bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ventricular tachycardia with epicardial and pericardial fibrosis 6 months after resolution of subclinical COVID-19: a case report
Authors: Solaimanzadeh Jonathan , Freilich Aaron , Sood Michael R 
Published: May 2021

AbstractBackgroundCoronavirus disease 2019 (COVID-19) has been shown to have extensive effects on the cardiovascular system. Its long-term cardiac manifestations, however, remain unclear.Case presentationWe report the case of a Caucasian patient with a mild and self-limited presentation of COVID-19, with subsequent development, months later, of exertional dyspnea and non-sustained ventricular tachycardia, long after resolution of his illness and after returning to aerobic exercise. The patient had normal screening tests including electrocardiogram (ECG) and echocardiogram 4 months after his illness. Cardiac magnetic resonance imaging demonstrated epicardial and pericardial fibrosis of the right ventricle free wall and outflow tract and the pericardium over the anterior wall, 6 months following the initial infection. First abnormal ECG was recorded at month 7 following illness.ConclusionsThis case suggests an insidious and possible long-term cardiac involvement and reflects the challenges in traditional workups and screening modalities in identifying cardiac involvement in COVID-19.
Effects of cofD gene knock-out on the methanogenesis of Methanobrevibacter ruminantium
Authors: Ma Jian , Wang Xueying , Zhou Ting , Hu Rui , Zou Huawei , Wang Zhisheng , Tan Cui , Zhang Xiangfei , Peng Quanhui , Xue Bai , Wang Lizhi 
Published: May 2021

AbstractThis study aimed to investigate the effects of cofD gene knock-out on the synthesis of coenzyme F420 and production of methane in Methanobrevibacter ruminantium (M. ruminantium). The experiment successfully constructed a cofD gene knock-out M. ruminantium via homologous recombination technology. The results showed that the logarithmic phase of mutant M. ruminantium (12 h) was lower than the wild-type (24 h). The maximum biomass and specific growth rate of mutant M. ruminantium were significantly lower (P < 0.05) than those of wild-type, and the maximum biomass of mutant M. ruminantium was approximately half of the wild-type; meanwhile, the proliferation was reduced. The synthesis amount of coenzyme F420 of M. ruminantium was significantly decreased (P < 0.05) after the cofD gene knock-out. Moreover, the maximum amount of H2 consumed and CH4 produced by mutant were 14 and 2% of wild-type M. ruminantium respectively. In conclusion, cofD gene knock-out induced the decreased growth rate and reproductive ability of M. ruminantium. Subsequently, the synthesis of coenzyme F420 was decreased. Ultimately, the production capacity of CH4 in M. ruminantium was reduced. Our research provides evidence that cofD gene plays an indispensable role in the regulation of coenzyme F420 synthesis and CH4 production in M. ruminantium.
Human pluripotent stem cell-derived brain organoids as in vitro models for studying neural disorders and cancer
Authors: Luo Juan , Li Peng 
Published: May 2021

AbstractThe sheer complexities of brain and resource limitation of human brain tissue greatly hamper our understanding of the brain disorders and cancers. Recently developed three-dimensional (3D) brain organoids (BOs) are self-organized and spontaneously differentiated from human pluripotent stem cells (hPSCs) in vitro, which exhibit similar features with cell type diversity, structural organization, and functional connectivity as the developing human brain. Based on these characteristics, hPSC-derived BOs (hPDBOs) provide new opportunities to recapitulate the complicated processes during brain development, neurodegenerative disorders, and brain cancers in vitro. In this review, we will provide an overview of existing BO models and summarize the applications of this technology in modeling the neural disorders and cancers. Furthermore, we will discuss the challenges associated with their use as in vitro models for disease modeling and the potential future direction.
Solving a well-posed fractional initial value problem by a complex approach
Authors: Fernandez Arran , Uçar Sümeyra , Özdemir Necati 
Published: May 2021

