bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long‐term survival of dogs with stage 4 oral malignant melanoma treated with anti‐canine PD‐1 therapeutic antibody: A follow‐up case report
Authors: Igase Masaya , Inanaga Sakuya , Tani Kenji , Nakaichi Munekazu , Sakai Yusuke , Sakurai Masashi , Kato Masahiro , Tsukui Toshihiro , Mizuno Takuya 
Published: May 2022

AbstractA monoclonal antibody targeting programmed cell death‐1 (PD‐1) is one of the most promising treatments for human cancers. Clinical studies in humans demonstrated that the anti‐PD‐1 antibody provides a long‐lasting tumour response. Previously, we established an anti‐canine PD‐1 therapeutic antibody (ca‐4F12‐E6), and the pilot clinical study demonstrated that the antibody was effective in dogs with oral malignant melanoma (OMM). However, two OMM cases were still undergoing treatment when the pilot study was published. Here, we describe the long‐term follow‐up of those two cases. Although both cases showed long‐term survival with complete response (CR), the tumour response differed; the effect onset was slow in one case and a durable response was observed in the second case even after treatment discontinuation. Secondary malignant tumours occurred during treatment in both cases. This follow‐up study revealed that ca‐4F12‐E6 maintains CR in dogs for more than 1 year. In addition, the pattern of tumour response was unique compared to conventional therapy. These results indicate that new evaluation criteria for tumour response may be necessary for immunotherapy in veterinary medicine. Long‐term follow‐up is necessary regardless of the short‐term treatment responsiveness.
Product Competition Prediction in Engineering Design Using Graph Neural Networks
Authors: Ahmed Faez , Cui Yaxin , Fu Yan , Chen Wei 
Published: May 2022

AbstractUnderstanding relationships between different products in a market system and predicting how changes in design impact their market position can be instrumental for companies to create better products. We propose a graph neural network-based method for modeling relationships between products, where nodes in a network represent products and edges represent their relationships. Our modeling enables a systematic way to predict the relationship links between unseen products for future years. When applied to a Chinese car market case study, our method based on an inductive graph neural network approach, GraphSAGE, yields double the link prediction performance compared to an existing network modeling method—exponential random graph model-based method for predicting the car co-consideration relationships. Our work also overcomes scalability and multiple data type-related limitations of the traditional network modeling methods by modeling a larger number of attributes, mixed categorical and numerical attributes, and unseen products. While a vanilla GraphSAGE requires a partial network to make predictions, we augment it with an “adjacency prediction model” to circumvent the limitation of needing neighborhood information. Finally, we demonstrate how insights obtained from a permutation-based interpretability analysis can help a manufacturer understand how design attributes impact the predictions of product relationships. Overall, this work provides a systematic data-driven method to predict the relationships between products in a complex network such as the car market.
Zonal Detached Eddy Simulation of the Fan-Outlet Guide Vanes Stage of a Turbofan Engine: Part I—Methodology, Numerical Setup, and Aerodynamic Analysis
Authors: François Benjamin , Polacsek Cyril , Barrier Raphaël 
Published: May 2022

Abstract
This article deals with the zonal detached eddy simulation of the fan module of a modern turbofan engine for the prediction of the broadband noise due to the interaction of the fan turbulent wakes with the stationary outlet guide vanes. The simulation relies on a hybrid RANS/LES approach with a zonal strategy: the core airflow is treated in RANS, while the bypass airflow is solved with the hybrid approach. The simulation was performed during four revolutions, and statistical convergence was reached. Inspections of the flowfields highlight a consistent behavior of the shielding function (border between RANS and LES solving areas) around the blade walls and at the trailing edge for a such complex flow. The fan module was tested in the AneCom facility in which hot wire measurements were made in-between the fan and the outlet guide vanes. The numerical results are compared to this large dataset of measurements. The flow maps are well retrieved by the simulation for both the time-averaged and the turbulent quantities. Comparison of radial profiles shows an excellent agreement for the three root-mean-square (RMS) components of the velocities between zonal detached eddy simulation (ZDES) and the measurements, particularly in the tip gap flow area, in which RANS results do not reproduce correctly the flow quantities. The wake shape, a key feature in the mechanism of generation of rotor–stator interaction noise), is quite well predicted by the ZDES simulation. These numerical results demonstrate the maturity of the approach for the simulation of complex turbomachinery flows.
Effect of Interfacial Tension on Relative Permeability Curves Obtained by Considering Surfactant Adsorption and Diffusion
Authors: Zhang Wenlong , Hou Jian , Liu Yongge , Cao Weidong , Zhou Kang , Du Qingjun 
Published: May 2022

