bluuebunny/crossref_metadata_2025_split huggingface dataset:
Local government competition and regional innovation efficiency: From the perspective of China-style fiscal federalism
Authors: Zhao Chen , Feng Feng , Chen Yuee , Li Xingteng 
Published: March 2021

Abstract
Through data envelope analysis, this article finds that the innovation efficiency of China’s three regions is shrinking. From the perspective of Chinese fiscal federalism, we try to study the influence of two forms of local government competition (vertical competition and horizontal competition) on regional innovation efficiency. We find that both fiscal decentralization and competition among local governments effectively promote regional innovation efficiency, while there is no effective interaction mechanism between them. The attitude of local governments toward scientific and technological (S&T) activities also directly affects the efficiency of regional innovation. From the top of policy design, in order to establish a national innovation system and improve innovation efficiency, appropriate fiscal autonomy should be granted to local governments. Suggestions include that local governments should strengthen S&T activities and cooperate with each other, which is an important S&T policy guidance for central government in the future.
Multisystem Inflammatory Syndrome in a Child with Scrub Typhus and Macrophage Activation Syndrome
Authors: Gupta Aman , Gill Arpinder 
Published: March 2021

Abstract
Kawasaki disease (KD), multisystem inflammatory syndrome in children (MIS-C) and macrophage activation syndrome (MAS) have been speculated as three distinct phenotypes of hyperinflammation seen in children during coronavirus disease (COVID-19) pandemic. KD has been reported in association with dengue, scrub typhus and leptospirosis. COVID-19 and dengue coinfection has also been described. However, MIS-C with concomitant infection has rarely been reported. We report an adolescent girl with clinical and laboratory parameters of MIS-C resembling KD with positive serology for scrub typhus at presentation. Clinical manifestations resolved and laboratory parameters improved with IVIG, azithromycin and corticosteroids. However, she developed fever recurrence with thrombocytopenia, elevated inflammatory markers, hypofibrinogenemia and hypertriglyceridemia which were consistent with MAS. With the emergence of MIS-C and increase in the number of such cases being reported throughout world, physicians should be aware of different phenotypes of hyperinflammation associated with COVID-19 and the possibility of coexistence of MIS-C with other infections.

LAY SUMMARY
Clinical and laboratory parameters of multisystem inflammatory syndrome in children (MIS-C) mimic Kawasaki disease (KD). KD has been described in association with dengue, scrub typhus and leptospirosis. However, MIS-C with concomitant infection has rarely been reported in literature. A 14-year-old-girl presented with fever and rash with history of redness of eyes, lips and tongue. Investigations showed anemia, lymphopenia, thrombocytosis with elevated erythrocyte sedimentation rate, C-reactive protein, pro-brain natriuretic peptide, Interleukin-6, ferritin and d-dimer. Scrub typhus immunoglobulin M was positive. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G (IgG) level was also elevated. A diagnosis of MIS-C with concomitant scrub typhus was proffered. Child received azithromycin, intravenous immunoglobulin and methylprednisolone. After an afebrile period of 2.5 days, child developed unremitting fever and rash. Repeat investigations showed anemia, worsening lymphopenia, thrombocytopenia, transaminitis, hypertriglyceridemia, hyperferritinemia and hypofibrinogenemia which were consistent with a diagnosis of macrophage activation syndrome (MAS). KD, MIS-C and MAS represent three distinct phenotypes of hyperinflammation seen in children during coronavirus disease pandemic. Several tropical infections may mimic or coexist with MIS-C which can be a diagnostic challenge for the treating physician. Identification of coexistence or differentiation between the two conditions is important in countries with high incidence of tropical infections to guide appropriate investigations and treatment.
Variation in UV-Mediated Damage Recovery Among Pseudoidium neolycopersici Isolates: Possible Mechanisms
Authors: Pathak Ranjana , Suthaparan Aruppillai 
Published: March 2021

