bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accuracy of hemodynamic parameters derived by GE E-PiCCO in comparison with PiCCO® in patients admitted to the intensive care unit
Authors: Putko Katarzyna , Erber Johanna , Wagner Franziska , Busch Daniel , Schuster Hannah , Schmid Roland M. , Lahmer Tobias , Rasch Sebastian 
Published: April 2023

AbstractTo evaluate the agreement and accuracy of a novel advanced hemodynamic monitoring (AHM) device, the GE E-PiCCO module, with the well-established PiCCO® device in intensive care patients using pulse contour analysis (PCA) and transpulmonary thermodilution (TPTD). A total of 108 measurements were performed in 15 patients with AHM. Each of the 27 measurement sequences (one to four per patient) consisted of a femoral and a jugular indicator injection via central venous catheters (CVC) and measurement using both PiCCO (PiCCO® Jug and Fem) and GE E-PiCCO (GE E-PiCCO Jug and Fem) devices. For statistical analysis, Bland–Altman plots were used to compare the estimated values derived from both devices. The cardiac index measured via PCA (CIpc) and TPTD (CItd) was the only parameter that fulfilled all a priori-defined criteria based on bias and the limits of agreement (LoA) by the Bland–Altman method as well as the percentage error by Critchley and Critchley for all three comparison pairs (GE E-PiCCO Jug vs. PiCCO® Jug, GE E-PiCCO Fem vs. PiCCO® Fem, and GE E-PiCCO Fem vs. GE E-PiCCO Jug), while the GE E-PiCCO did not accurately estimate EVLWI, SVRI, SVV, and PPV values measured via the jugular and femoral CVC compared with values assessed by PiCCO®. Consequently, measurement discrepancy should be considered on evaluation and interpretation of the hemodynamic status of patients admitted to the ICU when using the GE E-PiCCO module instead of the PiCCO® device.
Single-iron, cobalt, nickel, and copper-atom catalysts for the selective reduction of oxygen to H2O2
Authors: Ye Cuizhu , Zhou Yongfang , Li Hongying , Shen Yi 
Published: April 2023

A series of single metal atom catalysts anchored into N-doped carbon nanosheets are evaluated for H2O2 electrosynthesisviaoxygen reduction. The Cu/NCNSs exhibits the best catalytic performance in alkaline media with nearly 100% H2O2 selectivity.
Pilot Cap Acoustic Transparency for Pediatric Amplification Devices
Authors: Scherer Kimberly , Christianson Erin , Wang Xing , White Ruthie , Dunnell Janet 
Published: April 2023

Purpose:
Consistent hearing device use in young children with hearing loss is challenging for families. A hearing aid accessory, called a pilot cap, is often recommended to families to help mitigate the issues around device retention. Although pilot caps are commonly suggested to families, there is sparse data available about how acoustically transparent they are when used with a hearing aid. The purpose of this study was to measure the acoustic transparency when a hearing aid functions under a pilot cap accessory.

Method:
The Verifit 2 Hearing Aid Analyzer and the Speech Intelligibility Index (SII) were used to measure acoustic transparency related to access of aided speech. Measurements involved four hearing aids that are commonly fit on pediatric patients and four different commercially available pilot caps. SII data were collected at two intensity levels for four simulated sensorineural hearing losses (SNHLs). Response differences between acoustic measurements with a hearing aid plus a pilot cap compared with the hearing aid alone (control) were collected.

Results:
A total of 80 SII measurements were made. There were 16 SII measurements of the hearing aid alone (control conditions) and 64 SII measurements with combinations of the hearing aids and pilot caps selected for this study. For each hearing aid, there was no significant difference between the SII measurements collected for the hearing aid alone and the hearing aid plus a pilot cap. Additionally, there was no significant difference between the different pilot caps used with each hearing aid tested.

Conclusions:
Pilot cap use with the four types of hearing aids in this study results in no significant differences in acoustic transparency compared with the control condition. The data in this study support the use of the pilot caps for hearing device retention in children with hearing loss.

