bluuebunny/crossref_metadata_2025_split huggingface dataset:
Saving teeth: Revisited. Esthetic improvement and long‐term periodontal stability of a pathologic tooth migration case: An 84‐month follow‐up
Authors: Georgantza Aikaterini , Manasse Maryse , Tupinambá Rogerio , Nobrega Celestino , Pigliacelli Steven , Cheng Paul Yu Yung , Starace Jason , Palomo Leena 
Published: May 2023

AbstractIntroductionAdvances in implant dentistry, often influence our clinical treatment planning and steer us as periodontists from our fundamental values of preserving teeth. Pathologic tooth migration (PTM) of maxillary anterior teeth is a common sequela of periodontitis in patients and results in significant esthetic and functional problems. Patients’ growing concern about the esthetics of their teeth and their fears of losing teeth are often reasons for them to seek treatment. We commonly assign a hopeless prognosis to these pathologically migrated teeth because of the significant loss of periodontal support and go with the “safer” choice of replacing them with implants. The purpose of this case report is to present the long‐term (7‐year) periodontal stability of compromised teeth and to emphasize the successful outcomes achieved when orthodontics, non‐surgical periodontal, and restorative treatments are combined.Methods and ResultsA 38‐year‐old, otherwise healthy male with compromised function and esthetics, PTM, periodontal disease, and missing teeth presented to our clinic. Primary treatment objectives were to 1) eliminate the periodontal inflammation and 2) restore and stabilize the occlusion by employing non‐surgical periodontal treatment, adult orthodontics, and prosthodontics. Following interdisciplinary treatment, clinical and radiographic re‐evaluation revealed significant clinical attachment gain, reduction in tooth mobility, favorable esthetics, and better overall prognosis. At an 84‐month follow‐up, the patient was periodontally healthy and retained his natural dentition.ConclusionsInterdisciplinary collaboration along with patient compliance may increase the longevity of periodontally compromised teeth and improve esthetics for periodontitis patients who suffer from PTM. Such long‐term favorable outcomes reaffirm the value of classic periodontal treatment and the success of multidisciplinary treatment to save teeth as a viable alternative to the extraction of teeth and the placement of implant retained restorations.
Neuromarketing as a scale validation tool: Understanding individual differences based on the style of processing scale in affective judgements
Authors: Lin Meng‐Hsien (Jenny) , Jones William , Childers Terry L. 
Published: May 2023

AbstractThis paper revisits a well‐cited and widely applied consumer scale, Style of Processing (SOP) (Childers et al., Journal of Consumer Research, 1985, 12, 125), that has been used to investigate individual differences in processing visual versus verbal information in marketing. The scale has advanced knowledge in fields related to marketing communications, product development, psychology, advertising, education and learning theories, shedding light on our understanding of consumer psychology related to persuasion, comprehension, memory, and other consumer cognitive processes involving information. In a research dialog that took place in 2008, a need for further SOP validation was suggested using a neuromarketing approach. We took this call forward and conducted an event‐related‐potential (ERP) experimental research study using electroencephalogram (EEG) to validate the SOP scale, focusing on differential affective processing between verbalizers and visualizers. We not only demonstrate how neuromarketing tools can be utilized to provide evidence for scale validity, providing advantages over self‐reported measures; but more importantly, address issues related to understanding differential fluency effects that exist between visualizers and verbalizers. Behavioral data revealed varying reaction times to emotional stimuli of a pictorial nature. We further identify two ERP components in our data, early left anterior negativity (ELAN) and late negative slow wave (LNSW), that differentiate individual processing fluency in affective versus evaluative‐based judgements. Findings confirmed the construct validity of the SOP scale and enhance our understanding of individual differences in emotional processing of pictorial information.
Organocatalytic‐racemization reaction elucidation of aspartic acid by density functional theory
Authors: Watanabe Natsuki , Hori Yuta , Shoji Mitsuo , Boero Mauro , Shigeta Yasuteru 
Published: May 2023