Abstract
To consider the effect of adsorption and diffusion of surfactant on relative permeability, a method for estimating the relative permeability was developed by matching production data obtained through an unsteady-state core flooding experiment and numerical simulation. After the robustness of the method was proven, the necessity of considering surfactant adsorption and diffusion in calculating the relative permeability was proven. Compared with relative permeability curves obtained by neglecting surfactant adsorption and diffusion, the average error of the relative permeability curve obtained by considering surfactant adsorption and diffusion decreases from 11.5% to 3.5% for the oil phase and from 13.1% to 4.2% for the aqueous phase. Finally, the effects of interfacial tension (IFT) on relative permeability curves obtained by considering surfactant adsorption and diffusion were studied. The results show that surfactant adsorption and diffusion affect the relative permeability but not the change in the relative permeability curves for varying IFT. The individual relative permeability curve does straighten with decreasing IFT. As the IFT decreases in a semilog plot, the relative permeability values at the equal-permeability point (i.e., the same relative permeability for oil–water) and residual oil endpoint increase following a logistic function and an exponential function, respectively.
The matrix optimum filter for low temperature detectors dead-time reduction
Authors: Borghesi Matteo , Faverzani Marco , Ferrari Cecilia , Ferri Elena , Giachero Andrea , Nucciotti Angelo , Origo Luca 
Published: May 2022

AbstractExperiments aiming at high sensitivities usually demand for a very high statistics in order to reach more precise measurements. However, for those exploiting Low Temperature Detectors (LTDs), a high source activity may represent a drawback, if the events rate becomes comparable with the detector characteristic temporal response. Indeed, since commonly used optimum filtering approaches can only process LTDs signals well isolated in time, a non-negligible part of the recorded experimental data-set is discarded and hence constitute the dead-time. In the presented study we demonstrate that, thanks to the matrix optimum filtering approach, the dead-time of an experiment exploiting LTDs can be strongly reduced.
Optical properties of null geodesics emerging from dynamical systems
Authors: Batic D. , Chanda S. , Guha P. 
Published: May 2022

AbstractWe study optical metrics via null geodesics as a central force system, deduce the related Binet equation and apply the analysis to certain solutions of Einstein’s equations with and without spherical symmetry. A general formula for the deflection angle in the weak lensing regime for the Schwarzschild-Tangherlini (ST) metric is derived. In addition, we obtain a new weak lensing formula for the deflection angle on the equatorial plane of a Kerr black hole (BH). We also explore the bending of light by considering the gravitational objects described by the Tomimatsu–Sato (TS) metric.
Centimeter-wave Free-space Neural Time-of-Flight Imaging
Authors: Baek Seung-Hwan , Walsh Noah , Chugunov Ilya , Shi Zheng , Heide Felix 
Published: May 2022

Depth sensors have emerged as a cornerstone sensor modality with diverse applications in personal hand-held devices, robotics, scientific imaging, autonomous vehicles, and more. In particular, correlation Time-of-Flight (ToF) sensors have found widespread adoption for meter-scale indoor applications such as object tracking and pose estimation. While they offer high depth resolution at competitive costs, the precision of these indirect ToF sensors is fundamentally limited by their modulation contrast, which is in turn limited by the effects of photo-conversion noise. In contrast, optical interferometric methods can leverage short illumination modulation wavelengths to achieve depth precision three orders of magnitude greater than ToF, but typically find their range is restricted to the sub-centimeter.

