bluuebunny/crossref_metadata_2025_split huggingface dataset:
A survey of pediatric oncology nurses’ oral health knowledge, attitudes, practices, and perceived barriers in a Singapore Tertiary Children’s Hospital
Authors: Yee Ruixiang , Chay Pui Ling , Khor Melissa Mei-Yi , Lim Yvonne Siew Ling , Lee Nicole Kim Luan , Kam Wee Fang , Saffari Seyad Ehsan , Chan Mei Yoke 
Published: February 2023

Abstract
Aim
To explore oral health-related knowledge, abilities, attitudes, practices, and barriers of pediatric oncology nurses at an Asian children’s hospital.

Methods
A cross-sectional study was conducted via a self-administered anonymized questionnaire. Data was analyzed to summarize knowledge, confidence, and practice behaviors.

Results
All sixty-three pediatric oncology nurses responded. Fifteen participants had >80% of the knowledge questions correct. Majority (97.3%) agreed on their roles in helping patients maintain their oral health. However, 75.8% of participants felt need for training in giving oral health advice. Notably, 74.6% checked patients’ mouths at least once daily but only 57.1% felt adequately trained. Though a high proportion (>90%) of nurses felt confident to assist with oral care, only 65% would assist patients to do so; “Uncooperative patient” was the major barrier reported.

Discussion
Nurses have high general awareness of importance of oral health, but had incomplete knowledge. Compared to previous studies, most (90.5%) did not find performing oral care unpleasant but other barriers might have hindered actual oral care practice.

Conclusion
Nurses were motivated to assist in oral care of children with cancer but sometimes felt ill-equipped. Updated national and institution guidelines, didactic and hands-on training, and implementation of practical support could be considered.
Cross-protection and cross-feeding between Klebsiella pneumoniae and Acinetobacter baumannii promotes their co-existence
Authors: Semenec Lucie , Cain Amy K. , Dawson Catherine J. , Liu Qi , Dinh Hue , Lott Hannah , Penesyan Anahit , Maharjan Ram , Short Francesca L. , Hassan Karl A. , Paulsen Ian T. 
Published: February 2023

AbstractAcinetobacter baumannii and Klebsiella pneumoniae are opportunistic pathogens frequently co-isolated from polymicrobial infections. The infections where these pathogens co-exist can be more severe and recalcitrant to therapy than infections caused by either species alone, however there is a lack of knowledge on their potential synergistic interactions. In this study we characterise the genomes of A. baumannii and K. pneumoniae strains co-isolated from a single human lung infection. We examine various aspects of their interactions through transcriptomic, phenomic and phenotypic assays that form a basis for understanding their effects on antimicrobial resistance and virulence during co-infection. Using co-culturing and analyses of secreted metabolites, we discover the ability of K. pneumoniae to cross-feed A. baumannii by-products of sugar fermentation. Minimum inhibitory concentration testing of mono- and co-cultures reveals the ability for A. baumannii to cross-protect K. pneumoniae against the cephalosporin, cefotaxime. Our study demonstrates distinct syntrophic interactions occur between A. baumannii and K. pneumoniae, helping to elucidate the basis for their co-existence in polymicrobial infections.
The natural pyrazolotriazine pseudoiodinine from Pseudomonas mosselii 923 inhibits plant bacterial and fungal pathogens
Authors: Yang Ruihuan , Shi Qing , Huang Tingting , Yan Yichao , Li Shengzhang , Fang Yuan , Li Ying , Liu Linlin , Liu Longyu , Wang Xiaozheng , Peng Yongzheng , Fan Jiangbo , Zou Lifang , Lin Shuangjun , Chen Gongyou 
Published: February 2023