AbstractAldehydes and carboxylic acids are widely used as catalysts for efficient racemization process of amino acids. However, the detailed reaction mechanism remains unclear. This work aims to clarify the racemization mechanism of aspartic acid (Asp) catalyzed by salicylaldehyde and acetic acid by using computational approaches. Density functional theory was used to obtain the structures and relative energies of 10 intermediates and five transition states, thus characterizing the main stages of the reaction. The calculated energy diagram shows that the dehydration step has the highest energy barrier, followed by the reaction step to change the chirality of Asp, which is a crucial process for racemization. In the dehydration reaction, water molecules can induce a remarkable decrease in the required energy.
Sustainability‐oriented innovations – Enhancing factors and consequences
Authors: Taneja Alpana , Goyal Vinay , Malik Kunjana 
Published: May 2023

AbstractThis study aims to explore internal firm factors that enhance sustainability‐oriented product and process innovations. Formulated on resource‐based theories and the Porter hypothesis, it further investigates the impact of these innovations on the economic performance of firms. Adopting a quantitative research methodology, the study uses partial least squares structural equation modelling on data collected from 251 middle to senior management employees working in manufacturing‐based consumer goods firms. Dynamic capabilities, sustainable organisational innovations and smart technologies are concluded as significant factors that enhance sustainability‐oriented innovations. A strong positive impact of sustainability‐oriented innovations on organisation's economic performance is established, with green competitive advantage playing a strong mediating role and green image as a weak mediating variable. Interesting insights are gained in action‐identity‐image relationships. A strong positive relationship is established between sustainability‐oriented innovations and green organisational identity. Green organisational identity further promotes green image through green commitment. The study provides managers insights on internal factors that encourage sustainable innovations and harness right opportunities to ensure economic success. The interplay between action, identity, and image provides policymakers right tools to frame appropriate strategies to create sustainability orientation. The study has limitations as it is cross sectional and hence fails to capture the dynamics over time and it uses subjective measures.
In vitro and in vivo metabolism of 3‐Methoxyeticyclidine in human liver microsomes, a zebrafish model, and two human urine samples based on liquid chromatography–high‐resolution mass spectrometry
Authors: Xu Linhao , Liu Xinze , Song Zixuan , Xiang Ping , Hang Taijun , Yan Hui 
Published: May 2023

Abstract3‐Methoxyeticyclidine (3‐MeO‐PCE), a phencyclidine‐type substance, has a higher N‐methyl‐D‐aspartate receptor binding affinity than phencyclidine and an involvement in fatal intoxication cases. The aim of this study was to identify new biomarkers and biotransformation pathways for 3‐MeO‐PCE. In vitro models were established using zebrafish and human liver microsomes for analysis of the phases I and II metabolites of 3‐MeO‐PCE by liquid chromatography–high‐resolution mass spectrometry. Urine samples of known 3‐MeO‐PCE consumers in forensic cases were then subjected to analysis. Overall, 14 metabolites were identified in zebrafish and human liver microsomes, allowing postulation of the following metabolic pathways: hydroxylation, O‐demethylation, N‐dealkylation, dehydrogenation, combination, and glucuronidation or sulfation. 3‐MeO‐PCE and three metabolites (M2, M3, and M6) were detected in urine. We recommended M2 (the hydroxylation product) as a potential biomarker for documenting 3‐MeO‐PCE intake in clinical and forensic cases.
Potential new species of pseudaliid lung nematode (Metastrongyloidea) from two stranded neonatal orcas (Orcinus orca) characterized by ITS‐2 and COI sequences
Authors: Lehnert Kristina , Boyi Joy Ometere , Siebert Ursula 
Published: May 2023

AbstractKnowledge about parasite species of orcas, their prevalence, and impact on the health status is scarce. Only two records of lungworm infections in orca exist from male neonatal orcas stranded in Germany and Norway. The nematodes were identified as Halocercus sp. (Pseudaliidae), which have been described in the respiratory tract of multiple odontocete species, but morphological identification to species level remained impossible due to the fragile structure and ambiguous morphological features. Pseudaliid nematodes (Metastrongyloidea) are specific to the respiratory tract of toothed whales and are hypothesized to have become almost extinct in terrestrial mammals. Severe lungworm infections can cause secondary bacterial infections and bronchopneumonia and are a common cause of mortality in odontocetes. DNA isolations and subsequent sequencing of the rDNA ITS‐2 and mtDNA COI revealed nucleotide differences between previously described Halocercus species from common dolphin (H. delphini) and harbor porpoises (H. invaginatus) that were comparatively analyzed, pointing toward a potentially new species of pseudaliid lungworm in orcas. New COI sequences of six additional metastrongyloid lungworms of seals and porpoises were derived to elucidate phylogenetic relationships and differences between nine species of Metastrongyloidea.
High‐performance computational homogenization of Stokes–Brinkman flow with an Anderson‐accelerated FFT method
Authors: Chen Yang 
Published: May 2023

