was trained to predict the two PC scores of each phase from surface displacement. The instant deformation field can then be reconstructed, warping EOE image to obtain real‐time CT image. This approach was validated on 4D XCAT phantom, the public DIR‐Lab, and 4D‐Lung dataset respectively, with and without simulated noise.ResultsValidation accuracy of the tumor centroid trajectory was observed as 0.04 ± 0.02 mm on XCAT phantom. For the DIR‐Lab dataset, 300 landmarks were annotated on the end‐of‐inhalation (EOI) images of each patient, and the mean displacements between their predicted and reference positions were below 2 mm for all studied cases. For the 4D‐Lung dataset, the average dice coefficients ± std between predicted and reference tumor contours at EOI phase were 0.835 ± 0.092 for all studied cases.ConclusionsA deep learning‐based approach was proposed and validated to predict internal anatomy deformation from the surface motion, which is potentially applicable to on‐line target navigation for accurate radiotherapy based on real‐time 4D skin surface data and pretreatment images.
A pathway towards a two‐dimensional, bore‐mounted, volume body coil concept for ultra high‐field magnetic resonance imaging
Authors: Gokyar Sayim , Voss Henning U. , Taracila Victor , Robb Fraser J. L. , Bernico Michael , Kelley Douglas , Ballon Douglas J. , Winkler Simone Angela 
Published: July 2022

Lack of a body‐sized, bore‐mounted, radiofrequency (RF) body coil for ultrahigh field (UHF) magnetic resonance imaging (MRI) is one of the major drawbacks of UHF, hampering the clinical potential of the technology. Transmit field (B1) nonuniformity and low specific absorption rate (SAR) efficiencies in UHF MRI are two challenges to be overcome. To address these problems, and ultimately provide a pathway for the full clinical potential of the modality, we have designed and simulated two‐dimensional cylindrical high‐pass ladder (2D c‐HPL) architectures for clinical bore‐size dimensions, and demonstrated a simplified proof of concept with a head‐sized prototype at 7 T. A new dispersion relation has been derived and electromagnetic simulations were used to verify coil modes. The coefficient of variation (CV) for brain, cerebellum, heart, and prostate tissues after B1+ shimming in silico is reported and compared with previous works. Three prototypes were designed in simulation: a head‐sized, body‐sized, and long body‐sized coil. The head‐sized coil showed a CV of 12.3%, a B1+ efficiency of 1.33 μT/√W, and a SAR efficiency of 2.14 μT/√(W/kg) for brain simulations. The body‐sized 2D c‐HPL coil was compared with same‐sized transverse electromagnetic (TEM) and birdcage coils in silico with a four‐port circularly polarized mode excitation. Improved B1+ uniformity (26.9%) and SAR efficiency (16% and 50% better than birdcage and TEM coils, respectively) in spherical phantoms was observed. We achieved a CV of 12.3%, 4.9%, 16.7%, and 2.8% for the brain, cerebellum, heart, and prostate, respectively. Preliminary imaging results for the head‐sized coil show good agreement between simulation and experiment. Extending the 1D birdcage coil concept to 2D c‐HPLs provides improved B1+ uniformity and SAR efficiency.
Parametric model order reduction for acoustic boundary element method systems through a multiparameter Krylov subspaces recycling strategy
Authors: Panagiotopoulos Dionysios , Desmet Wim , Deckers Elke 
Published: July 2022