AbstractNatural products largely produced by Pseudomonads-like soil-dwelling microorganisms are a consistent source of antimicrobial metabolites and pesticides. Herein we report the isolation of Pseudomonas mosselii strain 923 from rice rhizosphere soils of paddy fields, which specifically inhibit the growth of plant bacterial pathogens Xanthomonas species and the fungal pathogen Magnaporthe oryzae. The antimicrobial compound is purified and identified as pseudoiodinine using high-resolution mass spectra, nuclear magnetic resonance and single-crystal X-ray diffraction. Genome-wide random mutagenesis, transcriptome analysis and biochemical assays define the pseudoiodinine biosynthetic cluster as psdABCDEFG. Pseudoiodinine biosynthesis is proposed to initiate from guanosine triphosphate and 1,6-didesmethyltoxoflavin is a biosynthetic intermediate. Transposon mutagenesis indicate that GacA is the global regulator. Furthermore, two noncoding small RNAs, rsmY and rsmZ, positively regulate pseudoiodinine transcription, and the carbon storage regulators CsrA2 and CsrA3, which negatively regulate the expression of psdA. A 22.4-fold increase in pseudoiodinine production is achieved by optimizing the media used for fermentation, overexpressing the biosynthetic operon, and removing the CsrA binding sites. Both of the strain 923 and purified pseudoiodinine in planta inhibit the pathogens without affecting the rice host, suggesting that pseudoiodinine can be used to control plant diseases.
Metamaterial foundation for seismic wave attenuation for low and wide frequency band
Authors: Gupta Arpan , Sharma Rishabh , Thakur Aman , Gulia Preeti 
Published: February 2023

AbstractMetamaterials are periodic structures made by repeating a unit cell. Such a structure shows frequency-specific wave attenuation behaviour. In this work, a 2D metamaterial foundation is proposed for the seismic protection of buildings. The paramount challenge is to offer low frequency attenuation (~ 2–8 Hz), which is the dominant excitation during an earthquake. Based on the parametric study performed, a new type of metamaterial structure was proposed. It was found that the foundation consisting of repeating circular scatterers made of steel and plumbum embedded in rubber matrix can provide low and wide frequency wave attenuation from 2.6 to 7.8 Hz. The computational model of the structure was subjected to transient excitation against three pre-recorded earthquake excitations. The result showed that the novel foundation can resist the propagation of the seismic wave to the structure. Further, the response of a 2D building frame with metamaterial foundation was compared to a concrete foundation exposed to different earthquake excitations. The results are very promising as the frame vibration on the metamaterial foundation was significantly less than the same frame on the concrete foundation. The presented work opens the path to new research and development of seismic metamaterial foundation for earthquake attenuation.
Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021
Authors: Popov Igor V. , Ohlopkova Olesia V. , Donnik Irina M. , Zolotukhin Petr V. , Umanets Alexander , Golovin Sergey N. , Malinovkin Aleksey V. , Belanova Anna A. , Lipilkin Pavel V. , Lipilkina Tatyana A. , Popov Ilya V. , Logvinov Alexandr K. , Dubovitsky Nikita A. , Stolbunova Kristina A. , Sobolev Ivan A. , Alekseev Alexander Yu. , Shestopalov Alexander M. , Burkova Valentina N. , Chikindas Michael L. , Venema Koen , Ermakov Alexey M. 
Published: February 2023

AbstractCoronaviruses (CoVs) pose a huge threat to public health as emerging viruses. Bat-borne CoVs are especially unpredictable in their evolution due to some unique features of bat physiology boosting the rate of mutations in CoVs, which is already high by itself compared to other viruses. Among bats, a meta-analysis of overall CoVs epizootiology identified a nucleic acid observed prevalence of 9.8% (95% CI 8.7–10.9%). The main objectives of our study were to conduct a qPCR screening of CoVs’ prevalence in the insectivorous bat population of Fore-Caucasus and perform their characterization based on the metagenomic NGS of samples with detected CoV RNA. According to the qPCR screening, CoV RNA was detected in 5 samples, resulting in a 3.33% (95% CI 1.1–7.6%) prevalence of CoVs in bats from these studied locations. BetaCoVs reads were identified in raw metagenomic NGS data, however, detailed characterization was not possible due to relatively low RNA concentration in samples. Our results correspond to other studies, although a lower prevalence in qPCR studies was observed compared to other regions and countries. Further studies should require deeper metagenomic NGS investigation, as a supplementary method, which will allow detailed CoV characterization.
A report card approach to describe temporal and spatial trends in parameters for coastal seagrass habitats
Authors: Carter Alex B. , Coles Rob , Jarvis Jessie C. , Bryant Catherine V. , Smith Timothy M. , Rasheed Michael A. 
Published: February 2023