AbstractFluid flow problems in bi‐porous media have strong implications in a variety of industrial applications, such as nuclear waste disposal and composites manufacturing. Despite various numerical solutions proposed in the literature, the prediction of dual‐scale flow remains a challenging task due to the requirement of fine meshes to resolve the complex microstructures of bi‐porous media. This paper introduces a new numerical solver based on fast Fourier transform (FFT) for the Stokes–Brinkman problem to predict fluid flow in bi‐porous media with local anisotropy. The novel FFT solver is derived from a velocity‐form of the problem, in contrast to the stress‐form proposed by a recent work. The Anderson acceleration technique is applied for the first time to the Stokes–Brinkman problem, leading to a substantial (orders of magnitude) improvement of the convergence rate. A range of detailed numerical examples are provided to validate the method against the analytical and literature results. Parametric studies are also demonstrated to aid in the selection of model parameters to achieve optimum numerical performance. With a 3D unit cell of a woven textile fabric, we demonstrate that the proposed method is capable of handling high‐resolution simulations with strongly heterogeneous microstructures. Combined with a parallelized implementation over high‐performance computing systems, our method demonstrates a new state‐of‐the‐art in numerical solvers for the Stokes‐Brinkman problem, in terms of computation capacity.
Associations between psychological resilience and metrics of white matter microstructure in pediatric concussion
Authors: Brown Olivier , Healey Katherine , Fang Zhuo , Zemek Roger , Smith Andra , Ledoux Andrée‐Anne 
Published: May 2023

AbstractThis study investigated associations between psychological resilience and characteristics of white matter microstructure in pediatric concussion. This is a case control study and a planned substudy of a larger randomized controlled trial. Children with an acute concussion or orthopedic injury were recruited from the emergency department. Participants completed both the Connor–Davidson Resilience Scale 10 and an MRI at 72 h and 4‐weeks post‐injury. The association between resiliency and fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) at both timepoints were examined. We examined whether these associations were moderated by group. The association between resiliency captured at 72 h and diffusion tensor imaging metrics at 4 weeks was also investigated. Clusters were extracted using a significance threshold of threshold‐free cluster enhancement corrected p < .05. A total of 66 children with concussion (median (IQR) age = 12.88 (IQR: 11.80–14.36); 47% female) and 29 children with orthopedic‐injury (median (IQR) age = 12.49 (IQR: 11.18–14.01); 41% female) were included. A negative correlation was identified in the concussion group between 72 h resilience and 72 h FA. Meanwhile, positive correlations were identified in the concussion group with concussion between 72 h resilience and both 72 h MD and 72 h RD. These findings suggest that 72 h resilience is associated with white matter microstructure of the forceps minor, superior longitudinal fasciculus, and anterior thalamic radiation at 72 h post‐concussion. Resilience seems to be associated with neural integrity only in the acute phase of concussion and thus may be considered when researching concussion recovery.
Characterization of an automated method to segment the human locus coeruleus
Authors: Sibahi Ahmad , Gandhi Rushali , Al‐Haddad Rami , Therriault Joseph , Pascoal Tharick , Chamoun Mira , Boutin‐Miller Krysta , Tardif Christine , Rosa‐Neto Pedro , Cassidy Clifford M. 
Published: May 2023