AbstractNonlinear fractional differential equations have been intensely studied using fixed point theorems on various different function spaces. Here we combine fixed point theory with complex analysis, considering spaces of analytic functions and the behaviour of complex powers. It is necessary to study carefully the initial value properties of Riemann–Liouville fractional derivatives in order to set up an appropriate initial value problem, since some such problems considered in the literature are not well-posed due to their initial conditions. The problem that emerges turns out to be dimensionally consistent in an unexpected way, and therefore suitable for applications too.
Household willingness to adopt a single-stage solar-supported hyper-thermophilic anaerobic biogas digester in Ghana
Authors: Bryant Isaac Mbir , Afitiri Abdul-Rahaman 
Published: May 2021

AbstractBackgroundSustainability of energy is key for quality life; thus, the use of clean energy at the household level warrants moving from fossil-based energy to modern forms like biogas. However, the joint interactive effect of household income, biogas usage and willingness to adopt a single-stage solar-supported hyper-thermophilic anaerobic biogas digester (SSHTABD) is not known.MethodsA cross-sectional survey was carried out to assess the willingness of residents of Elmina to adopt the SSHTABD. Stratified and simple random sampling techniques were used to select 219 respondents fitted into a complementary log–log regression model.ResultsHousehold willingness to adopt the SSHTABD was 86%. Among them are households not willing to use biogas but have high income and households willing to use biogas but have either low or high income are more likely to adopt the technology compared to households not willing to use biogas and have low income. Households not willing to use biogas, but have high income (OR = 1.725, confidence interval [CI] 0.803–3.706) and households willing to use biogas, but have low income (OR = 1.877, CI 1.103–3.188) compared to households willing to use biogas and have high income (OR = 1.725, CI 1.080–3.451) are more likely to adopt the technology as households not willing to use biogas and have low income. Additionally, households employed under the formal government sector, formal and informal private sectors are 40%, 136% and 103%, respectively, more likely to adopt the technology than those unemployed.ConclusionThe high willingness of households to adopt the technology calls for government to support households to own biogas digesters thus requires policy interventions and interdisciplinary research.
The emerging role of RNA N6-methyladenosine methylation in breast cancer
Authors: Zheng Fangchao , Du Feng , Zhao Jiuda , Wang Xue , Si Yiran , Jin Peng , Qian Haili , Xu Binghe , Yuan Peng 
Published: May 2021

AbstractN6-methyladenosine (m6A) modification is the most prevalent internal mRNA modification and is involved in many biological processes in eukaryotes. Accumulating evidence has demonstrated that m6A may play either a promoting or suppressing role in breast cancer, including in tumorigenesis, metastasis and angiogenesis. In this review, we summarize the latest research progress on the biological function and prognostic value of m6A modification in breast cancer, as well as potential related therapeutic strategies.
Evolutionary divergence of motifs in B-class MADS-box proteins of seed plants
Authors: Shen Gangxu , Jia Yong , Wang Wei-Lung 
Published: May 2021

Abstract
Background
MADS-box transcription factors function as homo- or heterodimers and regulate many aspects of plant development; moreover, MADS-box genes have undergone extensive duplication and divergence. For example, the morphological diversity of floral organs is closely related to the functional divergence of the MADS-box gene family. B-class genes (such as Arabidopsis thaliana APETALA3 [AP3] and PISTILLATA [PI]) belong to a subgroup of MADS-box genes. Here, we collected 97 MADS-box B protein sequences from 21 seed plant species and examined their motifs to better understand the functional evolution of B proteins.

Results
We used the MEME tool to identify conserved sequence motifs in these B proteins; unique motif arrangements and sequences were identified in these B proteins. The keratin-like domains of Malus domestica and Populus trichocarpa B proteins differed from those in other angiosperms, suggesting that a novel regulatory network might have evolved in these species. The MADS domains of Nelumbo nucifera, Glycine max, and Amborella trichopoda B-proteins contained motif 9; in contrast, those of other plants contained motif 1. Protein modelling analyses revealed that MADS domains with motif 9 may lack amino acid sites required for DNA-binding. These results suggested that the three species might share an alternative mechanism controlling floral development.