AbstractReport cards that are designed to monitor environmental trends have the potential to provide a powerful communication tool because they are easy to understand and accessible to the general public, scientists, managers and policy makers. Given this functionality, they are increasingly popular in marine ecosystem reporting. We describe a report card method for seagrass that incorporates spatial and temporal variability in three metrics—meadow area, species and biomass—developed using long-term (greater than 10 years) monitoring data. This framework summarises large amounts of spatially and temporally complex data to give a numeric score that provides reliable comparisons of seagrass condition in both persistent and naturally variable meadows. We provide an example of how this is applied to seagrass meadows in an industrial port in the Great Barrier Reef World Heritage Area of north-eastern Australia.
Recent advances in plant disease severity assessment using convolutional neural networks
Authors: Shi Tingting , Liu Yongmin , Zheng Xinying , Hu Kui , Huang Hao , Liu Hanlin , Huang Hongxu 
Published: February 2023

AbstractIn modern agricultural production, the severity of diseases is an important factor that directly affects the yield and quality of plants. In order to effectively monitor and control the entire production process of plants, not only the type of disease, but also the severity of the disease must be clarified. In recent years, deep learning for plant disease species identification has been widely used. In particular, the application of convolutional neural network (CNN) to plant disease images has made breakthrough progress. However, there are relatively few studies on disease severity assessment. The group first traced the prevailing views of existing disease researchers to provide criteria for grading the severity of plant diseases. Then, depending on the network architecture, this study outlined 16 studies on CNN-based plant disease severity assessment in terms of classical CNN frameworks, improved CNN architectures and CNN-based segmentation networks, and provided a detailed comparative analysis of the advantages and disadvantages of each. Common methods for acquiring datasets and performance evaluation metrics for CNN models were investigated. Finally, this study discussed the major challenges faced by CNN-based plant disease severity assessment methods in practical applications, and provided feasible research ideas and possible solutions to address these challenges.
Obesity and risk for its comorbidities diabetes, hypertension, and dyslipidemia in Japanese individuals aged 65 years
Authors: Yamada Tomoko , Kimura-Koyanagi Maki , Sakaguchi Kazuhiko , Ogawa Wataru , Tamori Yoshikazu 
Published: February 2023

AbstractDiabetes, hypertension, and dyslipidemia are obesity-related comorbidities that contribute to the development of cardiovascular disease, one of the leading causes of death. In addition to obesity, the underweight condition is a concern because it can give rise to sarcopenia, particularly after the age of 65 years. We examined the risk for diabetes, hypertension, and dyslipidemia due to obesity in individuals of this age. We retrospectively investigated the relation between obesity and its three major comorbidities in 10,852 individuals aged 65 years who underwent health checkups implemented by Kobe City between April 2017 and March 2021. The prevalence of diabetes, hypertension, and dyslipidemia with and without hyper-low-density lipoprotein-cholesterolemia was 9.7%, 41.0%, 63.8%, and 19.5%, respectively, and the prevalence of these conditions increased with increasing obesity. The risk for diabetes and hypertension was increased markedly (odds ratios of 12.95 and 19.44, respectively), and that for dyslipidemia with and without hyper-low-density lipoprotein-cholesterolemia was modestly increased (odds ratios of 2.59 and 3.65, respectively) at a BMI of ≥ 35 kg/m2 compared with normal weight. Analysis by gender revealed that the obesity-related risk for dyslipidemia with hyper-low-density lipoprotein-cholesterolemia was small compared with other comorbidities in women, while the risk for all comorbidities elevated similarly in men. Our results suggest the importance of public health intervention for obesity to suppress its comorbidities, especially diabetes and hypertension, at this age.
Estimation of process performance index for the two-parameter exponential distribution with measurement error
Authors: Li Yi , Chiang Jyun-You , Bai Yajie , Chai Kuang-Cheng 
Published: February 2023