AbstractFollowing the development of magnetic resonance imaging (MRI) methods to assay the integrity of catecholamine nuclei, including the locus coeruleus (LC), there has been an effort to develop automated methods that can accurately segment this small structure in an automated manner to promote its widespread use and overcome limitations of manual segmentation. Here we characterize an automated LC segmentation approach (referred to as the funnel‐tip [FT] method) in healthy individuals and individuals with LC degeneration in the context of Alzheimer's disease (AD, confirmed with tau‐PET imaging using [18F]MK6240). The first sample included n = 190 individuals across the AD spectrum from cognitively normal to moderate AD. LC signal assayed with FT segmentation showed excellent agreement with manual segmentation (intraclass correlation coefficient [ICC] = 0.91). Compared to other methods, the FT method showed numerically higher correlation to AD status (defined by presence of tau: Cohen's d = 0.64) and AD severity (Braak stage: Pearson R = −.35, cognitive function: R = .25). In a separate sample of n = 12 control participants, the FT method showed excellent scan–rescan reliability (ICC = 0.82). In another sample of n = 30 control participants, we found that the structure of the LC defined by FT segmentation approximated its expected shape as a contiguous line: <5% of LC voxels strayed >1 voxel (0.69 mm) from this line. The FT LC segmentation shows high agreement with manual segmentation and captures LC degeneration in AD. This practical method may facilitate larger research studies of the human LC‐norepinephrine system and has potential to support future use of neuromelanin‐sensitive MRI as a clinical biomarker.
Reliability and acceptability of web‐based administration of Spanish ages and stages questionnaires third edition®
Authors: Schonhaut Luisa , Armijo Ivan , Rojas B. Paula , Cabrera Leonardo , Boisier Roberto 
Published: May 2023

Abstractto analyse the reliability of 6 age intervals of Spanish web‐based Ages and Stages Questionnaires Third Edition (WB‐ASQ‐3) and parents' acceptability, in a clinical practice context, during COVID‐19 pandemic and lockdown in Chile. Cross‐sectional study with a longitudinal component. Internal consistency was analysed by Cronbach's alpha and Pearson product–moment correlation, Pearson's correlations between intervals questionnaires were analysed. Acceptability was determined using a parental satisfaction survey. 1061 children completed 2318 validated questionnaires. Scores were compared with normative sample, except for Gross motor at 8 and 12 months, and Communication at 12, 18 and 24 months, without differences to the previous Chileans sample. In domain analysis, Cronbach's alpha ranged from 0.36 to 0.80 and reached 0.74 to 0.81 for the overall test. Strong positive correlation between the domain and overall score was obtained. Correlation between most questionnaires at different ages was positive and significant. Parental surveys show high satisfaction; parents were thankful for being able to monitor children's development. WB‐ASQ‐3 is a reliable and feasible screening system, particularly when the test is taken as a whole, rather than by domains. It is remarkably high acceptability among parents, especially in complex times such as the lockdown and the COVID‐19 pandemic.
Large‐scaled detection of COVID‐19 from X‐ray using transfer learning
Authors: Ibrahim Abdullahi Umar , Kibarer Ayse Gunnay , Al‐Turjman Fadi , Kaba Serife 
Published: May 2023

AbstractThe pandemic cause as a result of the outbreak of COVID‐19 disease continues to burden the healthcare system despite several interventions using vaccines and other preventive measures. Healthcare settings adopted the use of reverse transcription‐polymerase chain reaction (RT‐PCR) which is hampered by so many challenges such as miss‐diagnosis, false positive results, high cost, especially for those in remote and rural areas, the need for trained medical pathologists, the use of chemicals, and a lack of point‐of‐care detection. The use of radiographic images as an alternative or confirmatory approach has offered medical experts another option, but has some limitations, such as misinterpretation, and can be tedious for analyzing thousands of cases. In order to bridge this gap, we applied two AlexNet models for the classification of different types of pneumonia, including COVID‐19 using X‐ray. Considering the fact that the majority of articles in the literature reported binary classifications of radiographic images. This article utilizes X‐ray images for classification of COVID‐19, non‐COVID‐19 viral pneumonia, bacterial pneumonia, and normal cases using the AlexNet‐SoftMax classifier and the AlexNet‐SVM classifier. The research also evaluates performance based on 5k‐fold and 10k fold cross validation (CV). The results achieved in terms of accuracy, sensitivity, and specificity based on 70:30 partition, 5k, and 10k CV have shown that the models outperformed the majority of the state‐of‐the‐art deep learning architectures.
Ibuprofen in the Management of Viral Infections: The Lesson of COVID‐19 for Its Use in a Clinical Setting
Authors: Marcianò Gianmarco , Muraca Lucia , Rania Vincenzo , Gallelli Luca 
Published: May 2023