Conclusions
Amborella trichopoda has B proteins with either motif 1 or motif 9 MADS domains, suggesting that these two types of MADS domains evolved from the ancestral domain into two groups, those with motif 9 (N. nucifera and G. max), and those with motif 1. Moreover, our results suggest that the homodimer/heterodimer intermediate transition structure first appeared in A. trichopoda. Therefore, our systematic analysis of the motifs in B proteins sheds light on the evolution of these important transcription factors.
Association between prevalence of obstructive lung disease and obesity: results from The Vermont Diabetes Information System
Authors: Ramos-Nino Maria E. , MacLean Charles D. , Littenberg Benjamin 
Published: May 2021

Abstract
Background
The association of obesity with the development of obstructive lung disease, namely asthma and/or chronic obstructive pulmonary disease, has been found to be significant in general population studies, and weight loss in the obese has proven beneficial in disease control. Obese patients seem to present with a specific obstructive lung disease phenotype including a reduced response to corticosteroids. Obesity is increasingly recognized as an important factor to document in obstructive lung disease patients and a critical comorbidity to report in diabetic patients, as it may influence disease management. This report presents data that contributes to establishing the relationship between obstructive lung disease in a diabetic cohort, a population highly susceptible to obesity.

Methods
A total of 1003 subjects in community practice settings were interviewed at home at the time of enrolment into the Vermont Diabetes Information System, a clinical decision support program. Patients self-reported their personal and clinical characteristics, including any history of obstructive lung disease. Laboratory data were obtained directly from the clinical laboratory, and current medications were obtained by direct observation of medication containers. We performed a cross-sectional analysis of the interviewed subjects to assess a possible association between obstructive lung disease history and obesity.

Results
In a multivariate logistic regression model, a history of obstructive lung disease was significantly associated with obesity (body mass index ≥30) even after correcting for potential confounders including gender, low income (<$30,000/year), number of comorbidities, number of prescription medications, cigarette smoking, and alcohol problems (adjusted odds ratio (OR) = 1.58, P = 0.03, 95% confidence interval (CI) = 1.05, 2.37). This association was particularly strong and significant among female patients (OR = 2.18, P = < 0.01, CI = 1.27, 3.72) but not in male patients (OR = 0.97, P = 0.93, CI = 0.51, 1.83).

Conclusion
These data suggest an association between obesity and obstructive lung disease prevalence in patients with diabetes, with women exhibiting a stronger association. Future studies are needed to identify the mechanism by which women disproportionately develop obstructive lung disease in this population.
Functional hemispherectomy for patients with adult-onset Rasmussen’s encephalitis
Authors: Xue Hong , Xu Cuiping , Zhou Xiaoxia , Ni Duanyu , Wang Xueyuan , Yu Tao 
Published: May 2021

Abstract
Background
Surgical treatment for patients with adult-onset Rasmussen’s encephalitis (A-RE) is rarely reported. We investigated the clinical and surgical features of two patients with A-RE who underwent functional hemispherectomy.

Case presentation
The data of clinical manifestations, neuroimaging, surgical treatment and surgical outcomes of two patients with A-RE was reviewed. The two patients initially presented with recurrent partial seizures or secondly generalized tonic clonic seizures. Gradually, the patients showed unilateral limb paralysis as well as chronic focal epileptic status. Both patients underwent functional hemispherectomy and achieved seizure freedom in the follow-up. The contralateral neurological deficits improved gradually after rehabilitation and were acceptable for the self-care of daily living. The living quality improved prominently after surgery.

Conclusions
Despite the risk of hemiplegia, functional hemispherectomy may be a choice for patients with A-RE for favorable seizure control and improved quality of life in selected patients.
Multivariate optimization and evaluation of quaternary mixture in bulk and co-formulated dosage forms by central composite design
Authors: Jampana Rama Tulasi , Avula Prameela Rani , Anumolu Panikumar Durga 
Published: May 2021

Abstract
Background
The current study describes the use of central composite design for multivariate optimization of resolution and retention time, taking into account different critical method parameters like organic phase, pH, flow rate, and wavelength for risk assessment. The chromatographic method for the assay of the most effective anti-viral regimen (EPCLUSA, DARVONI, and HARVONI) was developed. An experimental design was presented by sequential investigation of four independent parameters. The method was developed using XTERRA C18 (250 mm × 4.6 mm, 5 μm particle size) column in isocratic mode using potassium dihydrogen phosphate buffer (pH adjusted to 5) and acetonitrile (50:50 % v/v) as mobile phase at a flow rate of 1.0 ml/min and UV detection wavelength of 260 nm.