In this work, we merge concepts from both correlation ToF design and interferometric imaging; a step towards bridging the gap between these methods. We propose a computational ToF imaging method that optically computes the GHz ToF correlation signal in free space before photo-conversion. To acquire a depth map, we scan a scene point-wise and computationally unwrap the collected correlation measurements. Specifically, we repurpose electro-optical modulators used in optical communication for ToF imaging with centimeter-wave signals, and achieve all-optical correlation at 7.15 GHz and 14.32 GHz modulation frequencies. While GHz modulation frequencies increase depth precision, these high modulation rates also pose a technical challenge. They result in dozens of wraps per meter which cannot be estimated robustly by existing phase unwrapping methods. We tackle this problem with a proposed segmentation-inspired
phase unwrapping network
, which exploits the correlation of adjacent GHz phase measurements to classify regions into their respective wrap counts. We validate this method in simulation and experimentally, and demonstrate precise depth sensing using centimeter wave modulation that is robust to surface texture and ambient light. Compared to existing analog demodulation methods, the proposed system outperforms all of them across all tested scenarios.

CCS Concepts: •
Computing methodologies
;
A Case in Point: Verification and Testing of a EULYNX Interface
Authors: Bouwman Mark , van der Wal Djurre , Luttik Bas , Stoelinga Mariëlle , Rensink Arend 
Published: May 2022

We present a case study on the application of formal methods in the railway domain. The case study is part of the FormaSig project, which aims to support the development of EULYNX — a European standard defining generic interfaces for railway equipment — using formal methods. We translate the semi-formal SysML models created within EULYNX to formal mCRL2 models. By adopting a model-centric approach in which a formal model is used both for analyzing the quality of the EULYNX specification and for automated compliance testing, a high degree of traceability is achieved.
The target of our case study is the EULYNX Point subsystem interface. We present a detailed catalog of the safety requirements, and provide counterexamples that show that some of them do not hold without specific fairness assumptions. We also use the mCRL2 model to generate both random and guided tests, which we apply to a third-party software simulator. We share metrics on the coverage and execution time of the tests, which show that guided testing outperforms random testing. The test results indicate several discrepancies between the model and the simulator. One of these discrepancies is caused by a fault in the simulator, the others are caused by false positives, i.e. an over-approximation of fail verdicts by our test setup.
Myostatin Levels and the Risk of Myopenia and Rheumatoid Cachexia in Women with Rheumatoid Arthritis
Authors: Gonzalez-Ponce Fabiola , Gamez-Nava Jorge Ivan , Gomez-Ramirez Eli Efrain , Ramirez-Villafaña Melissa , Jacobo-Cuevas Heriberto , Rodriguez-Jimenez Norma Alejandra , Olivas-Flores Eva Maria , Esparza-Guerrero Yussef , Martelli-García Alejandro , Santiago-Garcia Aline Priscilla , Nava-Valdivia Cesar Arturo , Martinez-Hernandez Alejandra , Gonzalez-Vazquez Sergio Antonio , Celis Alfredo , Cabrera-Pivaral Carlos Enrique , Totsuka-Sutto Sylvia , Cardona-Muñoz Ernesto German , Gonzalez-Lopez Laura 
Published: May 2022

Background. Myostatin is a regulator of muscle size. To date, there have been no published studies focusing on the relation between myostin levels and myopenia in rheumatoid arthritis (RA). Objective. Evaluate the value of serum myostatin as a biomarker of cachexia and low skeletal muscle mass (LSMM) in RA patients, along with whether high serum myostatin is associated to these conditions after adjusting for potential confounders. Methods. This cross-sectional study included 161 female RA patients and 72 female controls. In the RA group, we assessed several potential risk factors for LSMM and rheumatoid cachexia. Dual-energy X-ray absorptiometry was used to quantify the skeletal muscle mass index (SMMI) (considering

LSMM
≤
5.5

kg/m2) and the presence of rheumatoid cachexia (a fat-free mass

index
≤
10

percentile and fat mass

index
≥
25

percentile of the reference population). Serum myostatin concentrations were determined by ELISA. To identify a cut-off for high serum myostatin levels, we performed ROC curve analysis. Multivariable logistic regression analysis was used to identify the risk factors for LSMM and rheumatoid cachexia. The risk was expressed as odds ratios (ORs) and their 95% confidence intervals (95% CIs). Results. Compared to the controls, the RA group had a higher proportion of LSMM and exhibited high serum myostatin levels (

p
<
0.001

). ROC curve analysis showed that a myostatin

level
≥
17

ng/mL was the most efficient cut-off for identifying rheumatoid cachexia (sensitivity: 53%, specificity: 71%) and LSMM (sensitivity: 43%, specificity: 77%). In the multivariable logistic regression, RA with high myostatin levels (≥17 ng/mL) was found to increase the risk of cachexia (

