bluuebunny/crossref_metadata_2025_split huggingface dataset:
Histological Examination of Lemongrass Resorbable Dressing on Gingival Healing after Gingivectomy in Rats
Authors: Amaliya Amaliya , Budhirahardjo Indri , Hendiani Ina 
Published: June 2022

Abstract
Objectives The present work aimed to evaluate the effect of lemongrass extract incorporated in a resorbable periodontal dressing on gingival wound healing microscopically, following gingivectomy in rats.
Materials and Methods Thirty healthy adult male Sprague–Dawley rats were used in this study. Gingivectomy was performed on anterior area of lower jaw in the labial surface of central incisive and, subsequently, wound areas were covered with povidone iodine gel (group P, positive control, n = 10), lemongrass resorbable dressing (group L, n = 10), and a cellulose-based dressing containing myrrh (group M, positive control, n = 10). Histological changes were monitored in days 4, 7, and 14 postsurgery to evaluate fibroblast and collagen deposition as repair stage of healing process.
Statistycal Analysis One-way analysis of variance (ANOVA) followed by Tukey's post hoc for multiple comparisons were employed to measure differences between pairs of means, p-value of 0.05 was considered statistically significant.
Results We observed significant difference repair parameters of the healing process between surgical sites treated with lemongrass periodontal dressing and control groups. Wounds treated with lemongrass dressing had greater fibroblast compared with control groups in 4 and 7 days after surgery (p ≤ 0.05).
Conclusion The results suggest positive potential therapeutic effects for this new formulation of periodontal dressing on acceleration of surgical wound healing that lead to improvement of periodontal treatment consequences following gingivectomy.
The Clinical Relevance of the Thalamogeniculate Arteries in Endoscopic Endonasal Surgery for Giant Pituitary Adenomas in the Interpeduncular Fossa
Authors: Pilonieta Martin , Pérez Paula , Prevedello Daniel M. 
Published: June 2022

AbstractBilateral thalamic stroke is usually due to compromised artery of Percheron, an anatomical variation of the vascular supply of the thalamus. The stroke in this area is very uncommon, and is mainly due to top of the basilar syndrome. Other causes are extremely rare. We describe the case of a patient with a pituitary adenoma who underwent surgery and later presented with a bilateral thalamic infarct, suggesting compromise of the artery of Percheron. This would be the third case published in the literature about this complication. We present a literature review about the vascular supply of the thalamus, the artery of Percheron, and its involvement in pituitary surgery.
Multisystem Inflammatory Syndrome in Children (MIS-C) with COVID-19: A Single-Center Experience
Authors: Kole Mehmet Tolga , Yükselmiş Ufuk , Genç Fatih Alparslan , Çağ Yakup , Esen Feyza Hüsrevoğlu , Pişmişoğlu Kemal , Karaaslan Ayşe , Çetin Ceren , Akin Yasemin 
Published: June 2022

Abstract
Objective Multisystem inflammatory syndrome in children (MIS-C) is a hyperinflammatory syndrome associated with multiorgan damage that occurs following coronavirus disease 2019 (COVID-19). Research on clinical and laboratory findings, and imaging studies, aiming to predict the progression to severe disease state is limited. This study recruited patients with MIS-C who presented with mild or severe symptoms from a single center in Turkey and evaluated factors related to their symptoms.
Methods This retrospective study included 25 pediatric patients with mild and severe presentations of MIS-C. We explored the differences in demographic and clinical data on clinical severity to understand their possible diagnostic and prognostic values.
Results Patients with MIS-C had cardiovascular symptoms (68%), gastrointestinal symptoms (64%), dermatologic/mucocutaneous findings (64%), lung involvement (36%), and neurological symptoms (16.0%). About 45.1% of patients with MIS-C had manifestations that overlapped with Kawasaki disease. Eleven patients (44%) were admitted to the intensive care unit, and one (4%) patient died. Grouping based on clinical severity did not differ statistically in terms of gender, age, height, weight, body mass index, and duration of hospital stay. Procalcitonin and ferritin levels correlated with disease severity. The receiver operating characteristic curve for D-dimer gave the highest value of area under the curve, among other biomarkers. The cutoff value for D-dimer was determined as more than 6780.
Conclusions Although COVID-19 is usually mild in children, some can be severely affected, and clinical severity in MIS-C can differ from mild to severe multisystem involvement. This study shows that procalcitonin, ferritin, and D-dimer levels may give us information about disease severity.
Regulation of electronic and optical properties of monolayer black phosphorus by co-doping B and Si
Authors: Qiao Rong , Dong Xiao , Li Yangfan 
Published: June 2022