Supplemental Material:

https://doi.org/10.23641/asha.22647217
Speech Motor Profiles in Primary Progressive Aphasia
Authors: Staiger Anja , Schroeter Matthias L. , Ziegler Wolfram , Pino Danièle , Regenbrecht Frank , Schölderle Theresa , Rieger Theresa , Riedl Lina , Müller-Sarnowski Felix , Diehl-Schmid Janine 
Published: April 2023

Purpose:
Previous research on motor speech disorders (MSDs) in primary progressive aphasia (PPA) has largely focused on patients with the nonfluent/agrammatic variant of PPA (nfvPPA), with few systematic descriptions of MSDs in variants other than nfvPPA. There has also been an emphasis on studying apraxia of speech, whereas less is known about dysarthria or other forms of MSDs. This study aimed to examine the qualitative and quantitative characteristics of MSDs in a prospective sample of individuals with PPA independent of subtype.

Method:
We included 38 participants with a root diagnosis of PPA according to current consensus criteria, including one case with primary progressive apraxia of speech. Speech tasks comprised various speech modalities and levels of complexity. Expert raters used a novel protocol for auditory speech analyses covering all major dimensions of speech.

Results:
Of the participants, 47.4% presented with some form of MSD. Individual speech motor profiles varied widely with respect to the different speech dimensions. Besides apraxia of speech, we observed different dysarthria syndromes, special forms of MSDs (e.g., neurogenic stuttering), and mixed forms. Degrees of severity ranged from mild to severe. We also observed MSDs in patients whose speech and language profiles were incompatible with nfvPPA.

Conclusions:
The results confirm that MSDs are common in PPA and can manifest in different syndromes. The findings emphasize that future studies of MSDs in PPA should be extended to all clinical variants and should take into account the qualitative characteristics of motor speech dysfunction across speech dimensions.

Supplemental Material:

https://doi.org/10.23641/asha.22555534
Focusing Our Attention on Socially Responsive Professional Education to Serve Ethnogeriatric Populations With Neurogenic Communication Disorders in the United States
Authors: Centeno José G. , Obler Loraine K. , Collins Linda , Wallace Gloriajean , Fleming Valarie B. , Guendouzi Jacqueline 
Published: April 2023

Purpose:
This viewpoint discusses a plausible framework to educate future speech-language pathologists (SLPs) as socially responsive practitioners who serve and advocate for the burgeoning vulnerable ethnogeriatric populations with neurogenic communication disorders.

Method:
We provide an overview of the demographic, epidemiological, and biopsychosocial context that supports the implementation of equity-based, population-grounded educational approaches for speech-language pathology services in ethnogeriatric neurorehabilitation caseloads and discuss a plausible perspective based on the educational social determinants of health (SDOH) framework by the National Academies of Sciences, Engineering, and Medicine.

Results:
The NASEM's three-domain SDOH educational perspective integrates education, community, and organization to create a self-reinforcing pedagogical coproduction that, grounded in the synergized partnerships of educational institutions, engaged communities, and organizational leadership, aims to address systemic drivers of health perpetuating ethnoracial disparities in health, care, and outcomes.

Conclusion:
Exponentially growing vulnerable ethnogeriatric populations with age-related neurogenic communication disorders warrant the implementation of health equity education strategies to train technically prepared, socially conscious SLPs as service providers and advocates.
MFF: An effective method of solving the ill regions in stereo matching
Authors: Qian Ren , Feng Renyan , Xie Wangduo , Yang Wenbang , Zhao Yong 
Published: April 2023

AbstractIn the current stereo matching field, the accuracy of the derived disparity map is highly dependent on the processing capability of ill regions. Fortunately, we find that the use of local information will eliminate the negative effects associated with ill regions. As a result of the above discovery, we propose the Concatenated Dilated Convolution (CDC) block and the Multi‐scale Feature Fusion module (MFF), which are capable of effectively extracting regional context by increasing the receptive field in parallel and channel‐wise ways. The CDC block can expand the receptive field by applying multiple dilated convolutions at different dilation rates in parallel to enhance the smoothness of the feature map. By constructing parallel CDC blocks in a multiple dilated manner, the MFF module can improve the smoothness of the feature map. In addition, to control the number of parameters in the MFF network, a high‐performance channel‐distribution algorithm is proposed, capable of adjusting the weights of each module and convolution in an adaptive manner while reducing the number of parameters. Extensive experiments have demonstrated that MFF and CDC can effectively improve the performance of ill areas and networks with a minimal number of parameters.
A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot
Authors: Naseer Fawad , Khan Muhammad Nasir , Rasool Akhtar , Ayub Nafees 
Published: April 2023

