bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of coronavirus infection (SARS-CoV-2, MERS-CoV, and SARS-CoV) during pregnancy and the possibility of vertical maternal–fetal transmission: a systematic review and meta-analysis
Authors: Diriba Kuma , Awulachew Ephrem , Getu Eyob 
Published: September 2020

Abstract
Background
Coronavirus is challenging the global health care system from time to time. The pregnant state, with alterations in hormone levels and decreased lung volumes due to a gravid uterus and slightly immunocompromised state may predispose patients to a more rapidly deteriorating clinical course and can get a greater risk of harm for both the mother and fetus. Therefore, this systematic review was aimed to assess the effect of coronavirus infection (SARS-CoV-2, MERS-CoV, and SARS-CoV) during pregnancy and its possibility of vertical maternal–fetal transmission.

Methods
A systematic search was conducted on PubMed, Web of Science, Embase, Google Scholar and the Cochrane Library until the end of April. All authors independently extracted all necessary data using excel spreadsheet form. Only published articles with fully accessible data on pregnant women infected with SARS-CoV, MARS-CoV, and SARS-CoV-2 were included. Data on clinical manifestations, maternal and perinatal outcomes were extracted and analyzed.

Result
Out of 879 articles reviewed, 39 studies involving 1316 pregnant women were included. The most common clinical features were fever, cough, and myalgia with prevalence ranging from 30 to 97%, while lymphocytopenia and C-reactive protein were the most common abnormal laboratory findings (55–100%). Pneumonia was the most diagnosed clinical symptom of COVID-19 and non-COVID-19 infection with prevalence ranged from 71 to 89%. Bilateral pneumonia (57.9%) and ground-glass opacity (65.8%) were the most common CT imaging reported. The most common treatment options used were hydroxychloroquine (79.7%), ribavirin (65.2%), and oxygen therapy (78.8%). Regarding maternal outcome, the rate of preterm birth < 37 weeks of gestation was 14.3%, preeclampsia (5.9%), miscarriage (14.5%, preterm premature rupture of membranes (9.2%) and fetal growth restriction (2.8%). From the total coronavirus infected pregnant women, 56.9% delivered by cesarean, 31.3% admitted to ICU, while 2.7% were died. Among the perinatal outcomes, fetal distress rated (26.5%), neonatal asphyxia rated (1.4%). Only, 1.2% of neonates had apgar score < 7 at 5 min. Neonate admitted to ICU was rated 11.3%, while the rate of perinatal death was 2.2%. In the current review, none of the studies reported transmission of CoV from the mother to the fetus in utero during the study period.

Conclusion
Coronavirus infection is more likely to affect pregnant women. Respiratory infectious diseases have demonstrated an increased risk of adverse maternal obstetrical complications than the general population due to physiological changes occurred during pregnancy. None of the studies reported transmission of CoV from the mother to the fetus in utero, which may be due to a very low expression of angiotensin-converting enzyme-2 in early maternal–fetal interface cells.
Homozygous expression of the myofibrillar myopathy-associated p.W2710X filamin C variant reveals major pathomechanisms of sarcomeric lesion formation
Authors: Schuld Julia , Orfanos Zacharias , Chevessier Frédéric , Eggers Britta , Heil Lorena , Uszkoreit Julian , Unger Andreas , Kirfel Gregor , van der Ven Peter F. M. , Marcus Katrin , Linke Wolfgang A. , Clemen Christoph S. , Schröder Rolf , Fürst Dieter O. 
Published: September 2020