AbstractMeasurement errors are inevitable in practice, but they are not considered in the existing process performance index. Therefore, we propose an estimation method of process performance index for the two-parameter exponential distribution with measurement errors to fill this gap. In this paper, the relationship between the unobservable actual value and measurement value is considered as full error model, and the maximum likelihood estimation method is considered to obtain the unknown parameters. In addition, we also use the Bootstrap method to construct confidence intervals of process performance index. The performance of the proposed estimation is investigated in terms of bias, mean square error (MSE) and average interval length. Simulation results show that the proposed estimator outperforms other estimators. Finally, an example of the mileage data of the military personnel carrier is given to illustrate the implementation of the proposed estimation method.
Chiral phosphoric acid-catalyzed enantioselective phosphinylation of 3,4-dihydroisoquinolines with diarylphosphine oxides
Authors: Guo Yongbiao , Li Ning , Li Junchen , Bi Xiaojing , Gao Zhenhua , Duan Ya-Nan , Xiao Junhua 
Published: February 2023

AbstractChiral phosphorous-containing compounds are playing a more and more significant role in several different research fields. Here, we show a chiral phosphoric acid-catalyzed enantioselective phosphinylation of 3,4-dihydroisoquinolines with diarylphosphine oxides for the efficient and practical construction of a family of chiral α-amino diarylphosphine oxides with a diverse range of functional groups. The phosphine products are suitable for transforming to several kinds of chiral (thio)ureas, which might be employed as chiral ligands or catalysts with potential applications in asymmetric catalysis. Control and NMR tracking experiments show that the reaction proceeds via the tert-butyl 1-(tert-butoxy)-3,4-dihydroiso-quinoline-2(1H)-carboxylate intermediate, followed by C-P bond formation. Furthermore, computational studies elucidated that the hydrogen bonding strength between the phosphonate and isoquinolinium determines the stereoselectivity of the phosphinylation reaction.
Titanium dioxide nanoparticles affect osteoblast-derived exosome cargos and impair osteogenic differentiation of human mesenchymal stem cells
Authors: de Souza Wanderson , Gemini-Piperni S. , Grenho Liliana , Rocha Luís A. , Granjeiro José M. , Melo Sonia A. , Fernandes Maria H. , Ribeiro Ana R. 
Published: February 2023

Titanium implants undergo tribocorrosion processes releasing particles that interact with several cells at the implant–bone interface. Osteoblasts-derived exosomal proteins reduce osteogenic differentiation of HMSCs contributing to joint failure.
Recognition of Sentences With Complex Syntax in Speech Babble by Adolescents With Normal Hearing or Cochlear Implants
Authors: Nittrouer Susan , Lowenstein Joanna H. 
Published: February 2023

Purpose:
General language abilities of children with cochlear implants have been thoroughly investigated, especially at young ages, but far less is known about how well they process language in real-world settings, especially in higher grades. This study addressed this gap in knowledge by examining recognition of sentences with complex syntactic structures in backgrounds of speech babble by adolescents with cochlear implants, and peers with normal hearing.

Design:
Two experiments were conducted. First, new materials were developed using young adults with normal hearing as the normative sample, creating a corpus of sentences with controlled, but complex syntactic structures presented in three kinds of babble that varied in voice gender and number of talkers. Second, recognition by adolescents with normal hearing or cochlear implants was examined for these new materials and for sentence materials used with these adolescents at younger ages. Analyses addressed three objectives: (1) to assess the stability of speech recognition across a multiyear age range, (2) to evaluate speech recognition of sentences with complex syntax in babble, and (3) to explore how bottom-up and top-down mechanisms account for performance under these conditions.

Results:
Results showed: (1) Recognition was stable across the ages of 10–14 years for both groups. (2) Adolescents with normal hearing performed similarly to young adults with normal hearing, showing effects of syntactic complexity and background babble; adolescents with cochlear implants showed poorer recognition overall, and diminished effects of both factors. (3) Top-down language and working memory primarily explained recognition for adolescents with normal hearing, but the bottom-up process of perceptual organization primarily explained recognition for adolescents with cochlear implants.

Conclusions:
Comprehension of language in real-world settings relies on different mechanisms for adolescents with cochlear implants than for adolescents with normal hearing. A novel finding was that perceptual organization is a critical factor.