AbstractThe recently introduced framework enabling model order reduction (MOR) for systems arising within the acoustic boundary element method (BEM), allows for fast frequency sweeps to obtain the detailed response of an acoustic system. Nevertheless, in many cases it is desirable to include additional parameters in the MOR scheme to facilitate iterations among different configurations of a specific design. In that context, this work proposes a multiparameter Krylov subspaces recycling scheme, based on the algorithms proposed in Reference 23 for a single parameter, aiming at the parametric MOR of acoustic BEM systems. The proposed scheme allows to include multiple parameters along with the non‐affine wavenumber kernel dependency and thus facilitates the fast solution of parametric acoustic systems. The article distinguishes among three different parametrizations of BEM systems: (i) a right‐hand side parametrization, (ii) an affine, and (iii) a non‐affine parametrization of the system matrix. The two former cases allow for the construction of a cheap residual error estimator and thus facilitate the deployment of a greedy sampling strategy. This work proposes the employment of such a greedy strategy in the context of Krylov subspaces recycling, which combined with the automatic Krylov subspaces recycling (AKR) algorithm, enables the construction of a global reduction basis incorporating such parametric variations. On the contrary, since in case of non‐affine parametrizations a cheap residual error estimator is not directly available, a multiparameter AKR algorithm is deployed to ensure the predefined residual level. The performance of the proposed methods is benchmarked against a reduced basis method‐type approach, which follows the same assumptions as the AKR for the case of non‐affine systems. The potential of the algorithms is demonstrated on academic BEM examples including source position, material, and shape parametrizations and significant reductions in the sampling required for the construction of the respective reduction bases are reported.
Performance evaluation ofGRNNandANFIScontrolledDVRusing machine learning in distribution network
Authors: Kumar Prashant , Arya Sabha Raj , Mistry Khyati D. , Babu B. Chitti 
Published: July 2022

AbstractA machine learning based generalized neural network estimator (GRNNE) and Takagi‐Sugeno (T‐S) fuzzy control system is implemented to accelerate the functional performance indices of dynamic voltage restorer (DVR). The GRNNE predictive model is recommended for the fast estimation of the reference load voltage under the distorted power supply. The fruit fly optimization learning strategy is employed to optimize the weights and smoothing parameters for the extraction of the reference voltage signals as well as unit vectors, resulting in the required sinusoidal load component. The dynamics in the DC‐link voltage are optimized by the metaheuristic‐based gray wolf optimization algorithm. The coefficients of the adaptive controller are updated automatically to achieve the best fitted adaptive neuro‐fuzzy inference system predictive model with the least tracking voltage deviation error even in the presence of voltage disturbances. In comparison to classical techniques, the recommended neural‐based approach offers a faster convergence speed with fewer parameters to tune, shorter training time, and lower risks of local entrapment. The performance metrics such as mean square error, root mean square error, mean absolute error, mean absolute percent error, coefficients of correlational and determination (RandR2) are used to evaluate the efficacy of the proposed controller and hence enhance the DVR performance. Finally, the simulation results of the hybrid approach confirm that the NN‐based DVR estimator has proven its ability to alleviate voltage sensible issues at critical loads and outperform others in reducing power quality issues.
A review on polymeric insulation for high‐voltage application under various stress conditions
Authors: Angalane Sendil Kumar , Kasinathan Elanseralathan 
Published: July 2022

AbstractPolymeric material draws a great attraction in the development of insulation for High Votage Direct Current (HVDC) applications. Insulation material is the deciding key factor to increase the operating voltage and to transmit the bulk power with minimized power loss. Premature breakdown, high withstanding temperature, and impacts of space charge accumulation are all issues faced by the insulation material. Material qualities such as dielectric, electrical, structural, and mechanical properties are directly affected by the issues. Therefore, this paper provides an overview of the dielectric properties of polymeric materials and their composites under various stress conditions. The stress includes AC, DC, superimpose and combined (AC and DC) stress under which the dielectric constant, dielectric losses, electrical strength, and space charge distribution of polymeric insulating materials such as low‐density polyethylene, high‐density polyethylene, cross‐linked polyethylene, polypropylene, and random copolymer (RCP), as well as their composites, are explored. Polypropylene and RCP outperform all other polymers in terms of breakdown strength and space charge suppression under various stress conditions. RCP is a developing material that also has the potential to be an effective thermoplastic insulation material in the future.
The impact of hegemonic masculine ideals on self‐esteem in prostate cancer patients undergoing androgen deprivation therapy (ADT) compared to ADT‐naïve patients
Authors: Gentili Caterina , McClean Stuart , McGeagh Lucy , Bahl Amit , Persad Raj , Harcourt Diana 
Published: July 2022