AbstractFilamin C (FLNc) is mainly expressed in striated muscle cells where it localizes to Z-discs, myotendinous junctions and intercalated discs. Recent studies have revealed numerous mutations in theFLNCgene causing familial and sporadic myopathies and cardiomyopathies with marked clinical variability. The most frequent myopathic mutation, p.W2710X, which is associated with myofibrillar myopathy, deletes the carboxy-terminal 16 amino acids from FLNc and abolishes the dimerization property of Ig-like domain 24. We previously characterized “knock-in” mice heterozygous for this mutation (p.W2711X), and have now investigated homozygous mice using protein and mRNA expression analyses, mass spectrometry, and extensive immunolocalization and ultrastructural studies. Although the latter mice display a relatively mild myopathy under normal conditions, our analyses identified major mechanisms causing the pathophysiology of this disease: in comparison to wildtype animals (i) the expression level of FLNc protein is drastically reduced; (ii) mutant FLNc is relocalized from Z-discs to particularly mechanically strained parts of muscle cells, i.e. myotendinous junctions and myofibrillar lesions; (iii) the number of lesions is greatly increased and these lesions lack Bcl2-associated athanogene 3 (BAG3) protein; (iv) the expression of heat shock protein beta-7 (HSPB7) is almost completely abolished. These findings indicate grave disturbances of BAG3-dependent and -independent autophagy pathways that are required for efficient lesion repair. In addition, our studies reveal general mechanisms of lesion formation and demonstrate that defective FLNc dimerization via its carboxy-terminal domain does not disturb assembly and basic function of myofibrils. An alternative, more amino-terminally located dimerization site might compensate for that loss. Since filamins function as stress sensors, our data further substantiate that FLNc is important for mechanosensing in the context of Z-disc stabilization and maintenance.
Deregulated expression of a longevity gene, Klotho, in the C9orf72 deletion mice with impaired synaptic plasticity and adult hippocampal neurogenesis
Authors: Ho Wan Yun , Navakkode Sheeja , Liu Fujia , Soong Tuck Wah , Ling Shuo-Chien 
Published: September 2020

AbstractHexanucleotide repeat expansion of C9ORF72 is the most common genetic cause of amyotrophic lateral sclerosis and frontotemporal dementia. Synergies between loss of C9ORF72 functions and gain of toxicities from the repeat expansions contribute to C9ORF72-mediated pathogenesis. However, how loss of C9orf72 impacts neuronal and synaptic functions remains undetermined. Here, we showed that long-term potentiation at the dentate granule cells and long-term depression at the Schaffer collateral/commissural synapses at the area CA1 were reduced in the hippocampus of C9orf72 knockout mice. Using unbiased transcriptomic analysis, we identified that Klotho, a longevity gene, was selectively dysregulated in an age-dependent manner. Specifically, Klotho protein expression in the hippocampus of C9orf72 knockout mice was incorrectly enriched in the dendritic regions of CA1 with concomitant reduction in granule cell layer of dentate gyrus at 3-month of age followed by an accelerating decline during aging. Furthermore, adult hippocampal neurogenesis was reduced in C9orf72 knockout mice. Taken together, our data suggest that C9ORF72 is required for synaptic plasticity and adult neurogenesis in the hippocampus and Klotho deregulations may be part of C9ORF72-mediated toxicity.
Stability of anterior open bite treatment with molar intrusion using skeletal anchorage: a systematic review and meta-analysis
Authors: González Espinosa Daybelis , de Oliveira Moreira Paulo Eliezer , da Sousa Amanda Silva , Flores-Mir Carlos , Normando David 
Published: September 2020

Abstract
Objectives
The aim of this systematic review and meta-analysis is to assess the degree of stability of anterior open bite (AOB) treatment performed through the molar intrusion supported with skeletal anchorage at least 1 year posttreatment.

Methods
This study was registered in PROSPERO (CRD42016037513). A literature search was conducted to identify randomized (RCT) or non-randomized clinical trials based including those considering before and after design. Data sources were electronic databases including PubMed, Cochrane Library, Science Direct, Google Scholar, Scopus, Lilacs, OpenGrey, Web of Science, and ClinicalTrials.gov. The quality of evidence was assessed through the JBI tool and certainty of evidence was evaluated through the GRADE tool. Random effects meta-analysis was conducted when appropriate.

Results
Six hundred twenty-four articles met the initial inclusion criteria. From these, only 6 remained. The mean posttreatment follow-up time was 2.5 years (SD = 1.04). The overbite showed a standardized mean relapse of − 1.23 mm (95% CI − 1.64, − 0.81, p < 0.0001). Maxillary and mandibular incisors presented a non-significant mean relapse, U1-PP − 0.04 mm (95% CI − 0.55, 0.48) and L1-MP − 0.10 mm (95% CI − 0.57, 0.37). Molar intrusion showed a relapse rate around 12% for the maxillary molars and a 27.2% for mandibular molars.