AbstractRobots with telepresence capabilities are typically employed for tasks where human presence is not feasible due to geography, safety risks like fire or radiation exposure, or other factors like any epidemic disease. Time delay is a significant consideration in controlling a telepresence robot. This study proposes a deep learning‐based approach to compensate for the delay by predicting the behaviour of the teleoperator. The authors integrate a recurrent neural network (RNN) based on the Long Short‐Term Memory (LSTM) architecture with the reinforcement learning‐based Deep Deterministic Policy Gradient (DDPG) algorithm. The proposed method predicts the teleoperator's angular and linear controlling commands by using data gathered by embedded sensors on the specially designed and built telepresence robot. Simulations and experiments assess the operation of the proposed technique in Gazebo simulation and MATLAB with robot operating system (ROS) integration, which shows 2.3% better response in the presence of static.
An interleaved high step‐down coupled inductor based quadratic DC‐DC converter
Authors: Pashaie Reza , Sabahi Mehran , Babaei Ebrahim 
Published: April 2023

AbstractA high step‐down direct current‐direct current (DC‐DC) buck converter with a coupled‐inductor in its topology is presented in this study. The switching pattern of the proposed converter is interleaved; therefore, the voltage stress on the semiconductors and the components is low since the primary high voltage will be divided between the blocking capacitors on the primary side. Thus, the voltage stress on semiconductor elements will be low. As a result, the preselected elements can be chosen with low voltage ratings. In addition, there are cells with coupled inductors utilized in the structure that helps the converter to provide improved voltage gain in its output terminal. Typically, narrow duty cycles are needed to achieve high gain in conventional buck converters, but the proposed converter has obtained a high conversion ratio even with wider duty ratios. Besides, the proposed converter has a constant equation for the voltage gain for the whole range of duty cycles. Theoretical analysis and comparison with other recent converters of similar types have been conducted to demonstrate the proposed converter performance. Furthermore, to verify the theoretical analysis, a 600 W prototype of the proposed converter with 820 V/30 V is implemented, and experimental results are presented.
Gaussian processes for radial velocity modeling
Authors: Stock Stephan , Kemmer Jonas , Kossakowski Diana , Sabotta Silvia , Reffert Sabine , Quirrenbach Andreas 
Published: April 2023

Context. Instrumental radial velocity (RV) precision has reached a level where the detection of planetary signals is limited by the ability to understand and simultaneously model stellar astrophysical “noise.” A common method for mitigating the effects of stellar activity is Gaussian process (GP) regression.
Aims. In this study we present an analysis of the performance and properties of the quasi-periodic (QP) GP kernel, which is the multiplication of the squared-exponential kernel by the exponential-sine-squared kernel, based on an extensive set of synthetic RVs, into which the signature of activity was injected.
Methods. The stellar activity within our synthetic data sets was simulated using astrophysically motivated models with different spot distributions and spot lifetimes rotating on the surface of a modeled late-type star. We used dynamic nested sampling to fit different model sets, including QP–GPs, Keplerian models, white noise models, and combinations of these, to synthetic RV time series data that in some cases included additional injected planetary signals.
Results. We find that while the QP–GP rotation parameter matches the simulated rotation period of the star, the length scale cannot be directly connected to the spot lifetimes on the stellar surface. Regarding the setup of the priors for the QP–GP, we find that it can be advantageous to constrain the QP–GP hyperparameters in different ways depending on the application and the goal of the analysis. We find that a constraint on the length scale of the QP–GP can lead to a significant improvement in identifying the correct rotation period of the star, while a constraint on the rotation hyperparameter tends to lead to improved planet detection efficiency and more accurately derived planet parameters. Even though for most of the simulations the Bayesian evidence performed as expected, we identified not far-fetched cases where a blind adoption of this metric would lead to wrong conclusions.
Conclusions. We conclude that modeling stellar astrophysical noise by using a QP–GP considerably improves detection efficiencies and leads to precise planet parameters. Nevertheless, there are also cases in which the QP–GP does not perform optimally, for example RV variations dynamically evolving on short timescales or a mixture of a very stable activity component and random variations. Knowledge of these limitations is essential for drawing correct conclusions from observational data.
Präoperatives Ernährungsmanagement in der großen Tumorchirurgie des Bauchraumes an deutschen Kliniken. Eine explorative Strukturanalyse
Authors: Wendt Saskia , Meißner Carl 
Published: April 2023