Supplemental Material:

https://doi.org/10.23641/asha.21965228
COVID‐19 clinical medical relationship extraction based on MPNet
Authors: Qianmin Su , Wei Pan , Xiaoqiong Cai , Hongxing Ling , Jihan Huang 
Published: February 2023

AbstractWith the rapid development of biomedical research and information technology, the number of clinical medical literature has increased exponentially. At present, COVID‐19 clinical text research has some problems, such as lack of corpus and poor annotation quality. In clinical medical literature, there are many medical related semantic relationships between entities. After the task of entity recognition, how to further extract the relationships between entities efficiently and accurately becomes very critical. In this study, a COVID‐19 clinical trial data relationship extraction model based on deep learning method is proposed. The model adopts MPNet model, bidirectional‐GRU (BiGRU) network, MAtt mechanism and Conditional Random Field inference layer integration architecture and improves the problem that static word vector cannot represent ambiguity through pre‐trained language model. BiGRU network is used to replace the current Bi directional long short term memory structure and simplify the network structure of Long Short Term Memory to improve the training efficiency of the model. Through comparative experiments, the proposed method performs well in the COVID‐19 clinical text entity relation extraction task.
Efficient implementation of Gaussian process–based predictive control by quadratic programming
Authors: Polcz Péter , Péni Tamás , Tóth Roland 
Published: February 2023

AbstractThe paper addresses the problem of accelerating predictive control of non‐linear system models augmented with Gaussian processes (GP‐MPC). Due to the non‐linear and stochastic prediction model, predictive control of GP‐based models requires to solve a stochastic optimization problem. Different model simplification methods have to be applied to reformulate this problem to a deterministic, non‐linear optimization task that can be handled by a numerical solver. As these problems are still complex, especially with exact moment calculations, real‐time implementation of GP‐MPC is extremely challenging. The existing solutions accelerate the computations at the solver level by linearizing the non‐linear optimization problem and applying sequential convexification. In contrast, this paper proposes a novel GP‐MPC solution approach that without linearization formulates a series of surrogate quadratic programs (QP‐s) to iteratively obtain the solution of the original non‐linear optimization problem. The first step is embedding the non‐linear mean‐variance dynamics of the GP‐MPC prediction model in a linear parameter‐varying (LPV) structure and rewriting the constraints in parameter‐varying form. By fixing the scheduling trajectory at a known variation (based on previously computed or initial state‐input trajectories), optimization of the input sequence for the remaining varying linear model reduces to a linearly constrained quadratic program. After solving the QP, the non‐linear prediction model is simulated for the new control input sequence and new scheduling trajectories are updated. The procedure is iterated until the convergence of the scheduling, that is, the solution of the QP converges to the solution of the original non‐linear optimization problem. By designing a reference tracking controller for a 4DOF robot arm, we illustrate that the convergence is remarkably fast and the approach is computationally advantageous compared to current solutions. The proposed method enables the application of GP‐MPC algorithms even with exact moment matching on fast dynamical systems and requires only a QP solver.
Therapie der chronisch thromboembolischen pulmonalen Hypertonie
Authors: Wiedenroth Christoph B. , Mayer Eckhard , Guth Stefan 
Published: February 2023

ZusammenfassungDie chronisch thromboembolische pulmonale Hypertonie (CTEPH) ist eine wichtige und oft gut behandelbare Form der pulmonalen Hypertonie. Es stehen aktuell 3 Therapiemodalitäten zur
Verfügung: die pulmonale Endarteriektomie, die pulmonale Ballonangioplastie und die gezielte medikamentöse Behandlung. Das therapeutische Konzept hängt maßgeblich von der Lokalisation der
zugrunde liegenden pulmonalarteriellen fibrösen Obstruktionen ab. Die pulmonale Endarteriektomie ist der Goldstandard in der Behandlung der CTEPH. Für inoperable Patienten stehen
mittlerweile 2 zugelassene Substanzen (Riociguat und Treprostinil) zur Verfügung. Daneben wird bei Vorhandensein entsprechender Zielgebiete die interventionelle Therapie empfohlen.
Evaluation und Behandlung von CTEPH-Patienten sollte in entsprechend erfahrenen Zentren erfolgen.