AbstractPurposeAndrogen deprivation therapy (ADT) for Prostate Cancer (PCa) is associated with side effects that could lead to negative body image and low masculine self‐esteem of survivors. We compared a group of PCa survivors following ADT with ADT‐naïve patients, expecting the ADT group to show lower masculine self‐esteem. We also expected patients with hegemonic masculinity ideals to show poorer masculine self‐esteem and we hypothesized that ADT would moderate this relationship, expecting PCa patients on ADT with stronger hegemonic ideals to show the worst masculine self‐esteem scores among study participants.MethodsWe compared 57 PCa survivors on ADT (Mage = 64.16 (7.11)) to 59 ADT‐naïve patients (Mage = 65.25 (5.50)), on the Masculine Self‐Esteem Scale (MSES), Body Image Scale (BIS), and Hegemonic Masculinity Ideals Scale (HMIS).ResultsWhile the two groups did not significantly differ on masculine self‐esteem (F [1, 115] = 3.46, p = 0.065, ηp2 = 0.029) and body image (F [1, 115] = 3.46, p = 0.065, ηp2 = 0.029), younger age was significantly associated with higher body image issues (F [1, 115] = 8.63, p < 0.01, ηp2 = 0.071, β = −0.30). Hegemonic masculinity significantly predicted more masculine self‐esteem related issues (t (2, 114) = 2.31, β = 0.375, p < 0.05). ADT did not moderate this relationship.ConclusionsThe results suggest that endorsing hegemonic masculinity could represent a risk factor for low masculine self‐esteem regardless of ADT status and that younger age is associated with negative body image among PCa survivors.ImplicationsThese results suggest the importance of inclusion of topics related to hegemonic masculinity when providing support to PCa survivors, both when discussing treatment side effects, as well as in the later phases of survivorship. This pilot also suggests that younger PCa survivors might benefit from body‐image focused support regardless of treatment plan.
Continuous positive airway pressure care for pediatric obstructive sleep apnea: A long‐term quality improvement initiative
Authors: Xanthopoulos Melissa S. , Williamson Ariel A. , Burlingame Caroline C. , Afolabi‐Brown Olufunke , Tapia Ignacio E. , Cielo Christopher , Moore Melisa , Beck Suzanne E. 
Published: July 2022

AbstractSuccessful treatment of pediatric obstructive sleep apnea syndrome (OSAS) with continuous positive airway pressure (CPAP) is challenging due to behavioral, technical, medical, and systems factors. We undertook a quality improvement (QI) initiative involving physicians, nurses, psychologists, and respiratory therapists to improve CPAP outpatient care and processes. We aimed to: (1) increase the proportion of patients with a follow‐up visit within 4 months of initiation of CPAP, (2) reduce the median time to first follow‐up visit to under 4 months, and (3) increase the proportion of patients obtaining a post‐initiation polysomnogram within 1 year to >50%. We also explored healthcare utilization (HCU) in a subsample of patients. Interventions focused on developing a tracking system and standardizing interdisciplinary clinical care. The proportion of patients returning to clinic within 4 months improved from 38.2% to 65.5% and median time to first follow‐up visit improved from 133 to 56 days. The percentage of patients who returned for a post‐initiation polysomnogram within 1 year was 71.1%. Subsample analyses showed significant reductions in the length of stay for emergency department visits from pre‐CPAP initiation (Mdn = 3.00 h; interquartile range [IQR] = 7.00) to post‐initiation (Mdn = 2.00 h, IQR = 5.00). The length of hospitalizations was also significantly shorter from pre (Mdn = 48.00 h, IQR = 243.00) to post‐CPAP initiation (Mdn = 0.00 h, IQR = 73.00). A standardized, tracked approach to interdisciplinary outpatient CPAP care can improve follow‐up care and potentially HCU.
Front Cover Image, Volume 78, Issue 8
Authors: Zhou Qian , Li Linwei , Liu Fei , Hu Jun , Cao Yan , Qiao Siwei , Zhou Yuxin , Wang Bi , Jia Yihe , Chen Yu , Xu Shu , Feng Xu 
Published: July 2022