ZusammenfassungBis zu 80 % der PatientInnen vor Tumorresektionen des oberen Gastrointestinaltrakts sind mangelernährt. Dabei hat schon der präoperative Ernährungszustand einen signifikanten Einfluss auf den perioperativen Verlauf. Ein adäquater präoperativer Ernährungszustand, der unter anderem die Komplikationsrate und die Krankenhausliegedauer reduzieren kann, ist daher erstrebenswert. Zwar empfehlen einschlägige Leitlinien Maßnahmen zur Erkennung und Behandlung einer Mangelernährung, jedoch fehlt es bislang an Vorschlägen zur Planung eines strukturieren präoperativen Ernährungsmanagements auf die BehandlerInnen zurückgreifen können. Innerhalb dieser Arbeit wurden 40 Krankenhäuser in Deutschland deshalb zu individuell vorhandenen Strukturen und Maßnahmen zum präoperativen Ernährungsmanagement von PatientInnen vor Tumorresektionen des oberen Gastrointestinaltrakts befragt. Die Befragungen zeigen, dass Maßnahmen zur Erkennung und Therapie einer präoperativen Mangelernährung mehrheitlich bekannt und akzeptiert sind. So befürworten 35 der 40 TeilnehmerInnen eine präoperative Ernährungstherapie bei mangelernährten PatientInnen, 26 TeilnehmerInnen erwägen hierfür sogar einen Aufschub der Operation. Eine flächendeckende Umsetzung an den Kliniken scheitere jedoch häufig an Hinderungsgründen, wie fehlender Sichtbarkeit der Ernährung als Therapiebaustein unter BehandlerInnen, labilen Verantwortlichkeiten sowie unzureichenden finanziellen und personellen Ressourcen. Mögliche Lösungsvorschläge zum Abbau der Hindernisse reichen von Refinanzierungsmöglichkeiten der klinischen Ernährungstherapie bis hin zu Forderungen auf gesundheitspolitischer Ebene. Aus den Erkenntnissen aktueller Studien und Leitlinien, sowie den Ergebnissen der Befragung, unterbreitet diese Arbeit einen Vorschlag zur Implementierung eines präoperativen Ernährungsmanagements. Dessen Umsetzbarkeit im klinischen Alltag sollte dabei durch wissenschaftliche Verfahren begleitet werden.
A Comparison of Changes in the Mean Arterial Blood Pressure and Mean Uterine Artery Pulsatility Index from 11–14 to 19–24 + 6 Gestation Weeks in Low-Risk and High-Risk Asian Indian Pregnant Women
Authors: Baghel Akanksha , Patekar Tejashree Y. , Choorakuttil Rijo M. , Sharma Lalit K. , Satarkar Shilpa R. , Gupta Anjali , Aneja Kavita , Dhankhar Sandhya , Chhajer Gulab , Dwivedi Somya , Jain Mansi , Shentar Srinivas , Nirmalan Praveen K. 
Published: April 2023