Results
The separation of four drugs with fine resolution and preferable retention times was achieved. Retention times of four drugs were found to be 2.96, 3.91, 7.15, and 11.94 min for daclatasvir, sofosbuvir, velpatasvir, and ledipasvir, respectively. The percentage accuracy of labelled claim was in the range of 99–102%, and the pooled %RSD for repeatability, precision, and accuracy was less than 2%.

Conclusion
The suggested method was applied for quantification and identification of studied drugs in tablets; the results agreed with the label claim and were validated according to the ICH guidelines. The optimized method can be used for pharmacokinetic and quality control studies.
A method for adequate selection of training data sets to reconstruct seismic data using a convolutional U-Net
Authors: Park Jiho , Choi Jihun , Jee Seol Soon , Byun Joongmoo , Kim Young 
Published: May 2021

Deep-learning (DL) methods have recently been introduced for seismic signal processing. Using DL methods, many researchers have adopted these novel techniques in an attempt to construct a DL model for seismic data reconstruction. The performance of DL-based methods depends heavily on what is learned from the training data. We focus on constructing the DL model that well reflect the features of target data sets. The main goal is to integrate DL with an intuitive data analysis approach that compares similar patterns prior to the DL training stage. We have developed a two-sequential method consisting of two stages: (1) analyzing training and target data sets simultaneously for determining the target-informed training set and (2) training the DL model with this training data set to effectively interpolate the seismic data. Here, we introduce the convolutional autoencoder t-distributed stochastic neighbor embedding (CAE t-SNE) analysis that can provide the insight into the results of interpolation through the analysis of training and target data sets prior to DL model training. Our method was tested with synthetic and field data. Dense seismic gathers (e.g., common-shot gathers) were used as a labeled training data set, and relatively sparse seismic gathers (e.g., common-receiver gathers [CRGs]) were reconstructed in both cases. The reconstructed results and signal-to-noise ratios demonstrated that the training data can be efficiently selected using CAE t-SNE analysis, and the spatial aliasing of CRGs was successfully alleviated by the trained DL model with this training data, which contain target features. These results imply that the data analysis for selecting target-informed training set is very important for successful DL interpolation. In addition, our analysis method can also be applied to investigate the similarities between training and target data sets for other DL-based seismic data reconstruction tasks.
Gemtuzumab Ozogamicin Improves Event-Free Survival and Reduces Relapse in PediatricKMT2A-Rearranged AML: Results From the Phase III Children's Oncology Group Trial AAML0531
Authors: Pollard Jessica A. , Guest Erin , Alonzo Todd A. , Gerbing Robert B. , Loken Mike R. , Brodersen Lisa Eidenschink , Kolb E. Anders , Aplenc Richard , Meshinchi Soheil , Raimondi Susana C. , Hirsch Betsy , Gamis Alan S. 
Published: May 2021

PURPOSEWe investigated the impact of the CD33-targeted agent gemtuzumab ozogamicin (GO) on survival in pediatric patients with KMT2A-rearranged ( KMT2A-r) acute myeloid leukemia (AML) enrolled in the Children's Oncology Group trial AAML0531 ( NCT01407757 ).METHODSPatients with KMT2A-r AML were identified and clinical characteristics described. Five-year overall survival (OS), event-free survival (EFS), disease-free survival (DFS), and relapse risk (RR) were determined overall and for higher-risk versus not high-risk translocation partners. GO's impact on response was determined and outcomes based on consolidation approach (hematopoietic stem cell transplant [HSCT] v chemotherapy) described.RESULTSTwo hundred fifteen (21%) of 1,022 patients enrolled had KMT2A-r AML. Five-year EFS and OS from study entry were 38% and 58%, respectively. EFS was superior with GO treatment (EFS 48% with GO v 29% without, P = .003), although OS was comparable (63% v 53%, P = .054). For patients with KMT2A-r AML who achieved complete remission, GO was associated with lower RR (40% GO v 66% patients who did not receive GO [No-GO], P = .001) and improved 5-year DFS (GO 57% v No-GO 33%, P = .002). GO benefit was observed in both higher-risk and not high-risk KMT2A-r subsets. For patients who underwent HSCT, prior GO exposure was associated with decreased relapse (5-year RR: 28% GO and HSCT v 73% No-GO and HSCT, P = .006). In multivariable analysis, GO was independently associated with improved EFS, improved DFS, and reduced RR.CONCLUSIONGO added to conventional chemotherapy improved outcomes for KMT2A-r AML; consolidation with HSCT may further enhance outcomes. Future clinical trials should study CD33-targeted agents in combination with HSCT for pediatric KMT2A-r AML.
Sensory Neurons, Neuroimmunity, and Pain Modulation by Sex Hormones
Authors: Lenert Melissa E , Avona Amanda , Garner Katherine M , Barron Luz R , Burton Michael D 
Published: May 2021

