bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the influence of journal form and position errors on the lubrication performance of four‐recess capillary restrictor hybrid journal bearing
Authors: Wang Lili , Ge Xue , Duan Jingdong , Li Longchao , Bao Yunlong 
Published: January 2023

AbstractIn the actual working condition, due to the manufacturing errors, improper installation, load, thermal deformation or other factors can cause the journal surface to produce the form and position errors. The mathematical models are developed that takes into account the form and position errors, the lubrication performance of four‐recess capillary restrictor hybrid journal bearings with different journal tilt angles and cylindricities is studied, and the effect of eccentricity on the oil film lubrication performance is analysed. The results show that the dimensionless oil film pressure and loading capacity increase as the journal tilt angle and eccentricity increase considering journal tilt, and the friction coefficient tends to increase and then decrease. Compared with journal alignment, the oil film thickness distorts, the oil film pressure peak shifts to the edge of bearing, and the horizontal tilt has a greater impact on bearing when the journal is tilted. The oil film pressure distribution has no significant change considering cylindricity errors, while the oil film pressure value increases, the loading capacity increases and the coefficient of friction decreases as the cylindricity and eccentricity increase. The research shows that the presence of a certain cylindricity error contributes to the lubrication performance of four‐recess capillary restrictor hybrid journal bearings.
A dynamic analysis of a monopolist's efforts for improving product quality and process innovation with reference price effects under linear demand
Authors: Guo Genlong , Li Shoude 
Published: January 2023

AbstractThis paper examines a monopolist's innovation efforts for improving product quality and process innovation with reference price effects. Our main results show that the system can achieve saddle‐point steady‐state equilibrium; the two efforts increase with the increase of reference price; although the price is still determined by the monopolist, the price under the social planner regulation is higher than that under the monopolist decision‐making; there is always a negative relationship between the product quality and the price; and memory parameter affects the complementarity (substitutability) relationship between these two efforts.
MEDL‐Net: A model‐based neural network for MRI reconstruction with enhanced deep learned regularizers
Authors: Qiao Xiaoyu , Huang Yuping , Li Weisheng 
Published: January 2023

PurposeTo improve the MRI reconstruction performance of model‐based networks and to alleviate their large demand for GPU memory.MethodsA model‐based neural network with enhanced deep learned regularizers (MEDL‐Net) was proposed. The MEDL‐Net is separated into several submodules, each of which consists of several cascades to mimic the optimization steps in conventional MRI reconstruction algorithms. Information from shallow cascades is densely connected to latter ones to enrich their inputs in each submodule, and additional revising blocks (RB) are stacked at the end of the submodules to bring more flexibility. Moreover, a composition loss function was designed to explicitly supervise RBs.ResultsNetwork performance was evaluated on a publicly available dataset. The MEDL‐Net quantitatively outperforms the state‐of‐the‐art methods on different MR image sequences with different acceleration rates (four‐fold and six‐fold). Moreover, the reconstructed images showed that the detailed textures are better preserved. In addition, fewer cascades are required when achieving the same reconstruction results compared with other model‐based networks.ConclusionIn this study, a more efficient model‐based deep network was proposed to reconstruct MR images. The experimental results indicate that the proposed method improves reconstruction performance with fewer cascades, which alleviates the large demand for GPU memory.
Effect of subject‐specific head morphometry on specific absorption rate estimates in parallel‐transmit MRI at 7 T
Authors: Jeong Hongbae , Andersson Jesper , Hess Aaron , Jezzard Peter 
Published: January 2023