OR
=
2.79

, 95% CI: 1.24-6.29;

p
=
0.01

) and LSMM (

OR
=
3.04

, 95% CI: 1.17-7.89;

p
=
0.02

). Conclusions. High serum myostatin levels increase the risk of LSMM and rheumatoid cachexia. We propose that high myostatin levels are useful biomarkers for the identification of patients in risk of rheumatoid cachexia and myopenia.
Education During Pandemic: The Adoption of Learning Resource on Wifi Hub Expanded Electronic Learning in Sarangani (LR on WHEeLs) in Alabel 4 District
Authors: Castillas Glenn M. 
Published: May 2022

The purpose of this study is to look into teachers' willingness to use the Learning Resources on Wi-Fi Hub for Expanded e-Learning (LR on WHEeLs) as a flexible learning option to extend the reach of e-learning to remote villages, particularly those outside of the service coverage of major telecommunications companies and internet service providers.
This study employs quantitative research, with data collected via an online survey questionnaire. Purposive sampling was also used to select respondents from Alegria National High School. The collected data was statistically analyzed using weighted mean.
The teachers' readiness on LR on WHEeLs anchored to the uses of ICT revealed the following: first, the school staff and the department as a whole provide ICT professional development. Second, ICT-based activities and materials for teaching were frequently used, and subsequently, teachers were confident in their ICT skills. This indicates that the majority of teacher-respondents had adapted to so-called 21st-century learners. However, it has been revealed that the difficulties encountered by participants in the use of LR on WHEeLs include a lack of interest on the part of teachers, a lack of benefit from using Technology in teaching and learning, and an absence of adequate content/materials. As a result, proper reinforcement must be provided to teachers through training, orientation, and seminars, as well as the provision of the support needed and materials for the use of LR on WHEeLs.
The Electronic Class Record Used by The Cavite State University-Naic Faculty: Its Prospects
Authors: Gutierrez Ernesto A. 
Published: May 2022

The study was conducted at the Cavite State University-Naic. It aimed to assess the existing electronic class record (e-class record) used by the faculty members, problems encountered by teachers on the use of e-class record; and recommend solutions for teachers and administrators to solve problems encountered in the use of e-class record. The statistics used were weighted mean, ranking, frequency distribution, and percentile.
In the assessment, faculty members believed that using the electronic class record lessens the amount of time spent by teachers in grade computation. They also believed that the e-class record made their computation easier with a weighted mean of 4.62. All faculty members favored the benefits of using the electronic class record. Meanwhile, the lowest mean of 3.79 is on the use of electronic class records to help update students about their academic strengths and weaknesses.
Most of the recommended solutions in the survey were agreed upon by the teachers. First on the rank was that there should be an immediate response from technical personnel regarding problems with the computer system. The second was the conduct of regular updates of the e-class record. The third was to provide adequate computer facilities such as printers and computers for the faculty to encode their grades. And last on the recommendation was the conduct of training on basic computer skills.
Communal Coping as a Strategy to Enhance Family Engagement in Dilated Cardiomyopathy
Authors: Burke Wylie , Hovick Shelly R. , Jordan Elizabeth , Ni Hanyu , Kinnamon Daniel D. , Hershberger Ray E. 
Published: May 2022

Background:
Assuring that relatives are informed about a genetic diagnosis and have appropriate medical follow-up can be challenging. We hypothesize that communal coping (CC)—an approach in which a group views a stressor (such as a new genetic diagnosis) as our problem, versus my or your problem, and takes joint action to address it—can help families to address this challenge. A better understanding of CC could also inform counseling interventions to promote CC and family follow-up.

Methods:
In the Dilated Cardiomyopathy (DCM) PM study (Precision Medicine), living first-degree relatives of DCM probands were invited to undergo clinical screening; 31% of these did so. This research program offers the opportunity to determine the frequency of CC in DCM families, assess whether CC attitudes and actions occurred more commonly among families in which family members participated, and conduct prospective follow-up to evaluate family coping and counseling needs over time.

Results:
The proposed studies will provide evidence about the frequency of CC attitudes and actions among DCM families, assess the association of CC with increased family follow-up, and identify counseling needs related to family follow-up.