Conclusion
The stability of AOB through molar intrusion using TADs can be considered relatively similar to that reported to surgical approaches, since 10 to 30% of relapse occurs both in maxillary and mandibular molars. The level of certainty ranged between very low and low. RCTs reporting dropout during the follow-up are in dire need.
The burden, admission, and outcomes of COVID-19 among asthmatic patients in Africa: protocol for a systematic review and meta-analysis
Authors: Hailay Abrha , Aberhe Woldu , Zereabruk Kidane , Mebrahtom Guesh , Haile Teklehaimanot , Bahrey Degena , Mariye Teklewoini 
Published: September 2020

Abstract
Background
Coronavirus disease 2019 outbreak is the first reported case in Wuhan, China in December 2019 and suddenly became a major global health concern. According to the European Centre for Disease Prevention and Control, on August 4, 2020 the reported cases of coronavirus disease 2019 were 18,456,952 cases worldwide, 11,691,229 recovered with 697,719 deaths. Evidence on Burden, admission and outcome of Coronavirus Disease in 2019 among Asthmatic patients has not been published in Africa. This research protocol will, therefore, be driven to conduct systematic review and meta-analysis of the Coronavirus Disease in 2019 burden, admission and outcome among Asthmatic patients in Africa.

Methods
All observational studies among Asthmatic patients in Africa and written without language limitation will be included. A search technique was applied using Databases (PubMed / MEDLINE, EMBASE, HINARI, Cochrane Library, World Health Organization COVID-19 database, Africa Wide Knowledge and Web of Science). Two independent authors carried out data extraction and assess the risk of bias using a predetermined and structured method of data collection. We will use random-effects to estimate the overall pooled burden, admission and outcome of COVID-19 Asthmatic patients in Africa. To assess possible publication bias, funnel plot test and Egger’s test methods will be used. This systematic and meta-analysis review protocol will be reported based on the Preferred Reporting Items for Systematic reviews and Meta-Analysis protocol guidelines.

Discussion
The description will be used to show the COVID-19 distribution data by interest variables such as residence, setting, and person-level characteristics. The findings of this review will notify health care professionals about the burden, admission and outcome of COVID − 19 in asthmatic patient, while providing evidence to bring about the requisite improvements in clinical practice for asthmatic patients.

Systematic review registration
This review is registered in the PROSPERO International Prospective Register of Systematic reviews with the registration number of CRD42020202049.
A review of cyber security risks of power systems: from static to dynamic false data attacks
Authors: Xu Yan 
Published: September 2020

AbstractWith the rapid development of the smart grid and increasingly integrated communication networks, power grids are facing serious cyber-security problems. This paper reviews existing studies on the impact of false data injection attacks on power systems from three aspects. First, false data injection can adversely affect economic dispatch by increasing the operational cost of the power system or causing sequential overloads and even outages. Second, attackers can inject false data to the power system state estimator, and this will prevent the operators from obtaining the true operating conditions of the system. Third, false data injection attacks can degrade the distributed control of distributed generators or microgrids inducing a power imbalance between supply and demand. This paper fully covers the potential vulnerabilities of power systems to cyber-attacks to help system operators understand the system vulnerability and take effective countermeasures.
Inline balloon-assisted vascular sheath fragment removal
Authors: Jamshidi Neema , Chiang Jason 
Published: September 2020

Abstract
Background
Unretrievable foreign bodies are associated with high morbidity and mortality. While the majority of reported cases involve the venous circulation, intra-arterial foreign body displacement have the potential to migrate more distally with a higher risk for dissection and hemorrhagic complications during retrieval. As the number of intravascular procedures continues to increase, there is also likely to be a concomittant increase in the number of retrieval procedures, particular for fractured catheters and sheaths. Although snaring is frequently the traditional, ‘go-to’ method for retrieval, there are inherent risks of further dislodgement or fracture.

Case report
We describe a case that involves retrieval of a fractured sheath that originated in the common femoral artery but migrated into the popliteal artery. Different retrieval approaches were employed, however ultimately balloon assisted, over-the-wire retrieval was the successful approach.