PurposeTo assess the accuracy of morphing an established reference electromagnetic head model to a subject‐specific morphometry for the estimation of specific absorption rate (SAR) in 7T parallel‐transmit (pTx) MRI.MethodsSynthetic T1‐weighted MR images were created from three high‐resolution open‐source electromagnetic head voxel models. The accuracy of morphing a “reference” (multimodal image‐based detailed anatomical [MIDA]) electromagnetic model into a different subject's native space (Duke and Ella) was compared. Both linear and nonlinear registration methods were evaluated. Maximum 10‐g averaged SAR was estimated for circularly polarized mode and for 5000 random RF shim sets in an eight‐channel transmit head coil, and comparison made between the morphed MIDA electromagnetic models and the native Duke and Ella electromagnetic models, respectively.ResultsThe averaged error in maximum 10‐g averaged SAR estimation across pTx MRI shim sets between the MIDA and the Duke target model was reduced from 17.5% with only rigid‐body registration, to 11.8% when affine linear registration was used, and further reduced to 10.7% when nonlinear registration was used. The corresponding figures for the Ella model were 16.7%, 11.2%, and 10.1%.ConclusionWe found that morphometry accounts for up to half of the subject‐specific differences in pTx SAR. Both linear and nonlinear morphing of an electromagnetic model into a target subject improved SAR agreement by better matching head size, morphometry, and position. However, differences remained, likely arising from details in tissue composition estimation. Thus, the uncertainty of the head morphometry and tissue composition may need to be considered separately to achieve personalized SAR estimation.
Pulmonary care for ALS: Progress, gaps, and paths forward
Authors: Ackrivo Jason 
Published: January 2023

AbstractIntroductionAdults with amyotrophic lateral sclerosis (ALS) have been using home mechanical ventilation for over 50 years. More recently, home respiratory care has evolved to include portable home ventilators, airway clearance devices, and physiological assessments with telemonitoring capability.Current State of Respiratory CareNational organizations currently offer incentives for providing a pulmonary care specialist within a multidisciplinary ALS clinic; however, several critical gaps exist between the available technology and employing a clinician with the necessary expertise.Gaps in CareLack of formal training and poor financial incentives have led to a paucity of both clinicians and active clinical research engaging in the home respiratory care of ALS. Criteria for noninvasive ventilation (NIV) initiation are controversial, and few guidelines exist on the ideal subsequent adjustments of NIV with evolving disease. Consequently, many patients with ALS tolerate NIV poorly and must face the harrowing decision of hospice vs tracheostomy. Advancement of respiratory care in ALS has been hindered by critical gaps in pulmonologist availability, training in chronic respiratory failure, financial support, clinical research, and clarity on ventilation management beyond initiation.Bringing Respiratory Care Up to SpeedOnly a multifaceted approach will suffice for addressing the voids in ALS respiratory care, including various education initiatives, financial incentives, clinical research programs, and elevating the standard of respiratory care.
Core‐passivation: A concept for stable core‐shell nanoparticles in aqueous electrocatalysis
Authors: Göhl Daniel , Paciok Paul , Wang Zhenshu , Kang Jin Soo , Heggen Marc , Mayrhofer Karl J. J. , Román‐Leshkov Yuriy , Ledendecker Marc 
Published: January 2023

AbstractThe stability of nanoparticles is a major challenge in thermal and electrocatalysis. This is especially true for core‐shell nanoparticles where only a few monolayers of noble metal protect the usually non‐noble core material. In this work, we utilize the practical nobility concept to engineer stable core‐shell nanoparticles with a self‐passivating core material. Specifically, tantalum carbide as core material in combination with a 1–3 monolayer thick platinum shell exhibits exceptional stability in aqueous media. The core‐shell catalyst shows no sign of structural changes after 10,000 degradation cycles up to 1.0 VRHE. Due to the efficient passivation of tantalum carbide at the solid/liquid interface, the dissolution reduces by a factor of eight compared to bare Pt. Our findings confirm that passivating core materials are highly beneficial for the stabilization of core‐shell nanomaterials in aqueous media. They open up new ways for the rational design of cost‐efficient but stable non‐noble core – platinum shell nanoparticles where harsh, oxidizing conditions are employed.
Correlation of Intraoperative Ultrasonographic Oral Tongue Shape and Border and Risk of Close Margins
Authors: Au Vivienne H. , Yoon Byung C. , Juliano Amy , Sadow Peter M. , Faquin William C. , Varvares Mark A. 
Published: January 2023