Conclusions:
The DCM PM study offers an opportunity to test the hypothesis that CC contributes to increased family follow-up and generate evidence to inform counseling interventions to encourage such follow-up.
Early Versus Late Catheter Ablation of Atrial Fibrillation and Risk of Permanent Pacemaker Implantation in Patients With Underlying Sinus Node Dysfunction
Authors: Butt Muhammad Umer , Okumus Nazli , Jabri Ahmad , Thomas Charles , Tarabichi Yasir , Karim Saima 
Published: May 2022

Background
Atrial fibrillation (AF) is associated with anatomical and electrical remodeling. Some patients with AF have concomitant sick sinus syndrome and may need permanent pacemaker (PPM) implantation. Association between catheter ablation of AF timing and need for PPM in sick sinus syndrome has not been assessed.

Methods and Results
We used pooled electronic health data to perform retrospective cross‐sectional analysis of 66, 595 patients with AF and sick sinus syndrome to assess the need of PPM implantation temporally, with AF performed divided into earlier within 5 years (group 1), 5 to 10 years (group 2), or beyond 10 years (group 3) of diagnosis. PPM implantation was lowest among those who had catheter ablation within 5 years of sick sinus syndrome diagnosis: group 1 versus group 2 (18.15% versus 27.21%) and group 1 versus group 3 (18.15% versus 27.22%). Interestingly, there was no difference in risk of PPM between group 2 and group 3 (27.21% versus 27.22%; odds ratio [OR], 1.00 [95% CI, 0.85–1.20]).

Conclusions
Even after controlling known risk factors that increase the need for pacemaker implantation, timing of AF ablation was the strongest predictor for need for PPM. Patients adjusted OR of PPM was lower if patients had catheter ablation within 5 years of diagnosis compared with later than 5 years (adjusted OR, 0.64 [95% CI, 0.59–0.70]).
Left Atrial Decompression in Pediatric Patients Supported With Extracorporeal Membrane Oxygenation for Failure to Wean From Cardiopulmonary Bypass: A Propensity‐Weighted Analysis
Authors: Sperotto Francesca , Polito Angelo , Amigoni Angela , Maschietto Nicola , Thiagarajan Ravi R. 
Published: May 2022

Background
Left atrial (LA) decompression on extracorporeal membrane oxygenation (ECMO) can reduce left ventricular distension, allowing myocardial rest and recovery, and protect from lung injury secondary to cardiogenic pulmonary edema. However, clinical benefits remain unknown. We sought to evaluate the association between LA decompression and in‐hospital adverse outcome (mortality, transplant on ECMO, or conversion to ventricular assist device) in patients who failed to wean from cardiopulmonary bypass using a propensity score to adjust for baseline differences.

Methods and Results

Children (aged <18 years) with biventricular physiology supported with ECMO for failure to wean from cardiopulmonary bypass after cardiac surgery from 2000 through 2016, reported to the ELSO (Extracorporeal Life Support Organization) Registry, were included. Inverse probability of treatment weighted logistic regression was used to test the association between LA decompression and in‐hospital adverse outcomes. Of the 2915 patients supported with venoarterial ECMO for failure to wean from cardiopulmonary bypass, 1508 had biventricular physiology and 279 (18%) underwent LA decompression (LA+). Genetic and congenital abnormalities (
P
=0.001) and pulmonary hypertension (
P
=0.010) were less frequent and baseline arrhythmias (
P
=0.022) were more frequent in LA+ patients. LA+ patients had longer pre‐ECMO mechanical ventilation and CBP time (
P
<0.001), and used aortic cross‐clamp (
P
=0.001) more frequently. Covariates were well balanced between the propensity‐weighted cohorts. In‐hospital adverse outcomes occurred in 47% of LA+ patients and 51% of the others. Weighted multivariate logistic regression showed LA decompression to be protective for in‐hospital adverse outcomes (adjusted odds ratio, 0.775 [95% CI, 0.644–0.932]).

Conclusions
LA decompression independently decreased the risk of in‐hospital adverse outcome in pediatric venoarterial ECMO patients who failed to wean from cardiopulmonary bypass, suggesting that these patients may benefit from LA decompression.