The electronic and optical properties of B or Si single-doped phosphorene and ones of B and Si co-doped phosphorene are computed and compared by first-principles calculations. By B doping, the bandgap of phosphorene decreases from 0.92 to 0.65 eV, while Si doping directly changes the system from a direct bandgap semiconductor to metal. Compared with pristine phosphorene, the optical absorption of Si-doped phosphorene is red shifted. The optical absorption of black phosphorus can be regulated by changing the distance and position between B and Si. Therefore, bandgap engineering can be used to directly tune the optical absorption of the phosphorene system by the co-doping of B and Si.
What can Cantonese heritage speakers tell us about age of acquisition, linguistic dominance, and sociophonetic
variation?
Authors: Tse Holman 
Published: June 2022

Abstract
For many individuals, the first acquired language is also the linguistically dominant language, but what are the
implications for sociophonetic variation if the linguistically dominant language is a second acquired childhood language, as
is the case for many heritage speakers? This chapter addresses two correlates of linguistic dominance on the production of
L2-influenced vowels in heritage Cantonese sociolinguistic interview data. Results show that Cantonese Production Score (CPS),
an externally measured proficiency proxy, is consistently a better predictor than Ethnic Orientation (a self-reported identity
metric) in accounting for speakers who are most likely to produce English influenced vowels. While a distinction between child
vs. adult language acquisition remains important, these results highlight linguistic dominance as an interacting factor in
sociophonetic variation.
Linguistic variation and second language Spanish
Authors: Geeslin Kimberly L. , Fafulas Stephen 
Published: June 2022

Abstract
Research on progressive and habitual aspectual marking in Spanish provides a productive test case for second
language variation research. In Spanish, two forms can be used to reference ongoing action at speech time (simple present and
present progressive) while English predominantly makes use of the present progressive (Torres Cacoullos 2000). Nevertheless, the patterns of use and their acquisition are complex. One key difference
for advanced non-natives (as compared to natives) is related to the range of lexical bases (e.g., estar ‘to
be,’ andar ‘to walk,’ venir ‘to come,’ etc.) that form the progressive (Fafulas 2015). Additionally, the alternation between the simple present and the
progressive is conditioned by a host of linguistic factors, such as lexical aspect, the presence of an adverb, clause type,
and animacy, among others (Geeslin & Fafulas 2012). Finally, differences exist
between these same two forms cross-linguistically for habitual aspectual marking such that the simple present is more likely
to occur in English in habitual contexts than in Spanish and this constitutes another context for these variable forms (Fafulas 2012). Thus, the predictions for English-speaking learners are highly
context-dependent.
The present study uses a written contextualized task designed to examine patterns of selection across the
categories of lexical aspect (e.g., activities, statives, etc.) in combination with the influence that the presence or absence
of adverbial phrases may have. We employ a cross-sectional design, collecting data from learners from multiple levels of
enrollment, and compare these to native speakers of Spanish and to native speakers of English (tested in English). Our
analysis provides an account of the patterns attested in English, in Spanish, and across levels of second language Spanish
development.
Variation, identity and language attitudes
Authors: Regan Vera 
Published: June 2022