Conclusions
We anticipate that over-the-wire, inline-retrieval approaches will continue to grow in popularity and use, particularly with respect to manipulation within the arterial circulation.
AI-perspectives: the Turing option
Authors: Kirchner Frank 
Published: September 2020

AbstractThis paper presents a perspective on AI that starts with going back to early work on this topic originating in theoretical work of Alan Turing. The argument is made that the core idea - that leads to the title of this paper - of these early thoughts are still relevant today and may actually provide a starting point to make the transition from today functional AI solutions towards integrative or general AI.
Removal of aqueous carbamazepine using graphene oxide nanoplatelets: process modelling and optimization
Authors: Bhattacharya Sandipan , Banerjee Priya , Das Papita , Bhowal Avijit , Majumder Subrata Kumar , Ghosh Pallab 
Published: September 2020

AbstractUnplanned and unmonitored developmental activities have resulted in a rapid emergence of pollutants like pharmaceuticals and personal care products (PPCPs) in the environment. These PPCPs are considered as potential health hazards. A wide variety of physical, biological and chemical processes are presently being investigated for ensuring the efficient removal of such pollutants from effluents. The present study investigates the potential of graphene oxide nanoplatelets (GONPs) for removal of a common and extensively used drug, Carbamazepine (CBZ) from aqueous solutions. Batch studies were performed to assess the potential of graphene oxide for adsorption of CBZ under different conditions of initial CBZ concentration, adsorbent dosage, temperature and solution pH. Process optimization was performed using Response Surface Methodology and Artificial Neural Network modelling. Results obtained indicated 99% CBZ removal under optimum solution pH, adsorbent dosage and treatment duration of 6, 1 g L− 1 and 120 min respectively. Results revealed that CBZ adsorption by GONPs followed Temkin isotherm and pseudo second order kinetics. A subsequent reusability study established that the GONPs could be reused for up to 8 times without any loss of adsorption efficiency. Therefore, it can be concluded that graphene oxide reported herein has immense potential for adsorption of trace organic pollutants from aqueous phases.
Joint programming for urban transformations: the making of the JPI Urban Europe Strategic Research and Innovation Agenda
Authors: Bylund Jonas 
Published: September 2020

AbstractThe Joint Programming Initiative (JPI) Urban Europe, a transnational initiative by European countries in partnership with the European Union (EU) to tackle the challenge of sustainable urbanisation by programming urban research and innovation, launched its updated Strategic Research and Innovation Agenda (SRIA) in February 2019. Developed in the field of sustainable urbanisation, it is based on a wide set of sectors, disciplines, research frontiers, and their asymmetrical interconnections, as well as consultations among stakeholders in these areas, ranging from global policy and EU levels over national to regional and local actors including civil servants and politicians, researchers, commercial actors, civil society. Since the international landscape of urban policy and particularly urban transformations has recently been shifting with UN Agenda 2030, UN Habitat New Urban Agenda, and, in Europe, with an Urban Agenda for the EU, urban research and innovation, at least the parts tackling sustainable urbanisation, strives to elaborate how to support these objectives. Together with an account of how this was done from the insider perspective of a programme manager, this note presents questions and issues that will direct the JPI Urban Europe programming beyond 2020. The updated JPI Urban Europe agenda’s main novelty is a dilemma-driven approach to the thematic priorities in the programming activities and a transition arena concept for its implementation.
System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning–Directed Clinical Evaluations During Radiation and Chemoradiation
Authors: Hong Julian C. , Eclov Neville C. W. , Dalal Nicole H. , Thomas Samantha M. , Stephens Sarah J. , Malicki Mary , Shields Stacey , Cobb Alyssa , Mowery Yvonne M. , Niedzwiecki Donna , Tenenbaum Jessica D. , Palta Manisha 
Published: September 2020