The front cover image is based on the Research Article Mining and characterization of oxidative stress‐related binding proteins of parthenolide in Xanthomonas oryzae pv. oryzae by Qian Zhou et al., https://doi.org/10.1002/ps.6961.image
Resveratrol supplementation efficiently improves endothelial health: A systematic review and meta‐analysis of randomized controlled trials
Authors: Mohammadipoor Nazanin , Shafiee Fatemeh , Rostami Amirabbas , Kahrizi Mohammad Saeed , Soleimanpour Hamidreza , ghodsi Majid , Ansari Mohammad Javed , Bokov Dmitry Olegovich , Jannat Behrooz , Mosharkesh Erfan , Pour Abbasi Mohammad Sadegh 
Published: July 2022

AbstractWe perform a systematic review and meta‐analysis of randomized controlled trials (RCTs) to quantify the effect of resveratrol supplementation on endothelial function. A comprehensive search was performed in electronic databases including PubMed, Scopus, Web of Science, and Cochrane Library up to February 2021 with no limitation in time and language. A meta‐analysis of eligible studies was performed using a random‐effects model to estimate the pooled effect size of flow‐mediated dilation (FMD), intracellular adhesion molecule‐1 (ICAM‐1), vascular adhesion molecule‐1 (VCAM‐1), fibrinogen, and plasminogen activator inhibitor‐1 (PAI‐1). In total, 21 arms from 17 studies were included. The meta‐analysis results showed that resveratrol significantly change the concentrations of FMD (WMD: 1.43%; 95% CI: 0.98 to 1.88, p < .001) and ICAM‐1 (WMD: −7.09 ng/ml, 95% CI: −7.45 to −6.73, p < .001). However, VCAM‐1, fibrinogen, and PAI‐1 did not change significantly after resveratrol supplementation. In conclusion, the results of this study suggest that resveratrol supplementation can improve endothelial function which could be important, especially in patients with cardiovascular diseases.
Tracking control for the nonlinear complex dynamical network assisted with outgoing links dynamics
Authors: Gao Peitao , Wang Yinhe , Peng Yi , Zhang LiLi , Huang Yuanyuan 
Published: July 2022

AbstractAlong with the numerous highly interconnected nodes in real networks, a complex dynamical network shows the dynamic behaviors not only in the nodes but also in the links between nodes. This implies that the complex dynamical network can be considered to be composed of the two interconnected subsystems, the nodes subsystem (NS) and links subsystem (LS), and thus it has become evident that the dynamics of LS plays an important role in assisting NS to emerge the dynamic behavior. However, all the dynamic links are rarely considered to be the dynamic system as a whole in the existing literature. In this article, the outgoing links vector is introduced to describe the state of LS and the dynamics of LS is proposed and utilized to investigate the tracking task of NS. Here, the bounded uncertainties are considered in the dynamic model of NS and the nonlinearities are considered in the dynamic model of LS, which is rarely considered in the existing literature, by which the adaptive controller is synthesized to overcome the uncertainties and complete the tracking task of NS assisted with the constructed coupling term in LS. The results in this article show that when the controlled NS is tracking the given target, the LS is tracking the proposed auxiliary target. Finally, the effectiveness of the proposed theoretic results is verified via the example.
EAPIOD: ECC based authentication protocol for insider attack protection in IoD scenario
Authors: Rajamanickam Siranjeevi , Vollala Satyanarayana , Ramasubramanian Natarajan 
Published: July 2022

AbstractDrastic improvement in the progress of the Internet of Things environment increased the users' access to various information online. The upcoming Internet of Drones (IoD) has increased the reliability of the information that the users require in the different scenarios as it has several merits like low power consumption and navigation properties. At the same time, it becomes vital to protect the IoD from several severe security attacks specifically insider attacks which are devastating in their effects when compared to other security attacks. Numerous protocols proposed in recent times claim to protect IoD from all known security attacks but unfortunately, fail to prevent a few attacks especially, insider attacks. This article proposes “EAPIOD: ECC based authentication protocol for insider attack protection in IoD scenario” that protects IoD from several known attacks, especially insider attacks. EAPIOD is proved to be immune to security attacks. Security analysis in both ways formally by scyther tool and informally by cryptanalyzing EAPIOD. The evaluation of EAPIOD for its communication and computation cost exhibits that its performance is probably higher than several existing schemes on account of providing enhanced security.