Abstract
This chapter examines migrants’ use of French L2, analysing the speech of ten L1 Polish speakers, thirty to sixty
years, in a naturalistic setting. Using informal conversations, this study focuses on L1 variation patterns; specifically
ne deletion, a sensitive and powerful indicator of social issues, using Rbrul. The data permit comparison
of use of the same sociolinguistic variable by L2 speakers from two different L1 typological groups: Polish and English. The
analysis showed the migrants broadly adopt L1 speech patterns, constraint ordering, and frequently even rates (as had the more
formal L1 English learners) with universalistic implications for sociolinguistic variation acquisition. However, two couples
are ‘outliers.’ Qualitative analysis indicates that differences in the speech of these two couples relate to language
attitudes and ideology and suggests language ideology plays an important role in L2 acquisition and use. Complementary
quantitative and qualitative analyses reveal aspects of L2 acquisition, which, separately, might not have been captured.
Sociostylistic variation in L2 French
Authors: Kennedy Terry Kristen 
Published: June 2022

Abstract
Using a mixed-effects model and sociolinguistic interviews, this study provides empirical evidence for the
emergence of targetlike patterns of phonological variation in L2 French learners during study abroad. Specifically, this study
examines the acquisition of a phonological variable demonstrating sociostylistic variation in L1 speech: variable schwa
deletion in clitics (/ə/ realized as [œ] or null, as in tu me dis [ty mœ di] ~ [tym di] ‘you
tell me’). Results demonstrate that variation patterns of L2 French learners are conditioned by the phonological context of
the clitic and that acquisition of variation follows a predictable order based on clitic type. Results also demonstrate that
time spent abroad and social networks with native speakers are significant predictors of L2 variation patterns.
A long‐duration race induces a decrease of left ventricular strains, twisting mechanics and myocardial work in trained adolescents
Authors: Birat Anthony , Ratel Sébastien , Dodu Alexandre , Grossoeuvre Claire , Dupont Anne‐Charlotte , Rance Mélanie , Morel Claire , Nottin Stéphane 
Published: June 2022

ABSTRACTWe investigated the acute cardiac consequences of a long‐duration (>5 h) adventure race in adolescent athletes from evaluations of left ventricular (LV) strains and myocardial work. Twenty trained male adolescents (i.e. 8 ± 4 h·week−1 of endurance sports) aged 14–17 years participated in a competitive long‐duration adventure race. Blood samples were collected before, immediately and 24 h after the race to determine the time course of troponin I (cTnI) considered a myocardial damage biomarker. Resting echocardiography was conducted before and after the race to assess myocardial regional strains, LV twisting mechanics and myocardial work using speckle tracking echocardiography. The mean completion time of the race was 05:38 ± 00:20 h, with a mean heart rate (HR) of 83 ± 5% of maximal HR. cTnI concentration significantly increased in 16/20 participants after the race (pre: 0.001 ± 0.002 vs. post: 0.244 ± 0.203 ng·dL−1, p < .001) and returned to baseline within 24 h. Stroke volume, ejection fraction and global longitudinal strains remained unchanged after the race, while LV twist and global myocardial work significantly decreased (8.6 ± 3.3 vs. 6.3 ± 3.3 deg and 2080 ± 250 vs. 1781 ± 334 mmHg%, p < .05). Diastolic function, indexes of myocardial relaxation and LV untwisting rate (−91.0 ± 19.0 vs. −56.4 ± 29.1 deg·s−1, p < .001) were affected after the race. We demonstrated that in trained adolescents, a high‐intensity endurance exercise of several hours induced an increase of the cTnI concentration associated with an alteration of myocardial function.
Facile photochemical reduction synthesis of bimetallic Au and Pd nanoparticles on ZnO nanorods for improved photocatalytic degradation of methylene blue
Authors: Syampurwadi Anung , Primadona Indah , Fauzia Vivi 
Published: June 2022

Abstract
Using a nanocomposite of ZnO with noble metal nanoparticles (NPs) is a promising way to suppress the rate of recombination between electrons and holes, as this limits the photocatalytic performance of ZnO. Bimetallic NPs offer new properties that are different from their constituent monometallic NPs and are easily deposited on the ZnO surface through various methods. In this work, bimetallic Au and Pd NPs nanoclusters were deposited on ZnO nanorods (NR) growing on a glass substrate by a facile photochemical reduction method using a solar simulator (100 mW cm−2) at room temperature. The highest photocatalytic performance under ultraviolet light was achieved using ZnO/Pd and ZnO/AuPd photocatalysts, due to the localised surface plasmon resonance (LSPR) effect of Pd NPs and its role in reducing the recombination center and adsorption of oxygen molecules. Under simulated solar light, the performance of ZnO/Au and ZnO/PdAu was equivalent to that of ZnO/Pd and ZnO/AuPd nanocomposites due to the addition of the LSPR effect of Au NPs that worked effectively in the visible light region.
Trends and innovations in photovoltaic operations and maintenance
Authors: Oviedo Hernandez G , Godinho Ariolli D M , Enriquez Paez P S , Chiantore P V 
Published: June 2022