PURPOSE Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation or hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited prospective studies investigating the clinical impact of ML in health care. The objective of this study was to determine whether ML can identify high-risk patients and direct mandatory twice-weekly clinical evaluation to reduce acute care visits during treatment. PATIENTS AND METHODS During this single-institution randomized quality improvement study (ClinicalTrials.gov identifier: NCT04277650 ), 963 outpatient adult courses of RT and CRT started from January 7 to June 30, 2019, were evaluated by an ML algorithm. Among these, 311 courses identified by ML as high risk (> 10% risk of acute care during treatment) were randomized to standard once-weekly clinical evaluation (n = 157) or mandatory twice-weekly evaluation (n = 154). Both arms allowed additional evaluations on the basis of clinician discretion. The primary end point was the rate of acute care visits during RT. Model performance was evaluated using receiver operating characteristic area under the curve (AUC) and decile calibration plots. RESULTS Twice-weekly evaluation reduced rates of acute care during treatment from 22.3% to 12.3% (difference, −10.0%; 95% CI, −18.3 to −1.6; relative risk, 0.556; 95% CI, 0.332 to 0.924; P = .02). Low-risk patients had a 2.7% acute care rate. Model discrimination was good in high- and low-risk patients undergoing standard once-weekly evaluation (AUC, 0.851). CONCLUSION In this prospective randomized study, ML accurately triaged patients undergoing RT and CRT, directing clinical management with reduced acute care rates versus standard of care. This prospective study demonstrates the potential benefit of ML in health care and offers opportunities to enhance care quality and reduce health care costs.
Multidimensional Aspects of Female Sexual Function in Congenital Adrenal Hyperplasia: A Case-Control Study
Authors: Dwiggins Maggie , Brookner Brittany , Fowler Kylie , Veeraraghavan Padmasree , Gomez-Lobo Veronica , Merke Deborah P 
Published: September 2020

Abstract

Context
46,XX patients with classic congenital adrenal hyperplasia (CAH) are exposed to elevated androgens in utero causing varying levels of virilization. The majority undergo feminizing genitoplasty early in life, with potential impact on sexual function and health-related quality of life (HRQoL).

Objective
We aimed to determine how sexual and lower urinary tract function, body image, and global HRQoL differs between patients with classic CAH and controls and to characterize how gynecologic anatomy contributes to outcomes.

Methods
36 patients with classic CAH and 27 control women who were matched for age, race, and marital status underwent standardized gynecological examination and validated questionnaires. The responses were analyzed in relation to gynecological measurements, genotype, and disease status.

Results
Compared with controls, patients with CAH were more likely to have sexual dysfunction (P = 0.009), dyspareunia (P = 0.007), and other pelvic pain (P = 0.007); were less likely to be heterosexual (P = 0.013) or ever have been sexually active (P = 0.003); had poorer body image independent of body mass index (P &lt; 0.001); and had worse HRQoL in the areas of general health (P = 0.03) and pain (P = 0.009). The patients with CAH had smaller vaginal calibers and perineal body lengths and larger clitoral indexes when compared with controls (P &lt; 0.001). A larger vaginal caliber in CAH patients was associated with better overall sexual function (P = 0.024), increased sexual satisfaction (P = 0.017), less pain (P &lt; 0.001), and greater number of sexual partners (P = 0.02).

Conclusions
46,XX patients with CAH have increased rates of sexual dysfunction, poor body image, and poor HRQoL, which is mitigated by having a larger vaginal caliber. Management aimed at optimizing vaginal caliber might improve sexual function.
PUblications Metadata Augmentation (PUMA) pipeline
Authors: Butters Oliver W. , Wilson Rebecca C. , Garner Hugh , Burton Thomas W. Y. 
Published: September 2020

Cohort studies collect, generate and distribute data over long periods of time – often over the lifecourse of their participants. It is common for these studies to host a list of publications (which can number many thousands) on their website to demonstrate the impact of the study and facilitate the search of existing research to which the study data has contributed. The ability to search and explore these publication lists varies greatly between studies. We believe a lack of rich search and exploration functionality is a barrier to entry for new or prospective users of a study’s data, since it may be difﬁcult to ﬁnd and evaluate previous work in a given area. These lists of publications are also typically manually curated, resulting in a lack of rich metadata to analyse, making bibliometric analysis difﬁcult. We present here a software pipeline that aggregates metadata from a variety of third-party providers to power a web based search and exploration tool for lists of publications. Alongside core publication metadata (i.e. author lists, keywords etc.), we include geocoding of ﬁrst authors and citations in our pipeline. This allows a characterisation of a study as a whole based on common locations of authors, frequency of keywords, citation proﬁle etc. This enriched publications metadata can be useful for generating project impact metrics and web-based graphics useful for public dissemination. In addition, the pipeline produces a research data set for bibliometric analysis or social studies of science.