bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cross-sectional study on the association of periodontitis with arterial hypertension in the Hamburg City Health Study
Authors: Könnecke Henrieke , Schnabel Renate B. , Walther Carolin , Lamprecht Ragna , Heydecke Guido , Seedorf Udo , Jagodzinski Annika , Borof Katrin , Zeller Tanja , Beikler Thomas , Smeets Ralf , Gosau Martin , Behrendt Christian-Alexander , Wenzel Ulrich , Börschel Christin S. , Karakas Mahir , Blankenberg Stefan , Aarabi Ghazal 
Published: September 2022

Abstract
Aim
Aim of this study was to investigate the association between periodontitis and arterial hypertension, both of which show correlations with classical cardiovascular risk factors and inflammatory activity.

Materials and methods
A cross-sectional analysis of data from a large population-based health survey (the Hamburg City Health Study, HCHS) including 5934 participants with complete periodontal examination and blood pressure data, of whom 5735 had medical records regarding anti-hypertensive medication, was performed. Probing depths, gingival recessions, bleeding on probing (BOP), dental plaque, and decayed-missing-filled teeth (DMFT) indices were recorded as measures of oral health. Clinical attachment loss (CAL) per tooth was calculated and periodontitis was staged into three groups (no/mild, moderate, severe). Arterial hypertension was diagnosed based on the participants’ medication history and systolic and diastolic blood pressure values. Logistic regression models were constructed accounting for a set of potential confounders (age, sex, smoking, body mass index (BMI), diabetes, educational level, alcohol intake) and high sensitivity-C-reactive protein (hsCRP).

Results
The odds of arterial hypertension increased significantly along with periodontitis severity (OR for severe periodontitis: 2.19; 95% CI 1.85–2.59; p < 0.001; OR for moderate periodontitis: 1.65; 95% CI 1.45–1.87; p < 0.001). Participants with moderate or severe periodontitis also had significantly higher age- and sex-adjusted odds of arterial hypertension, which was slightly weakened when additionally adjusted for BMI, diabetes, smoking, educational level, and alcohol intake (OR for severe PD: 1.28, 95% CI 1.04–1.59, p = 0.02; OR for moderate PD: 1.30, 95% CI 1.11–1.52, p = 0.001). The fraction of participants with undertreated hypertension (untreated and poorly controlled hypertension) was considerably larger in participants with severe periodontitis than in those with no/mild periodontitis (50.1% vs. 37.4% for no/mild periodontitis).

Conclusions
The study shows an association between periodontitis and arterial hypertension that is independent of age, sex, diabetes, BMI, smoking, educational level, and alcohol intake. In addition, undertreatment of hypertension was more common in people with severe periodontitis compared with periodontally more healthy people.
Ethical challenges in mass drug administration for reducing childhood mortality: a qualitative study
Authors: Alasmar Ahmed , Kong Alex C. , So Anthony D. , DeCamp Matthew 
Published: September 2022

Abstract
Background
Mass drug administration (MDA) of medications to entire at-risk communities or populations has shown promise in the control and elimination of global infectious diseases. MDA of the broad-spectrum antibiotic azithromycin has demonstrated the potential to reduce childhood mortality in children at risk of premature death in some global settings. However, MDA of antibiotics raises complex ethical challenges, including weighing near-term benefits against longer-term risks—particularly the development of antimicrobial resistance that could diminish antibiotic effectiveness for current or future generations. The aim of this study was to understand how key actors involved in MDA perceive the ethical challenges of MDA.

Methods
We conducted 35 semi-structured interviews from December 2020–February 2022 with investigators, funders, bioethicists, research ethics committee members, industry representatives, and others from both high-income countries (HICs) and low- and middle-income countries (LMICs). Interview participants were identified via one of seven MDA studies purposively chosen to represent diversity in terms of use of the antibiotic azithromycin; use of a primary mortality endpoint; and whether the study occurred in a high child mortality country. Data were analyzed using constructivist grounded theory methodology.

