bluuebunny/crossref_metadata_2025_split huggingface dataset:
Osteogenesis Imperfecta: Multidisciplinary and Goal-Centered Care
Authors: Chang Bryston , Keating Sarah , Mikhael Michel , Lim Jina 
Published: July 2022

AbstractWe describe a case of osteogenesis imperfecta (OI) in a late preterm female of 35-week gestation. The mother did have a history of substance abuse, poor prenatal care, and hypertension. On the day of delivery, an ultrasound revealed skeletal dysplasia and breech with nonreassuring fetal tracing, leading to an emergency cesarean. The clinical exam was concerning for OI, and postnatal care was focused on optimizing respiratory status and minimizing pain and discomfort during routine care. Genetics, endocrine, orthopaedics, and palliative care were all involved to diagnose and educate the family. Support and education were needed for bedside staff to minimize angst at performing routine care, given the high risk of fractures. While initially stable on minimal oxygen, once the diagnosis of type III OI was made, a progressively deforming condition with respiratory status decompensation, the family wished to minimize suffering, limited aggressive medical care, and focused on comfort. The infant eventually died from respiratory failure in the neonatal intensive care unit. We present this case to demonstrate the need for an interdisciplinary team approach to support both family and staff in cases of OI.
A Facile and Efficient One-Pot Procedure for the Synthesis of Novel 2-Substituted 3-Thioxoisoindolin-1-one Derivatives
Authors: Adib Mehdi , Mahdavi Mohammad , Gholami Fatemeh , Moazzam Ali , Bahadorikhalili Saeed , Hosseini Samanesadat , Larijani Bagher 
Published: July 2022

AbstractIn this paper, a novel and efficient method is reported for the synthesis of novel 2-substituted 3-thioxoisoindolin-1-one derivatives. The method is based on the solvent-free reaction of 2-carboxybenzaldehyde with aliphatic amines and sulfur at 100 °C. This reaction is intensely significant, especially in pharmacy applications, due to the facile synthesis of asymmetric thioxoisoindolin-1-one derivatives with phthalimide backbones.
Monitoring Lung Injury Severity and Ventilation Intensity during Mechanical Ventilation
Authors: Rezoagli Emanuele , Laffey John G. , Bellani Giacomo 
Published: July 2022

AbstractAcute respiratory distress syndrome (ARDS) is a severe form of respiratory failure burden by high hospital mortality. No specific pharmacologic treatment is currently available and its ventilatory management is a key strategy to allow reparative and regenerative lung tissue processes. Unfortunately, a poor management of mechanical ventilation can induce ventilation induced lung injury (VILI) caused by physical and biological forces which are at play. Different parameters have been described over the years to assess lung injury severity and facilitate optimization of mechanical ventilation. Indices of lung injury severity include variables related to gas exchange abnormalities, ventilatory setting and respiratory mechanics, ventilation intensity, and the presence of lung hyperinflation versus derecruitment. Recently, specific indexes have been proposed to quantify the stress and the strain released over time using more comprehensive algorithms of calculation such as the mechanical power, and the interaction between driving pressure (DP) and respiratory rate (RR) in the novel DP multiplied by four plus RR [(4 × DP) + RR] index. These new parameters introduce the concept of ventilation intensity as contributing factor of VILI. Ventilation intensity should be taken into account to optimize protective mechanical ventilation strategies, with the aim to reduce intensity to the lowest level required to maintain gas exchange to reduce the potential for VILI. This is further gaining relevance in the current era of phenotyping and enrichment strategies in ARDS.
Predictive Factors of Research Productivity among Ophthalmology Residents: A Benchmark Analysis
Authors: Hang Abraham , Pradeep Tejus , Jessani Hassan , Kalra Gagan , Waxman Evan L. , Zhang Matthew , Fu Roxana 
Published: July 2022