The cryptochrome/photolyase family (CPF) consists of a diversified class of flavoproteins that are evolutionarily related. Although their domain architecture is highly conserved, they perform entirely different physiological functions. Previous studies have confirmed the presence of a functional photolyase in Pseudoidium neolycopersici, which repairs UV-C-induced DNA damage by using near UV-A/blue light as an energy source. Similar doses of UV-C treatment followed by incubation with dark or blue light was tested on conidia germination of five isolates of P. neolycopersici collected from different regions of Norway and the Netherlands. The results showed variations in the effect of UV on germination and germination recovery under blue light incubation after UV treatment. Evolutionary studies confirmed that P. neolycopersici photolyase is highly conserved among different isolates of P. neolycopersici and among different species. All CPF members have a core domain consisting of an identical cofactor, flavin adenine dinucleotide (FAD), and an additional photoantenna chromophore. An amino acid sequence analysis demonstrated that CPF members have highly conserved C terminals compared with their N terminals, because FAD binds in the C-terminal region. When compared with other CPF members, varying lengths of N and C terminals were noticed in P. neolycopersici photolyase and putative cryptochrome, respectively. Further research using comparative genomics targeting pyrimidine base composition, the role of regulatory elements, including promotor architecture, and the characterization of optical properties of native photolyase among isolates may help to explain the differences in the biological responses of conidia germination of P. neolycopersici treated with UV. [Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
Organoids as a new model system to study neural tube defects
Authors: Wu Yu , Peng Sisi , Finnell Richard H. , Zheng Yufang 
Published: March 2021

AbstractThe neural tube is the first critically important structure that develops in the embryo. It serves as the primordium of the central nervous system; therefore, the proper formation of the neural tube is essential to the developing organism. Neural tube defects (NTDs) are severe congenital defects caused by failed neural tube closure during early embryogenesis. The pathogenesis of NTDs is complicated and still not fully understood even after decades of research. While it is an ethically impossible proposition to investigate the in vivo formation process of the neural tube in human embryos, a newly developed technology involving the creation of neural tube organoids serves as an excellent model system with which to study human neural tube formation and the occurrence of NTDs. Herein we reviewed the recent literature on the process of neural tube formation, the progress of NTDs investigations, and particularly the exciting potential to use neural tube organoids to model the cellular and molecular mechanisms underlying the etiology of NTDs.
Thromboelastography Parameters and Platelet Count on Admission to the ICU and the Development of Venous Thromboembolism in Patients With Coronavirus Disease 2019
Authors: Marvi Tanya K. , Stubblefield William B. , Tillman Benjamin F. , Tenforde Mark W. , Feldstein Leora R. , Patel Manish M. , Self Wesley H. , Grijalva Carlos G. , Rice Todd W. 
Published: March 2021

Objectives:
Determine if thromboelastography parameters and platelet count on the day of ICU admission are associated with the development of venous thromboembolism in patients with coronavirus disease 2019.

Design:
Prospective, observational cohort study.

Setting:
Tertiary-care, academic medical center in Nashville, TN.

Patients:
Patients with coronavirus disease 2019 pneumonia and acute respiratory failure admitted to the adult ICU without venous thromboembolism at the time of ICU admission.

Intervention:
None.

Measurements and Main Results:
The primary outcome was development of venous thromboembolism during the index hospitalization. Venous thromboembolism was defined by clinical imaging or autopsy, demonstrating deep vein thrombosis or pulmonary embolism. Forty consecutive critically ill adults with laboratory-confirmed coronavirus disease 2019 were enrolled; 37 (92.5%) were hypercoagulable by at least one thromboelastography parameter at the time of ICU admission and 12 (30%) met the primary outcome of venous thromboembolism during the index hospitalization. Patients who developed venous thromboembolism had decreased measures of clotting (maximum amplitude, alpha angle, shear elastic modulus parameter, and clotting index) on ICU admission thromboelastography compared with patients who did not develop venous thromboembolism (p < 0.05 for all measures). For each individual thromboelastography parameter used to dichotomize patients as hypercoagulable, the rate of venous thromboembolism was not higher in those identified as hypercoagulable; in fact, the venous thromboembolism rate was higher in patients who were not hypercoagulable by thromboelastography for maximum amplitude (p = 0.04) and alpha angle (p = 0.001). Platelet count was positively correlated with maximum amplitude, alpha angle, G parameter, and clotting index, and significantly lower in patients who developed venous thromboembolism than those who did not (median 186 vs 278 103/μL, p = 0.046). Venous thromboembolism was associated with inhospital mortality (odds ratio, 6.3; 95% CI, 1.4–29; p = 0.02).