AbstractIntraoperative ultrasound (IOUS) is a potentially useful adjunct to the resection of oral tongue cancers (OTC). IOUS images of the tumor‐normal tissue interface show different patterns of invasion. In this retrospective series of 29 patients treated for OTC, we evaluated if there was a correlation between IOUS findings of patterns of invasion and final histology and assessed if there was any associated risk of increased incidence of positive or close margins with different patterns of invasion as seen on ultrasound. Although we found no significant correlation between ultrasound patterns of invasion and histological evaluation, we did find that an infiltrative pattern of invasion on IOUS did result in a significant risk of a close margin. Further exploration of these findings in a larger prospective study could provide definitive information on the efficacy of this modality in OTC resections.
An overview of the rehabilitation and psychiatric diagnoses of patients referred to a psychiatry consult liaison service at an inpatient rehabilitation hospital
Authors: Daly Natalie , Steinberg Rosalie , Boyle Matthew T. , Brenkel Megan , Robinson Lawrence 
Published: January 2023

AbstractBackgroundPatients presenting for inpatient rehabilitation following injury or illness are commonly affected by comorbid psychiatric illness. Currently, little is known about the utilization of a psychiatry consult service in an inpatient rehabilitation hospital.ObjectiveTo identify which rehabilitation patient populations most frequently received psychiatric consultation and recognize the most common psychiatric comorbidities after the implementation of a psychiatry consult liaison (PCL) service.DesignA retrospective observational study in the form of a chart review examining the utilization patterns of a psychiatric consultation liaison service in the inpatient rehabilitation setting. Chart review was performed to extract patient demographics (age and sex), rehabilitation diagnosis, cause of rehabilitation diagnosis (intentional, accident, self‐inflicted, or disease), reason for referral to psychiatry, and psychiatric diagnosis on initial consultation. Statistical software was used for statistical analysis to answer the pre‐specified research questions.SettingA 178 bed, free‐standing, academic rehabilitation hospital located in an urban Canadian center.PatientsAny patient admitted to the inpatient rehabilitation hospital who received a psychiatric consultation between September 2016 and December 2019 was eligible for inclusion.ResultsA total of 1016 charts were reviewed in the initial chart review and 1008 were included. The most common rehabilitation diagnoses that were associated with a psychiatric consult were (% admissions receiving consultation): amputations (38%); burns (35%), neurologic disorder (28%), deconditioning (14%), and musculoskeletal injury (7%). Although 20% of patients did not meet criteria for a psychiatric diagnosis, most common psychiatric diagnoses included mood disorder, adjustment disorder, neurocognitive disorder, and delirium.ConclusionThere are significant perceived needs for psychiatric services in the inpatient rehabilitation setting. Although some patient groups such as patients with amputations, burns, and trauma may exhibit the highest utilization, the service supports mental health needs from many patient groups.
Bronchiolitis before and after the SARS‐CoV‐2 pandemic: Twelve years of experience in a Spanish paediatric hospital
Authors: Guerrero‐del‐Cueto Fuensanta , Ramos‐Fernandez Jose Miguel , Leiva‐Gea Isabel , Reina‐Moreno Elena , Ortiz‐Ortigosa Ana , Carazo‐Gallego Begoña , Cordon‐Martinez Ana Maria , Moreno‐Perez David , Nuñez‐Cuadros Esmeralda 
Published: January 2023