Abstract
Introduction Positive and negative associations between prior publications and future research productivity is described in other fields, but no such analysis exists for ophthalmology. We conducted a study to determine characteristics of residents exhibiting research productivity during residency.
Methods Using San Francisco Match and Program Web sites, a roster of ophthalmology residents in 2019 to 2020 was compiled, and publication data was collected via PubMed and Google Scholar on a random sample of 100 third-year residents.
Results The median number of publications generated by ophthalmology residents before residency is 2 (range 0–13). Thirty-seven, 23, and 40 residents had zero, one, and two or more papers published during residency, respectively, with a median of 1 (range 0–14). On univariate analysis, compared with residents who published zero or one paper, those who published ≥ 2 were more likely to have more preresidency publications (odds ratio [OR] 1.30; p = 0.005), attend a top-25 ranked residency program by multiple metrics including Doximity reputation (OR 4.92; p < 0.001), and have attended a top-25 ranked medical school program by U.S. News and World Report (OR 3.24; p = 0.03). However, on adjusted analyses, the only factor that remained significant for predicting publications in residency was whether the residency program attended was top 25 ranked (OR 3.54; p = 0.009).
Discussion/Conclusion With the advent of the United States Medical Licensing Examination Step 1 pass/fail system, greater emphasis will be placed on other metrics, including research. This is the first benchmark analysis examining factors predictive of publication productivity in ophthalmology residents. Our study suggests that the residency program attended, not the medical school attended or prior publication history, plays an influential role in the number of publications produced during residency, highlighting the importance of factors to support research on the institutional level, such as mentorship and funding, rather than historical factors in research productivity by the resident.
Playing to Pretend or “Pretending” to Play: Play in Children with Autism Spectrum Disorder
Authors: Westby Carol 
Published: July 2022

AbstractChildren diagnosed with autism spectrum disorder (ASD) exhibit early delays and deficits in play. In infancy, they engage in unusual exploratory behaviors with toys. As toddlers, they are slow to develop functional play, and in preschool some children with ASD fail to develop symbolic play despite having the necessary cognitive and language skills. Furthermore, when children with ASD are engaged in play, they demonstrate less playfulness. This article reviews the literature on the characteristics of exploratory, functional, and symbolic/pretend play in children with ASD and possible reasons for their unusual patterns of play development. Increased quantity and quality of play are frequent therapeutic goals for children with ASD. If play interventions are to be successful, it is critical that speech-language pathologists have an adequate assessment of children's play skills. Several frameworks and tools appropriate for assessing play in typical children and children with ASD are described.
A Review of the Nature and Development of Lying and Deception and Considerations for Teaching Prosocial Lying to Autistic Persons
Authors: Hutchins Tiffany L. 
Published: July 2022

AbstractCompared with their neurotypical (NT) counterparts, persons with autism appear to be less inclined to tell lies and less skilled in delivering sophisticated forms of deception. At the same time, some forms of deception like white lies and prosocial lies are frequent in human interaction because they are important for social success. This article challenges the reader to evaluate the therapeutic potential for prosocial deception and teaching white-lie telling to autistic persons. The nature and development of antisocial and prosocial lying in NT development and autism are reviewed. Considerations for when to (and when not to) teach the skill of empathic lying are discussed and recommendations for how to teach the comprehension and production of prosocial lies are offered.
Total Knee Arthroplasty for Osteoarthritis Is Uncommon after Intralesional Curettage in Giant Cell Tumor of Bone
Authors: Lee Linus , Buac Neil , Colman Matthew W. , Gitelis Steven , Blank Alan T. 
Published: July 2022

AbstractGiant cell tumor of bone (GCTB) is most often treated with intralesional curettage; however, periarticular lesions have been shown to increase risk for osteoarthritis. Additionally, the location of these lesions may occasionally preclude a joint-sparing procedure in recurrent tumors. This study sought to investigate rates of secondary arthroplasty in long-term follow-up of knee GCTB. Cases of knee GCTB treated at our institution were reviewed. Rates of recurrence and secondary arthroplasty were recorded, and Kaplan-Meier survival analyses were performed. The records of 40 patients were reviewed. Local recurrence occurred in 25% of patients. The 1-, 5-, and 10-year recurrence-free survival (RFS) probability was 87.4% (95% CI, 77.0–97.7), 72.4% (95% CI, 57.6–87.2), and 72.4% (95% CI, 57.6–87.2), respectively. Function improved after surgery with a mean preoperative MSTS score of 14.9 (standard deviation [SD] 8.4) and mean postoperative MSTS score of 25.1 (SD 5.6) (p <0.001). Three patients had evidence of radiographic osteoarthritis at the last follow-up though they did not require arthroplasty. Arthroplasty was performed as a secondary procedure in six patients. Five patients underwent arthroplasty for recurrent tumors after initial treatment with curettage and one patient underwent patellar arthroplasty for osteoarthritis after initial treatment with an allograft composite arthroplasty. Arthroplasty is performed as a secondary procedure in patients with GCTB at a relatively infrequent rate and more often for cases of recurrent disease than for osteoarthritis. Overall, patients treated for GCTB have improved functional outcomes after surgery than before. Large, multi-institutional studies may be required to assess the incidence of secondary osteoarthritis requiring arthroplasty as this was an infrequent finding in our cohort.
A Study on Liaison between Boey Score and Perforated Peptic Ulcer in View of Postoperative Morbidity and Mortality
Authors: Shah Jaimin D. , Modi Jatinkumar B. 
Published: July 2022