AbstractAim The aim of this study was to determine the changes in the mean arterial blood pressure (MAP) and mean uterine artery (UtA) pulsatility index (PI) from 11-14 to 19-24 + 6 gestation weeks in Asian Indian pregnant women.Methods Clinical and demographic details, MAP, and mean UtA PI measures were ascertained for pregnant women at 11 to 14 gestation weeks and 19–24 + 6 gestation weeks. Women were categorized as a high-or-low risk for preterm preeclampsia using the Fetal Medicine Foundation algorithm and 1 in 150 cutoff. High-risk pregnant women were recommended low-dose aspirin 150 mg daily at bedtime. Changes in MAP and mean UtA PI were compared for gestational age intervals and high-and-low risk women using nonparametric tests.Results The study analyzed the results of 1,163 pregnant women. Both MAP (mean difference: 5.14, p < 0.001) and mean UtA PI (mean difference: 0.14, p < 0.001) remained significantly higher at the second-trimester assessment in high-risk pregnant women compared to low-risk pregnant women. Seventy-seven (35.16%) of the 219 pregnant women with abnormal mean UtA PI in the first trimester had an abnormal mean UtA PI in the second-trimester assessment. One hundred (10.59%) of the 944 pregnant women with normal mean UtA PI in the first trimester had an abnormal mean UtA PI in the 19-24 + 6 weeks assessment. Seventy-seven pregnant women (6.62% of 1,163 women, 95% confidence interval: 5.33, 8.20) had an abnormal mean UtA PI at both gestation age intervals. High-risk pregnant women taking low-dose aspirin daily showed a larger reduction in mean UtA PI compared to high-risk pregnant women that did not report the use of low-dose aspirin (0.89 vs. 0.62, p <0.001)Conclusion MAP and mean UtA PI decreased significantly from the first to the second trimester of pregnancy. Sequential assessment of the MAP and mean UtA PI in the first and second trimesters of pregnancy will be useful for fetal radiologists in India to identify a subgroup of women with abnormal mean UtA PI at both trimesters that may need more intense surveillance and follow-up till childbirth.
Estimation of tropospheric parameters with GNSS smartphones in a differential approach
Authors: Stauffer R , Hohensinn R , Herrera Pinzón I D , Moeller G , Pan Y , Kłopotek G , Soja B , Brockmann E , Rothacher M 
Published: April 2023

Abstract
With the introduction of the operating system Android 7 Nougat in the year 2016, it became possible to access Global Navigation Satellite System (GNSS) code and carrier phase observations. These observations can be processed with the state-of-the-art GNSS processing software packages, which allows an in-depth evaluation of the smartphone’s GNSS performance. The availability of carrier phase observations enables sub-decimeter-level positioning. A few years ago, smartphones wearing dual-frequency GNSS chipsets hit the mass market. In this study, we investigate the capability of such a device for the estimation of tropospheric delays. Static measurements carried out over the period of two weeks are performed using a Google Pixel 4 XL smartphone. The measurements are processed using relative positioning methods with a baseline length of about 33 kilometers, where a continuously operating reference station (CORS) acts as a base. The estimated differential zenith tropospheric wet delay (dZWD), obtained for the smartphone are then combined with absolute values computed at the reference station, in order to obtain time series of Zenith Total Delay (ZTD). Using this method, we demonstrate that high-precision ZTDs can be successfully determined from smartphone GNSS observations. When comparing the estimated tropospheric delays with those determined at a nearby geodetic receiver to assess the accuracy of the acquired time series of ZTD, differences in the range of few millimeters to a centimeter are visible. We examine the impact of various error sources, such as antenna phase center variations and residual effects of the ionosphere. Given that the obtained accuracies are at the level of a centimeter and below, the suggested method shows the potential to resolve small-scale tropospheric structures in near real-time, and thus, could be an interesting data source for numerical weather prediction models or related GNSS crowdsourcing projects.
Electron-beam synthesis of ceramic- and boron-based coatings
Authors: Tyunkov A V , Andronov A A , Zolotukhin D B , Yushkov Yu G 
Published: April 2023

Abstract
We report the results of our experimental investigations on the synthesis of coatings based on various ceramics and boron. The coatings were synthesized by electron-beam evaporation of solid dielectric targets of Al2O3, YSZ, Al2O3Cr, and B. The deposition rates for coatings based on these materials were measured. The deposition rate of defect-free coatings was 1200–1600 nm min−1. The obtained coatings, up to 5 μm thick, were studied in terms of their morphology, structure, and tribological properties. The coatings are uniform in thickness, composition and free of impurities. The coatings, with the exception of the zirconium oxide film, have a predominantly amorphous structure. Comparisons of their mechanical and tribological characteristics are presented. The hardness of the coatings formed from YSZ was 0.4 GPa, from aluminum oxide ceramics 4–6 GPa, and from boron 11 GPa. Boron-based coatings were found to be the most wear-resistant (with wear coefficient about 8.9·10−6 mm3 N−1·m−1).