Abstract
This review work presents an overview of the innovations shaping today’s photovoltaic (PV) operations and maintenance sector by summarising literature and current research. After a brief introduction to the market dynamics and state-of-the-art best practices, relevant insights are provided into emerging fields and key research directions are identified, such as the adaptation and application of the building information modelling concept and digital twins, which are topics already proven to help other industries to render processes more efficient, reduce costs and risks throughout the entire lifecycle of a project. Moreover, it explores new approaches on Supervisory Control and Data Acquisition architectures for remote monitoring of PV assets, highlighting the promising role of 5G wireless technologies such as Narrow Band Internet of things. Finally, concerned about the growing amount of PV waste due to the exponential growth of installed capacity on a global scale, this article covers relevant Circular Economy approaches being adapted to PV, pointing out the most significant research and development efforts that are pushing towards a more sustainable, environmentally friendly and economically viable end of life management for modules and balance of system.
Discovery of pan-cancer related genes via integrative network analysis
Authors: Zhu Yuan , Zhang Houwang , Yang Yuanhang , Zhang Chaoyang , Ou-Yang Le , Bai Litai , Deng Minghua , Yi Ming , Liu Song , Wang Chao 
Published: June 2022

AbstractIdentification of cancer-related genes is helpful for understanding the pathogenesis of cancer, developing targeted drugs and creating new diagnostic and therapeutic methods. Considering the complexity of the biological laboratory methods, many network-based methods have been proposed to identify cancer-related genes at the global perspective with the increasing availability of high-throughput data. Some studies have focused on the tissue-specific cancer networks. However, cancers from different tissues may share common features, and those methods may ignore the differences and similarities across cancers during the establishment of modeling. In this work, in order to make full use of global information of the network, we first establish the pan-cancer network via differential network algorithm, which not only contains heterogeneous data across multiple cancer types but also contains heterogeneous data between tumor samples and normal samples. Second, the node representation vectors are learned by network embedding. In contrast to ranking analysis-based methods, with the help of integrative network analysis, we transform the cancer-related gene identification problem into a binary classification problem. The final results are obtained via ensemble classification. We further applied these methods to the most commonly used gene expression data involving six tissue-specific cancer types. As a result, an integrative pan-cancer network and several biologically meaningful results were obtained. As examples, nine genes were ultimately identified as potential pan-cancer-related genes. Most of these genes have been reported in published studies, thus showing our method’s potential for application in identifying driver gene candidates for further biological experimental verification.
RegEl corpus: identifying DNA regulatory elements in the scientific literature
Authors: Garda Samuele , Lenihan-Geels Freyda , Proft Sebastian , Hochmuth Stefanie , Schülke Markus , Seelow Dominik , Leser Ulf 
Published: June 2022

AbstractHigh-throughput technologies led to the generation of a wealth of data on regulatory DNA elements in the human genome. However, results from disease-driven studies are primarily shared in textual form as scientific articles. Information extraction (IE) algorithms allow this information to be (semi-)automatically accessed. Their development, however, is dependent on the availability of annotated corpora. Therefore, we introduce RegEl (Regulatory Elements), the first freely available corpus annotated with regulatory DNA elements comprising 305 PubMed abstracts for a total of 2690 sentences. We focus on enhancers, promoters and transcription factor binding sites. Three annotators worked in two stages, achieving an overall 0.73 F1 inter-annotator agreement and 0.46 for regulatory elements. Depending on the entity type, IE baselines reach F1-scores of 0.48–0.91 for entity detection and 0.71–0.88 for entity normalization. Next, we apply our entity detection models to the entire PubMed collection and extract co-occurrences of genes or diseases with regulatory elements. This generates large collections of regulatory elements associated with 137 870 unique genes and 7420 diseases, which we make openly available.Database URL: https://zenodo.org/record/6418451#.YqcLHvexVqg
Robust prestack seismic facies analysis using shearlet transform-based deep learning
Authors: Liu Pu , Li Rui , Yue Yuehua , Liao Songjie , Qian Feng 
Published: June 2022