Introduction
Several factors associated with poor outcome in perforated peptic ulcer have been identified: delay in diagnosis, coexistent medical illness, shock on admission, leukocytosis, and old age. Such factors increase morbidity and mortality in perforated peptic ulcer disease. Careful resuscitation and perioperative optimization play a significant role in reducing morbidity and mortality associated with perforated peptic ulcer disease.

Methods
A prospective study of 60 cases who were operated for perforated peptic ulcer was done at Sheth L.G. Municipal General Hospital affiliated with AMCMET Medical College & Research Centre, Ahmedabad. Categorization of these patients was done according to Boey score and their outcome was accessed.

Objective
The aim of this study was to appraise and analyze Boey score in operated cases of perforated ulcer disease.

Results
The morbidity and mortality rate in this study were 31.67% and 11.67%, respectively. The morbidity rate increased gradually with increase in Boey score: 8.69, 36.84, 50, and 62.5% for 0, 1, 2, and 3 score, respectively (p < 0.01). The mortality rate was increased progressively with increasing Boey score: 0, 5.26, 30, and 37.5% for 0, 1, 2, and 3 score, respectively, and this relationship was statistically significant (p-value < 0.01). The mean duration of hospital stay was 9.43 ± 4.10 days and p-value was less than 0.001. The area under curve in receiver-operating characteristic curve analysis was 0.854 and 0.751 for mortality and morbidity, respectively.

Conclusion
Boey score is simple, clinically relevant and can precisely predict postoperative morbidity and mortality and the length of hospital stay.
Reassessing the potential of TlCl for laser cooling experiments via four-component correlated electronic structure calculations
Authors: Yuan Xiang , Pereira Gomes André Severo 
Published: July 2022

Following the interest in the experimental realization of laser cooling for thallium fluoride (TlF), determining the potential of thallium chloride (TlCl) as a candidate for laser cooling experiments has recently received attention from a theoretical perspective [Yuan et al., J. Chem. Phys. 149, 094306 (2018)]. From these ab initio electronic structure calculations, it appeared that the cooling process, which would proceed from transitions between a3Π0+ and X1Σ0+ states, had as a potential bottleneck the long lifetime (6.04 µs) of the excited state a3Π0+, that would make it very difficult to experimentally control the slowing zone. In this work, we revisit the electronic structure of TlCl by employing four-component Multireference Configuration Interaction (MRCI) and Polarization Propagator (PP) calculations and investigate the effect of such approaches on the computed transition dipole moments between a3Π0+ and a3Π1 excited states of TlCl and TlF (the latter serving as a benchmark between theory and experiment). Whenever possible, MRCI and PP results have been cross-validated by four-component equation of motion coupled-cluster calculations. We find from these different correlated approaches that a coherent picture emerges in which the results of TlF are extremely close to the experimental values, whereas for TlCl the four-component calculations now predict a significantly shorter lifetime (between 109 and 175 ns) for the a3Π0+ than prior estimates. As a consequence, TlCl would exhibit rather different, more favorable cooling dynamics. By numerically calculating the rate equation, we provide evidence that TlCl may have similar cooling capabilities to TlF. Our analysis also indicates the potential advantages of boosting stimulated radiation in optical cycles to improve cooling efficiency.
Temperature-dependent dynamics at protein–solvent interfaces
Authors: Reuhl Melanie , Vogel Michael 
Published: July 2022