AbstractNonsteroidal anti‐inflammatory drugs (NSAIDs) are commonly used for the management of fever, pain, and inflammation. However, they have always been considered to have a double‐faced role, according to their capacity to manage inflammation but also their possible reduction of immune system response and diagnosis delay. This last point could favor a dramatic increase of viral infection diffusion, possibly leading to a more severe outcome. The advent of severe acute respiratory syndrome coronavirus 2 excluded the use of NSAIDs, particularly ibuprofen, and then indicated this drug as the better NSAID to manage infected outpatients and prevent complications. Several authors described the role of NSAIDs and ibuprofen in preventing cytokine storm and modulating the immune system. However, the development of both adverse drug reactions (i.e., gastrointestinal, renal, hepatic, and cardiovascular) and drug interaction recalled the necessity of prescribing the better NSAID for each patient. In this narrative review, we describe the role of NSAIDs, particularly of ibuprofen, in the management of viral symptoms, suggesting that the NSAID may be chosen considering the characteristics of the patient, the comorbidity, and the polytherapy.
Multiomics analysis of human peripheral blood reveals marked molecular profiling changes caused by one night of sleep deprivation
Authors: Chen Chongyang , Wang Jing , Yang Chao , Yu Haitao , Zhang Bingge , Yang Xiao , Xiong Bocheng , Xie Yongmei , Li Shupeng , Zhang Zaijun , Zhu Feiqi , Liu Jianjun , Liu Gong‐Ping , Yang Xifei 
Published: May 2023

AbstractSleep insufficiency is associated with various disorders; the molecular basis is unknown until now. Here, 14 males and 18 females were subjected to short‐term (24 h) sleep deprivation, and donated fasting blood samples prior to (day 1) and following (days 2 and 3) short‐term sleep deprivation. We used multiple omics techniques to examine changes in volunteers’ blood samples that were subjected to integrated, biochemical, transcriptomic, proteomic, and metabolomic analyses. Sleep deprivation caused marked molecular changes (46.4% transcript genes, 59.3% proteins, and 55.6% metabolites) that incompletely reversed by day 3. The immune system in particular neutrophil‐mediated processes associated with plasma superoxidase dismutase‐1 and S100A8 gene expression was markedly affected. Sleep deprivation decreased melatonin levels and increased immune cells, inflammatory factors and c‐reactive protein. By disease enrichment analysis, sleep deprivation induced signaling pathways for schizophrenia and neurodegenerative diseases enriched. In sum, this is the first multiomics approach to show that sleep deprivation causes prominent immune changes in humans, and clearly identified potential immune biomarkers associated with sleep deprivation. This study indicated that the blood profile following sleep disruption, such as may occur among shift workers, may induce immune and central nervous system dysfunction.
Rapid 3D T1 mapping using deep learning‐assisted Look‐Locker inversion recovery MRI
Authors: Pei Haoyang , Xia Ding , Xu Xiang , Yang Yang , Wang Yao , Liu Fang , Feng Li 
Published: May 2023

PurposeConventional 3D Look‐Locker inversion recovery (LLIR) T1 mapping requires multi‐repetition data acquisition to reconstruct images at different inversion times for T1 fitting. To ensure B1 robustness, sufficient time of delay (TD) is needed between repetitions, which prolongs scan time. This work proposes a novel deep learning‐assisted LLIR MRI approach for rapid 3D T1 mapping without TD.Theory and MethodsThe proposed approach is based on the fact that , the effective T1 in LLIR imaging, is independent of TD and can be estimated from both LLIR imaging with and without TD, while accurate conversion of to T1 requires TD. Therefore, deep learning can be used to learn the conversion of to T1, which eliminates the need for TD. This idea was implemented for inversion‐recovery‐prepared Golden‐angel RAdial Sparse Parallel T1 mapping (GraspT1). 39 GraspT1 datasets with a TD of 6 s (GraspT1‐TD6) were used for training, which also incorporates additional anatomical images. The trained network was applied for T1 estimation in 14 GraspT1 datasets without TD (GraspT1‐TD0). The robustness of the trained network was also tested.ResultsDeep learning‐based T1 estimation from GraspT1‐TD0 is accurate compared to the reference. Incorporation of additional anatomical images improves the accuracy of T1 estimation. The technique is also robust against slight variation in spatial resolution, imaging orientation and scanner platform.ConclusionOur approach eliminates the need for TD in 3D LLIR imaging without affecting the T1 estimation accuracy. It represents a novel use of deep learning towards more efficient and robust 3D LLIR T1 mapping.