Abstract
One of the primary purposes of seismic stratigraphy is to evaluate the components of seismic layer relationships within a depositional chronology. Prestack seismic images contain a wealth of information, such as variations in the offset and azimuth of a seismic event, and naturally produce higher-resolution seismic facies analysis results than poststack data. However, prestack data usually suffer from potential unreliability issues due to low signal-to-noise ratios. As this is often overlooked, the present facies analysis methods sometimes fail to extract accurate features from prestack images, which inevitably influences the facies analysis results. To address this issue, this article provides a robust data-driven technique for extracting offset-temporal features via shearlet transform-based deep convolution autoencoders (STCAEs). Unlike the present facies analysis in the time domain, STCAE can optimally represent prestack images at multiple scales and directions through the two-dimensional shearlet transform, which preserves fine edges while suppressing noise in prestack images. Subsequently, robust features are extracted from prestack images in a data-driven manner through a contractive convolutional autoencoder network. We compare our method with other advanced methods and demonstrate the advantages of the proposed approach in classifying seismic layers in prestack data.
What the harm principle says about vaccination and healthcare rationing
Authors: Robertson Christopher 
Published: June 2022

Abstract
Clinical ethicists hold near consensus on the view that healthcare should be provided regardless of patients’ past behaviors. In classic cases, the consensus can be explained by two key rationales—a lack of acute scarcity and the intractability of the facts around those behaviors, which make discrimination on past behavior gratuitous and infeasible to do fairly. Healthcare providers have a duty to help those who can be helped. In contrast, the COVID-19 pandemic suggests the possible recurrence of a very different situation, where a foreseeable acute shortage of healthcare resources means that some cannot be helped. And that shortage is exacerbated by the discrete decision of some to decline a free, safe, and highly effective vaccine, where the facts are clear. In such a future case, if healthcare must be denied to some patients, rationers who ignore vaccination status will become complicit in externalizing the consequences of refusing vaccination onto those who did not refuse. I argue that giving the unvaccinated person healthcare resources that would have otherwise gone to other patients is to wrongfully set back the interests of, or harm, those patients. The article considers rejoinders around the voluntariness of the vaccination choice, which impinges both access and information, and how to scale this criterion proportionally with other rationing criteria that serve utility. Ultimately, the article speculates on why there will be some cognitive dissonance under this approach, while upholding a more general solidarity with and concern for all those seeking healthcare.
Nanotechnology for the management of COVID-19 during the pandemic and in the post-pandemic era
Authors: Xu Chun , Lei Chang , Hosseinpour Sepanta , Ivanovski Saso , Walsh Laurence J , Khademhosseini Ali 
Published: June 2022

AbstractFollowing the global COVID-19 pandemic, nanotechnology has been at the forefront of research efforts and enables the fast development of diagnostic tools, vaccines and antiviral treatment for this novel virus (SARS-CoV-2). In this review, we first summarize nanotechnology with regard to the detection of SARS-CoV-2, including nanoparticle-based techniques such as rapid antigen testing, and nanopore-based sequencing and sensing techniques. Then we investigate nanotechnology as it applies to the development of COVID-19 vaccines and anti-SARS-CoV-2 nanomaterials. We also highlight nanotechnology for the post-pandemic era, by providing tools for the battle with SARS-CoV-2 variants and for enhancing the global distribution of vaccines. Nanotechnology not only contributes to the management of the ongoing COVID-19 pandemic but also provides platforms for the prevention, rapid diagnosis, vaccines and antiviral drugs of possible future virus outbreaks.