We perform differential scanning calorimetry, broadband dielectric spectroscopy (BDS), and nuclear magnetic resonance (NMR) studies to understand the molecular dynamics in mixtures of ethylene glycol with elastin or lysozyme over broad temperature ranges. To focus on the protein–solvent interface, we use mixtures with about equal numbers of amino acids and solvent molecules. The elastin and lysozyme mixtures show similar glass transition steps, which extend over a broad temperature range of 157–185 K. The BDS and NMR studies yield fully consistent results for the fastest process P1, which is caused by the structural relaxation of ethylene glycol between the protein molecules and follows an Arrhenius law with an activation energy of Ea = 0.63 eV. It involves quasi-isotropic reorientation and is very similar in the elastin and lysozyme matrices but different from the α and β relaxations of bulk ethylene glycol. Two slower BDS processes, viz., P2 and P3, have protein-dependent time scales, but they exhibit a similar Arrhenius-like temperature dependence with an activation energy of Ea ∼ 0.81 eV. However, P2 and P3 do not have a clear NMR signature. In particular, the NMR results for the lysozyme mixture reveal that the protein backbone does not show isotropic α-like motion on the P2 and P3 time scales but only restricted β-like reorientation. The different activation energies of the P1 and P2/P3 processes do not support an intimate coupling of protein and ethylene glycol dynamics. The present results are compared with previous findings for mixtures of proteins with water or glycerol, implying qualitatively different dynamical couplings at various protein–solvent interfaces.
Vertical distribution of soil aggregates and associated organic carbon fractions under conventional vegetable- and rice-based tillage operations
Authors: Shoumik Baig Abdullah Al , Islam Md. Sanaul 
Published: July 2022

Context Vegetable- and rice-based cropping systems are the dominant agricultural practices across South Asia, but the conventional tillage method associated with their cultivation is responsible for soil degradation in terms of aggregates and organic carbon in the surface layer. However, knowledge of its impact on the deeper layers is needed because the aggregate and organic carbon dynamics in deeper soils are little understood. Aims This study analysed the effects of conventional rice-based tillage (RBT) and vegetable-based tillage (VBT) operations on the vertical distribution of aggregates and aggregate-associated organic carbon fractions. Methods Soil samples were collected from 10 vegetable and rice fields, where conventional tillage systems were applied, and analysed for the vertical distribution of aggregates, soil carbon stock, aggregate-associated total organic carbon (AATOC), the relationship between mean weight diameter (MWD) and AATOC, and intra-aggregate particulate organic carbon (iPOC). Key results Soil macroaggregates, MWD, AATOC, and iPOC for the surface soils under RBT were less than for soils under VBT, indicating that soils under RBT had weaker aggregate stability compared to soils under VBT. The relationship between MWD and AATOC was significant (P < 0.01) for the top layers of VBT, but this relationship was non-significant for RBT. Conclusions The study suggests that wet rice cultivation has an adverse effect on soil aggregate stability and its associated organic carbon fractions. Implications Alternative tillage operations for rice-based cultivation are necessary to avoid soil degradation in rice fields.
Translating satire inMafaldaandA Turma da Mônica
Authors: Poteau Christine E. 
Published: July 2022

AbstractIn both the Spanish-language Argentine comic stripMafalda,created by Quino, and the Portuguese-language Brazilian comicA Turma da Mônicaby Maurício de Sousa, the creators’ use of political and cultural satire unveils critical global and national issues through the eyes of young female protagonists. Character naming and effective translation of these comic strips requires an expanded view of satire as a principally literary genre by examining its linguistic and cultural purposes. Thus, this study explores the cultural and linguistic significance of satire in translation along with its associated challenges, drawing on specific examples from these two comic strips to illustrate these issues.
Non-Hermitian quantum-like cascaded nonlinear optical frequency conversion and splitting in dissipative media
Authors: Al-Mahmoud Mouhamad , Coda Virginie , Rangelov Andon , Montemezzani Germano 
Published: July 2022