Abstract
The inclusion of women in preclinical pain studies has become more commonplace in the last decade as the National Institutes of Health (NIH) released its “Sex as a Biological Variable” mandate. Presumably, basic researchers have not had a comprehensive understanding about neuroimmune interactions in half of the population and how hormones play a role in this. To date, we have learned that sex hormones contribute to sexual differentiation of the nervous system and sex differences in behavior throughout the lifespan; however, the cycling of sex hormones does not always explain these differences. Here, we highlight recent advances in our understanding of sex differences and how hormones and immune interactions influence sensory neuron activity to contribute to physiology and pain. Neuroimmune mechanisms may be mediated by different cell types in each sex, as the actions of immune cells are sexually dimorphic. Unfortunately, the majority of studies assessing neuronal contributions to immune function have been limited to males, so it is unclear if the mechanisms are similar in females. Finally, pathways that control cellular metabolism, like nuclear receptors, have been shown to play a regulatory role both in pain and inflammation. Overall, communication between the neuroimmune and endocrine systems modulate pain signaling in a sex-dependent manner, but more research is needed to reveal nuances of these mechanisms.
Acute Migraine Treatment
Authors: Ailani Jessica 
Published: May 2021

ABSTRACT

PURPOSE OF REVIEW
Migraine is a disabling disease of attacks of moderate to severe pain with associated symptoms. Every person with migraine requires treatment for acute attacks. Treatments can range from behavioral management and nonspecific medications to migraine-specific medications and neuromodulation. For many with migraine, having a combination of tools allows for effective treatment of all types of attacks.

RECENT FINDINGS
Over the past several years, four neuromodulation devices have been cleared by the US Food and Drug Administration (FDA) for treatment of acute migraine, and three medications with novel mechanisms of action have been FDA approved. They add to the arsenal available to people with migraine and focus on migraine-specific pathways to allow for precise care with fewer side effects.

SUMMARY
This article discusses acute migraine therapy, focusing on best-level evidence.
Headache in Women
Authors: Pavlović Jelena M. 
Published: May 2021

ABSTRACT

PURPOSE OF REVIEW
Women are greatly overrepresented among patients seeking treatment for symptoms of headache pain in general and migraine in particular. Understanding the presentation of headache in women in relation to hormonal changes both during the menstrual cycle and throughout the life span is essential for appropriate diagnosis and treatment.

RECENT FINDINGS
Although perimenstrual migraine attacks are generally without aura, the diagnosis of migraine with aura has been added to the headache classification for menstrual migraine to account for women with the diagnosis of migraine with aura who experience menstrual migraine attacks. Emerging knowledge regarding the differences between menstrual and nonmenstrual attacks, the variability of attack triggering within and between women, and the response of women with menstrually related migraine to new migraine drug classes is contributing to better understanding and more effective treatment of these particularly burdensome and refractory attacks. Given the burden of migraine, almost one-fourth of women with migraine avoid or delay pregnancy. Women who experience migraine during pregnancy are more likely to have a hypertensive disorder and stroke during pregnancy and/or delivery and the postpartum period. Treatment of headache in general and migraine in particular in pregnancy is challenging because of fetal and maternal risks; however, a 2021 systematic review suggests that triptans and low-dose aspirin may not be associated with fetal/child adverse effects and could be more strongly considered for headache treatment in pregnancy.

SUMMARY
Headache in general and migraine in particular are extraordinarily common in women of reproductive age and fluctuate with hormonal changes and phases of life. Improved knowledge of the epidemiology, pathophysiology, and response to treatment of perimenstrual attacks is essential for more effective response to this most burdensome headache type. Treatment of headache in pregnancy remains challenging.