AbstractIntroductionAcute bronchiolitis is the main cause of hospitalization in children under 2 years of age, with a regular seasonality, mostly due to the respiratory syncytial virus.ObjectivesTo describe the epidemiology of bronchiolitis hospitalizations in our center in the last 12 years, and analyze the changes in clinical characteristics, microbiology, and adverse outcomes during the SARS‐CoV‐2 pandemic.MethodsObservational study including patients admitted for bronchiolitis between April 2010 and December 2021 in a Spanish tertiary paediatric hospital. Relevant demographic, clinical, microbiological, and adverse outcome variables were collected in an anonymized database. The pandemic period (April 2020 to December 2021) was compared to 2010−2015 seasons using appropriate statistical tests.ResultsThere were 2138 bronchiolitis admissions, with a mean of 195.6 per year between 2010 and 2019 and a 2−4‐month peak between November and March. In the expected season of 2020, there was a 94.4% reduction of bronchiolitis hospitalizations, with only 11 cases admitted in the first year of the pandemic. Bronchiolitis cases increased from the summer of 2021 during a 6‐month long peak, reaching a total of 171 cases. Length of stay was significantly shorter during the pandemic, but no differences were found in clinical and microbiological characteristics or other adverse outcomes.ConclusionsThe SARS‐CoV‐2 pandemic has modified the seasonality of bronchiolitis hospitalizations, with a dramatic decrease in cases during the expected season of 2020−2021, and an extemporaneous summer−autumn peak in 2021 with longer duration but similar patient characteristics and risk factors.
Moisture ingress in commercial steel drums: Water content determination, diffusion modelling and predicted permeation rates
Authors: Bustillos Christian G. , Bora Mihail , King Gabriella , Matt Sarah , Haertling Carol , Du Frane Wyatt L. 
Published: January 2023

AbstractCommercial steel drums underpin the global economy, playing a pivotal role in the storage and transportation of critical materials. Transported and stored materials, such as food, chemical and nuclear waste, can be sensitive to ambient conditions, particularly moisture that can enhance negative effects such as corrosion and material degradation. Although international standards and regulations are in place for the qualification of steel drums, there are no current testing requirements, established limits or boundaries for the permeation of moisture into the drums during transportation or storage. This work aims to provide insights into the moisture ingress over time into properly sealed steel drums and provides estimated moisture ingress rates over time through extrapolation. Water vapour transmission rate (WVTR) measurements through the gasket material at 10–40°C were 0.11–2.1 g/m2/day resulting in a permeation activation energy of 30.2 kJ/mol. Water sorption measurements and Karl Fischer titration (KFT) on ethylene propylene diene monomer (EPDM) gasket material revealed a decrease in equilibrium moisture saturation with increasing temperature. KFT measurements also revealed the presence of moisture within the adhesive and drum wall after exposure to ambient conditions. KFT and Fourier transform infrared spectroscopy (FTIR) show that moisture will desorb from the EPDM and drum wall after exposure to desiccating conditions, although a minimal amount of moisture will remain present. When sealed to the manufacturer's recommendations, the steel drums are effective in minimizing moisture ingress. In sealed empty drums, moisture ingress rates for 19‐L drums were 0.4–1.5 mg/day at 25°C 15% relative humidity (RH) and increased to 7.1–8.8 mg/day at 40°C 90% RH, and moisture ingress rates for 210‐L drums were 2.5 and 3.5 mg/day at field deployment conditions of 15.5°C 51.5% RH and 23°C 40% RH, respectively.
An Electrochemical Sensor Based on Carbon Quantum Dots and Ionic Liquids for Selective Detection of Dopamine
Authors: Nazari Zahra , Hadi Nematollahi Mohammad , Zareh Fatemeh , Pouramiri Behjat , Mehrabani Mehrnaz 
Published: January 2023

AbstractDopamine (DA) as a neurotransmitter has a pivotal role in the central nervous system. Because of altered levels of DA in various neuroscience diseases, development of a quick, sensitive, and simple analytical approach to determine DA in biological fluids could be very applicable. In this research, a novel electrochemical sensor based on a carbon paste electrode (CPE) modified with ionic liquid (IL) and carbon quantum dots (CQDs) for measuring DA with uric acid and ascorbic acid was developed. IL and CQDs were synthesized and characterized for their specific properties such as composition, emission, size distribution, and morphology structure. Then, the modified CPE and different DA concentration was determined via cyclic voltammetry. The modified electrode exhibited great electrocatalytic activity for DA oxidation. Under optimal conditions, the calibration diagram for DA was linear within the range of 0.1–50 μM in phosphate buffer (pH=7.4) and limit of detection was 0.046 μM. The electrode was successfully used in the determination of DA in real samples and generated acceptable outputs. The proposed electrochemical sensor could be an exceptional step forward in DA detection and pave the way for the molecular diagnosis of neurological illnesses.
A Unified, Microwave‐Assisted, Palladium‐Catalyzed Regioselective Ortho‐monohalogenation of 1‐Alkyl/benzyl‐3‐Phenylquinoxalin‐2(1H)‐ones
Authors: Kumar Sandeep , Prince Prince , Monika Monika , Kumar Prashant , Len Christophe , Singh Brajendra K. 
Published: January 2023