Abstract
It is shown that cascaded nonlinear optical frequency conversion over an intermediate wavelength, subjected to dissipation, behaves similarly to population transfer via a decaying state in a three-state non-Hermitian quantum system. The intermediate dissipation leads to a fixed phase relationship between the input signal wave and the wave at the target frequency, what finally stabilizes both waves preventing any spatial oscillation of their powers. The cascaded conversion acts as a stable wave splitter between the input and target waves, the latter being nearly immune to power fluctuations of the pumps. A case of a simultaneous cascade of the sum frequency generation and the difference frequency generation processes is discussed as an example. A possible implementation, based on aperiodically engineered quasi-phase-matching in lithium niobate, is proposed.
A novel bootstrap ensemble learning convolutional simple recurrent unit method for remaining useful life interval prediction of turbofan engines
Authors: Zhao Chengying , Huang Xianzhen , Liu Huizhen , Gao Tianhong , Shi Jiashun 
Published: July 2022

Abstract
The deep neural network is widely applied in remaining useful life (RUL) prediction because of its strong feature extraction ability. However, the prediction results of deep learning neural networks are often influenced by random noise and modeling parameters. Moreover, the training process of the traditional neural network is time-consuming. To overcome these drawbacks, a novel bootstrap ensemble learning convolutional simple recurrent unit (ELCSRU) method is proposed for RUL prediction. The simple recurrent unit is used to learn the time-series features of sensor data, which can effectively reduce the model parameters and boost the calculation speed. Moreover, the RUL prediction uncertainty can be quantified using the prediction interval, which can be calculated by the ELCSRU model. The prediction performance of the ELCSRU model is demonstrated using a turbofan engine dataset. The experimental results show that the proposed ELCSRU model provides a prognosis framework with better prediction performance for quantifying RUL prediction uncertainty.
Simple model for tokamak outer midplane electron temperature profile in scrape-off-layer verified by SOLPS-ITER simulations
Authors: Poletaeva A , Kaveeva E , Rozhansky V , Veselova I 
Published: July 2022

Abstract
A simple analytical model for the estimation of scrape-off-layer (SOL) electron temperature profile in the equatorial outer midplane (OMP) is suggested. It is demonstrated that the OMP electron temperature profile in the SOL can be approximated by a power function of the radial coordinate for constant anomalous perpendicular transport coefficients. The obtained profile gives a slower radial decrease with respect to exponential fitting, which is widely used for OMP electron temperature estimation in the near-SOL region. It is shown that the analytical profiles are in good agreement with those obtained from SOLPS-ITER simulations for the semi-detached regimes of ITER, JET and ASDEX-Upgrade. They are also in reasonable agreement with experimental Thomson scattering profiles for JET and ASDEX-Upgrade. Analysis based on SOLPS-ITER simulation shows that account of more complicated effects such as energy exchange with ions, convective energy transport, etc, can change quantitatively by factors of the order of unity, but not qualitatively, the radial electron OMP temperature profiles.
Power spectral density-based fractal analyses of sputtered yttria-stabilized zirconia thin films
Authors: Eftekhari Leila , Raoufi Davood , Javad Eshraghi Mohamad , Ghasemi Mohsen 
Published: July 2022

Abstract
This study provides information about the surface morphology of sputtered yttria-stabilized zirconia (YSZ) thin films from the atomic force microscope (AFM) spectral analyses using the power spectral density (PSD) function at varying annealing temperatures. Applying fractal and k-correlation fitting models to the PSD data, fractal dimension, Hurst exponent, correlation length, and equivalent root mean square roughness are quantified. The PSDs of the films exhibit an inverse power-law variation at high spatial frequency, which points to the existence of the fractal components in the film’s surface. The annealing temperatures up to 900 ∘C decreased fractal dimension from 2.60 to 2. The surface roughness increased from 0.10 to 13.92 nm and from 0.04 to 3.95 nm, obtained from the statistical analyses of AFM images and the k-correlation model. The films annealed from 500 ∘C to 800 ∘C showed fine grain size morphology with Hurst exponent values from 0.40 to 0.53, indicating a homogeneous spatial roughness distribution. While the film annealed at 900 ∘C exhibited large aggregate grains morphology. The growth of a sample annealed at the temperature of 900 ∘C is more likely to be ruled by the step-edge barrier-induced mound growth and inhomogeneous spatial distribution of roughness. In contrast, normal self-affine behaviour is observed at lower annealing temperatures.