Results
The most frequently discussed ethical challenges related to meaningful community engagement, how to weigh risks and benefits, and the need to target MDA We developed a concept map of how participants considered ethical issues in MDA for child mortality; it emphasizes MDA’s place alongside other public health interventions, empowerment, and equity. Concerns over an ethical double standard in weighing risks and benefits emerged as a unifying theme, albeit one that participants interpreted in radically different ways. Some thought MDA for reducing child mortality was ethically obligatory; others suggested it was impermissible.

Conclusions
Ethical challenges raised by MDA of antibiotics for childhood mortality—which span socio-cultural issues, the environment, and effects on future generations—require consideration beyond traditional clinical trial review. The appropriate role of MDA also requires attention to concerns over ethical double standards and power dynamics in global health that affect how we view antibiotic use in HICs versus LMICs. Our findings suggest the need to develop additional, comprehensive guidance on managing ethical challenges in MDA.

Graphical Abstract
Phosphorylation of β-catenin at Serine552 correlates with invasion and recurrence of non-functioning pituitary neuroendocrine tumours
Authors: Rai Ashutosh , Yelamanchi Soujanya D. , Radotra Bishan D. , Gupta Sunil K. , Mukherjee Kanchan K. , Tripathi Manjul , Chhabra Rajesh , Ahuja Chirag K. , Kumar Narendra , Pandey Akhilesh , Korbonits Márta , Dutta Pinaki , Gaston-Massuet Carles 
Published: September 2022

AbstractNon-functioning pituitary tumours (NF-PitNETs) are common intracranial benign neoplasms that can exhibit aggressive behaviour by invading neighbouring structures and, in some cases, have multiple recurrences. Despite resulting in severe co-morbidities, no predictive biomarkers of recurrence have been identified for NF-PitNETs. In this study we have used high-throughput mass spectrometry-based analysis to examine the phosphorylation pattern of different subsets of NF-PitNETs. Based on histopathological, radiological, surgical and clinical features, we have grouped NF-PitNETs into non-invasive, invasive, and recurrent disease groups. Tumour recurrence was determined based on regular clinical and radiological data of patients for a mean follow-up of 10 years (SD ± 5.4 years). Phosphoproteomic analyses identified a unique phosphopeptide enrichment pattern which correlates with disease recurrence. Candidate phosphorylated proteins were validated in a large cohort of NF-PitNET patients by western blot and immunohistochemistry. We identified a cluster of 22 phosphopeptides upregulated in recurrent NF-PitNETs compared to non-invasive and invasive subgroups. We reveal significant phosphorylation of the β-catenin at Ser552 in recurrent and invasive NF-PitNETs, compared to non-invasive/non-recurrent NF-PitNET subgroup. Moreover, β-catenin pSer552 correlates with the recurrence free survival among 200 patients with NF-PitNET. Together, our results suggest that the phosphorylation status of β-catenin at Ser552 could act as potential biomarker of tumour recurrence in NF-PitNETs.
Histopathological effects of methomyl and crude extracts of Jatropha curcas against the terrestrial snail, Monacha obstructa (Gastropoda:Hygromiidae)
Authors: Ibrahim Hesham Ahmed Metwaly , El-Mesalamy Anas Farag , Baghdadi Saudi Abd El-Wahab Sayed , Elhanbaly Ruwaida 
Published: September 2022

Abstract
Background
The negative effect of over-reliance on the use of synthetic pesticides have led to the search for natural alternatives to pest control. This study was designed to evaluate the toxicity effect of the crude plant extracts of Jatropha (Jatropha curcas Linn.) seeds in comparison with methomyl on some histopathological changes of the terrestrial snail species Monacha obstructa (Pfeiffer, 1842). The toxicity effect of methomyl and crude extracts of ethanol and acetone extracts of Jatropha curcas seeds were determined on some histological changes of the land snail, Monacha obstructa at four concentrations using the contact technique under laboratory conditions.