AbstractA Unified, Microwave assisted, Pd‐catalyzed regioselective ortho‐monohalogenation of 3‐phenylquinoxalin‐2(1H)‐one derivatives has been disclosed using readily available N‐halosuccinimides (NXS). The nitrogen atom of quinoxalin‐2(1H)‐one facilitated as an effective directing group and helped in achieving regioselective mono halogenation at ortho‐position of 3‐phenyl ring of 3‐phenylquinoxalin‐2(1H)‐ones. Under mild reaction condition, a wide diversity of mono halogenated products were obtained with wide substrate scope and high functional group tolerance in good yields. Post‐functionalization of the synthesized molecules has been demonstrated.
Lithiophilic hyperbranched Cu nanostructure for stable Li metal anodes
Authors: Chen Jianyu , Qiao Xin , Fu Wei , Han Xuran , Wu Qiang , Wang Yizhou , Zhang Yu , Shi Li , Zhao Jin , Ma Yanwen 
Published: January 2023

AbstractPorous copper (Cu) current collectors are regarded as a promising host for stabilizing lithium (Li) metal anodes but suffer from uncontrollable Li metal deposition due to the intrinsic lithiophobic nature of Cu. This study proposes a vertically aligned Cu host with hyperbranched CuxO nanostructure to provide lithiophilic nucleation sites for homogeneous Li metal deposition. Specifically, the vertically aligned Cu nanostructure dramatically reduces the local current density and brings homogeneous Li‐ion flux. The lithiophilic hyperbranched CuxO nanostructure with a low nucleation barrier could induce homogeneous Li nucleation and growth. As a result, the Cu@CuxO nanostructured host exhibits a low nucleation overpotential of 44.3 mV and achieves highly electrochemical reversibility with high Coulombic efficiency of 98.33% in a half‐cell. The Cu@CuxO nanostructured electrode is capable of working under different current densities varying from 0.5 to 5 mA/cm2 in a symmetric cell. The assembled full cell coupling of the Li/Cu@CuxO composite anode with the LiFePO4 cathode manifests stable long‐term cycling life at 1 C. This study elaborates on the synergistic effect of electrode structure design and interfacial chemistry modification to regulate the Li deposition/dissolution behavior, thus exhibiting remarkable electrochemical performances for next‐generation Li‐metal batteries.
On the diffusion of test smells and their relationship with test code quality of Java projects
Authors: Martins Luana , Costa Heitor , Machado Ivan 
Published: January 2023

AbstractTest smells are considered bad practices that can reduce the test code quality, thus harming software testing goals and maintenance activities. Prior studies have investigated the diffusion of test smells and their impact on test code maintainability. However, we cannot directly compare the outcomes of the studies as most of them use customized datasets. In response, we introduced the TSSM (Test Smells and Structural Metrics) dataset, containing test smells detected using the JNose Test tool and structural metrics (test code and production code) calculated with the CK metrics tool of 13,703 open‐source Java systems from GitHub. In addition, we perform an empirical study to investigate the relationship between test smells and structural metrics of test code and the relationship between test smells on a large‐scale dataset. We split the projects into three clusters to analyze the distribution of test smells, the co‐occurrences among test smells, and the correlation of test smells and structural metrics of test code. The ratio of smelly test classes with a specific test smell is similar among the clusters, but we could observe a significant difference in the number of test smells among them. The test smells Sleepy Test, Mystery Guest, and Resource Optimism rarely occur in the three clusters, and the last two are strongly correlated, indicating that those test smells are more severe than others. Our results point out that most test smells have a moderate correlation with high complexity, large size, and coupling of the test code, indicating that they can also negatively affect its quality. To support further studies, we made our dataset publicly available.