Results
The results revealed that the crude extracts of Jatropha exhibited obvious adequate effects compared with methomyl against M. obstructa land snails. The highest toxicity effects were obtained by methomyl followed by the ethanolic extract of Jatropha and hexane extract of Jatropha. The histopathological effect of LC50 of Jatropha crude extract and methomyl on the digestive gland and foot tissues were examined in the land snails M. obstructa. The treated snails showed several histological changes in the digestive gland and foot compared with the control group snails. The histological examinations of the digestive tubules included destroyed and detached in the outer layer covering digestive tubules. In addition, marked increase in the width most of the digestive tubules lumen. The intertubular connective tissue between the digestive tubules showed great destruction, while the foot of treated snails showed rupture of the epithelium covering the foot and desquamation of the epithelium. We also observed the presence of areas of connective tissue necrosis and destruction of the muscular tissue.

Conclusions
It has been found that extracts of Jatropha seeds have a toxic activity that caused histopathological damage that led to the death of land snails, and thus it can be recommended as a source for the development of molluscicides.

Graphical Abstract
Effects of pyroligneous acid as silage additive on fermentation quality and bacterial community structure of waste sugarcane tops
Authors: Wu Shuo , Wang Cheng , Chen Dandan , Zhou Wei , Chen Xiaoyang , Wang Mingya , Zhang Qing 
Published: September 2022

AbstractThis article intends to improve the recycling of waste sugarcane (Saccharum officinarum) tops and the value-added utilization of pyroligneous acid. Fresh sugarcane tops can be used by ruminants, but they are prone to dehydration and mildew during storage, reducing their feeding value. Pyroligneous acid, a by-product in the process of making biochar, has good antibacterial effects. Adding pyroligneous acid to sugarcane tops for silage fermentation may be an effective way to promote the recycling of sugarcane tops. Thus, the fermentation quality and bacterial community of sugarcane tops ensiled with or without 1–2% pyroligneous acid for 5, 10, 20, or 100 days were investigated. Results showed that pyroligneous acid increased the acetic acid content and reduced ammonia-N concentration, and numbers of coliform bacteria and molds in sugarcane tops silages. On the other hand, the addition of pyroligneous acid decreased the diversity of bacteria in sugarcane-top silage. Pyroligneous acid decreased Firmicutes and Leuconostoc relative abundances while increasing Lactobacillus relative abundances. Fermentation was also limited by the addition of pyroligneous acid, which reduced metabolic activities during ensiling.
Graphical abstract
Kalmag: a high spatio-temporal model of the geomagnetic field
Authors: Baerenzung Julien , Holschneider Matthias , Saynisch-Wagner Jan , Thomas Maik 
Published: September 2022

Abstract
We present the extension of the Kalmag model, proposed as a candidate for IGRF-13, to the twentieth century. The dataset serving its derivation has been complemented by new measurements coming from satellites, ground-based observatories and land, marine and airborne surveys. As its predecessor, this version is derived from a combination of a Kalman filter and a smoothing algorithm, providing mean models and associated uncertainties. These quantities permit a precise estimation of locations where mean solutions can be considered as reliable or not. The temporal resolution of the core field and the secular variation was set to 0.1 year over the 122 years the model is spanning. Nevertheless, it can be shown through ensembles a posteriori sampled, that this resolution can be effectively achieved only by a limited amount of spatial scales and during certain time periods. Unsurprisingly, highest accuracy in both space and time of the core field and the secular variation is achieved during the CHAMP and Swarm era. In this version of Kalmag, a particular effort was made for resolving the small-scale lithospheric field. Under specific statistical assumptions, the latter was modeled up to spherical harmonic degree and order 1000, and signal from both satellite and survey measurements contributed to its development. External and induced fields were jointly estimated with the rest of the model. We show that their large scales could be accurately extracted from direct measurements whenever the latter exhibit a sufficiently high temporal coverage. Temporally resolving these fields down to 3 hours during the CHAMP and Swarm missions, gave us access to the link between induced and magnetospheric fields. In particular, the period dependence of the driving signal on the induced one could be directly observed. The model is available through various physical and statistical quantities on a dedicated website at https://ionocovar.agnld.uni-potsdam.de/Kalmag/.

Graphical abstract
Epilepsy seizure prediction with few-shot learning method
Authors: Nazari Jamal , Motie Nasrabadi Ali , Menhaj Mohammad Bagher , Raiesdana Somayeh 
Published: September 2022

AbstractEpileptic seizures prediction and timely alarms allow the patient to take effective and preventive actions. In this paper, a convolutional neural network (CNN) is proposed to diagnose the preictal period. Our goal is for those epileptic patients in whom seizures occur late and it is very challenging to record the preictal signal for them. In the previous works, generalized methods were inevitably used for this group of patients which were not very accurate. Our approach to solve this problem is to provide a few-shot learning method. This method, having the previous knowledge, is trained with only a small number of samples, learns new tasks and reduces the efforts to collect more data. Evaluation results for three patients from the CHB–MIT database, for a 10-min seizure prediction horizon (SPH) and a 20-min seizure occurrence period (SOP), averaged sensitivity of 95.70% and a false prediction rate (FPR) of 0.057/h and for the 5-min prediction horizon and the 25-min seizure occurrence period averaged sensitivity of 98.52% and a false prediction rate of (FPR) of 0.045/h. The proposed few-shot learning method, based on previous knowledge gained from the generalizable method, is regulated with a few new patient samples for the patient. Our results show that the accuracy obtained in this method is higher than the generalizable methods.
RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing
Authors: Georgiadis Kostas , Kalaganis Fotis P. , Oikonomou Vangelis P. , Nikolopoulos Spiros , Laskaris Nikos A. , Kompatsiaris Ioannis 
Published: September 2022

AbstractNeuromarketing exploits neuroimaging techniques so as to reinforce the predictive power of conventional marketing tools, like questionnaires and focus groups. Electroencephalography (EEG) is the most commonly encountered neuroimaging technique due to its non-invasiveness, low-cost, and its very recent embedding in wearable devices. The transcription of brainwave patterns to consumer attitude is supported by various signal descriptors, while the quest for profitable novel ways is still an open research question. Here, we suggest the use of sample covariance matrices as alternative descriptors, that encapsulate the coordinated neural activity from distinct brain areas, and the adoption of Riemannian geometry for their handling. We first establish the suitability of Riemannian approach for neuromarketing-related problems and then suggest a relevant decoding scheme for predicting consumers’ choices (e.g., willing to buy or not a specific product). Since the decision-making process involves the concurrent interaction of various cognitive processes and consequently of distinct brain rhythms, the proposed decoder takes the form of an ensemble classifier that builds upon a multi-view perspective, with each view dedicated to a specific frequency band. Adopting a standard machine learning procedure, and using a set of trials (training data) in conjunction with the associated behavior labels (“buy”/ “not buy”), we train a battery of classifiers accordingly. Each classifier is designed to operate in the space recovered from the inter-trial distances of SCMs and to cast a rhythm-depended decision that is eventually combined with the predictions of the rest ones. The demonstration and evaluation of the proposed approach are performed in 2 neuromarketing-related datasets of different nature. The first is employed to showcase the potential of the suggested descriptor, while the second to showcase the decoder’s superiority against popular alternatives in the field.
Case report of congenital methemoglobinemia: an uncommon cause of neonatal cyanosis
Authors: Lyle Allison N. J. , Spurr Rebecca , Kirkey Danielle , Albert Catherine M. , Billimoria Zeenia , Perez Jose , Puia-Dumitrescu Mihai 
Published: September 2022

AbstractBackgroundMethemoglobinemia can be an acquired or congenital condition. The acquired form occurs from exposure to oxidative agents. Congenital methemoglobinemia is a rare and potentially life-threatening cause of cyanosis in newborns that can be caused by either cytochrome B5reductase or hemoglobin variants known as Hemoglobin M.Case presentationA term male infant developed cyanosis and hypoxia shortly after birth after an uncomplicated pregnancy, with oxygen saturations persistently 70–80% despite 1.0 FiO2 and respiratory support of CPAP+ 6 cm H2O. Pre- and post-ductal saturations were equal and remained below 85%. Initial radiographic and echography imaging was normal. Capillary blood gas values were reassuring with normal pH and an elevated pO2. Investigations to rule out hemolysis and end-organ dysfunction were within acceptable range. Given the absence of clear cardiac or pulmonary etiology of persistent cyanosis, hematologic causes such as methemoglobinemia were explored. No family history was available at the time of transfer to our institution. Unconjugated hyperbilirubinemia > 5 mg/dL (442 μmol/L) interfered with laboratory equipment measurement, making accurate methemoglobin levels unattainable despite multiple attempts. Initial treatment with methylene blue or ascorbic acid was considered. However, upon arrival of the presumed biological father, a thorough history revealed an extensive paternal family history of neonatal cyanosis due to a rare mutation resulting in a hemoglobin M variant. Given this new information, hematology recommended supportive care as well as further testing to confirm the diagnosis of congenital methemoglobinopathy. Whole genome sequencing revealed a likely pathogenic variation in hemoglobin. The neonate was discharged home at 2 weeks of age on full oral feeds with 0.25 L/min nasal cannula as respiratory support, with close outpatient follow-up. By 5 weeks of age, he was weaned off respiratory support.ConclusionCongenital methemoglobinemia should be considered in the differential diagnosis for newborns with persistent hypoxemia despite normal imaging and laboratory values. Accurate quantification of methemoglobin concentrations is challenging in neonates due to the presence of other substances that absorb light at similar wavelengths, including HbF, bilirubin, and lipids.
Recalling fake news during real news corrections can impair or enhance memory updating: the role of recollection-based retrieval
Authors: Kemp Paige L. , Alexander Timothy R. , Wahlheim Christopher N. 
Published: September 2022

AbstractFake news can impair memory leading to societal controversies such as COVID-19 vaccine efficacy. The pernicious influence of fake news is clear when ineffective corrections leave memories outdated. A key theoretical issue is whether people should recall fake news while reading corrections with contradictory details. The familiarity backfire view proposes that recalling fake news increases its familiarity, leading to interference. However, the integrative encoding view proposes that recalling fake news promotes co-activation and binding of contradictory details, leading to facilitation. Two experiments examined if one theory better accounts for memory updating after participants recalled actual fake news details when reading headlines that corrected misinformation. In Phase 1, participants read real and fake news headlines of unclear veracity taken from various internet sources. In Phase 2, participants read real news headlines that reaffirmed real news and corrected fake news from Phase 1. When they detected that Phase 2 real news corrected fake news, they attempted to recall Phase 1 fake news. In Phase 3, participants first recalled real news details. When they remembered that those details were corrections from Phase 2, they attempted to recall fake news from Phase 1. Recalling fake news when noticing corrections in Phase 2 led to better memory for real news in Phase 3 when fake news was recalled again and worse memory for real news in Phase 3 when fake news was not recalled again. Both views explain part of the memory differences associated with recalling fake news during corrections, but only when considering whether people recollected that fake news had been corrected.
Pseudopotential-based discrete unified gas kinetic scheme for modeling multiphase fluid flows
Authors: Yang Zeren , Liu Sha , Zhuo Congshan , Zhong Chengwen 
Published: September 2022

AbstractTo directly incorporate the intermolecular interaction effects into the discrete unified gas-kinetic scheme (DUGKS) for simulations of multiphase fluid flow, we developed a pseudopotential-based DUGKS by coupling the pseudopotential model that mimics the intermolecular interaction into DUGKS. Due to the flux reconstruction procedure, additional terms that break the isotropic requirements of the pseudopotential model will be introduced. To eliminate the influences of nonisotropic terms, the expression of equilibrium distribution functions is reformulated in a moment-based form. With the isotropy-preserving parameter appropriately tuned, the nonisotropic effects can be properly canceled out. The fundamental capabilities are validated by the flat interface test and the quiescent droplet test. It has been proved that the proposed pseudopotential-based DUGKS managed to produce and maintain isotropic interfaces. The isotropy-preserving property of pseudopotential-based DUGKS in transient conditions is further confirmed by the spinodal decomposition. Stability superiority of the pseudopotential-based DUGKS over the lattice Boltzmann method is also demonstrated by predicting the coexistence densities complying with the van der Waals equation of state. By directly incorporating the intermolecular interactions, the pseudopotential-based DUGKS offers a mesoscopic perspective of understanding multiphase behaviors, which could help gain fresh insights into multiphase fluid flow.