Conclusions:
Our data do not support the use of thromboelastography to risk stratify critically ill adults with coronavirus disease 2019 for the development of venous thromboembolism or to guide decisions about anticoagulation. Lower platelet count on ICU admission, which may reflect platelet aggregation, was associated with venous thromboembolism.
Opening of BKCa channels causes migraine attacks: a new downstream target for the treatment of migraine
Authors: Al-Karagholi Mohammad Al-Mahdi , Ghanizada Hashmat , Waldorff Nielsen Cherie Amalie , Skandarioon Camilla , Snellman Josefin , Lopez-Lopez Cristina , Hansen Jakob Møller , Ashina Messoud 
Published: March 2021

AbstractMigraine is a common and frequently disabling neurological disorder, but the initiating migraine mechanisms are still poorly understood. Potassium channel opening may cause migraine, and we therefore examined the migraine-inducing effect of MaxiPost, a large (big)-conductance calcium-activated potassium (BKCa) channel opener, on migraine induction and cephalic vasodilation in individuals with migraine. Twenty-six patients with migraine without aura were randomly allocated to receive an infusion of MaxiPost or placebo on 2 study days separated by at least 1 week. The primary endpoint was the difference in incidence of migraine attacks after MaxiPost compared with placebo. The secondary endpoints were the difference in incidence of headaches and the difference in area under the curve for headache intensity scores (0-12 hours), for middle cerebral artery blood flow velocity (VMCA) (0-2 hours), and for superficial temporal artery and radial artery diameter. Twenty-two patients completed the study. Twenty-one of 22 (95%) developed migraine attacks after MaxiPost compared with none after placebo (P< 0.0001); the difference of incidence is 95% (95% confidence interval 86%-100%). The incidence of headache over the 12-hour observation period was higher after MaxiPost day (n = 22) than after placebo (n = 7) (P< 0.0001). We found a significant increase of VMCAand superficial temporal and radial arteries' diameter. Because BKCachannel opening initiates migraine attacks, we suggest that BKCachannel blockers could be potential candidates for novel antimigraine drugs.
A thermal nociceptive patch in the S2 cortex of nonhuman primates: a combined functional magnetic resonance imaging and electrophysiology study
Authors: Ye Xiang , Yang Pai-Feng , Liu Qing , Dillenburger Barbara D. , Friedman Robert M. , Chen Li Min 
Published: March 2021

Abstract
Human functional magnetic resonance imaging (fMRI) and behavioral studies have established the roles of cortical areas along the Sylvian fissure in sensing subjective pain. Yet, little is known about how sensory aspects of painful information are represented and processed by neurons in these regions and how their electrophysiological activities are related to fMRI signals. The current study aims to partially address this critical knowledge gap by performing fMRI-guided microelectrode mapping and recording studies in the homologous region of the parietal operculum in squirrel monkeys under light anesthesia. In each animal studied (n = 8), we detected mesoscale mini-networks for heat nociception in cortical regions around the lateral sulcus. Within the network, we discovered a ∼1.5 × 1.5-mm2-sized cortical patch that solely contained heat nociceptive neurons that aligned with the heat fMRI activation locus. These neurons responded slowly to thermal (heat and cold) nociceptive stimuli exclusively, continued firing for several seconds after the succession of stimulation, and exhibited multidigit receptive fields and high spontaneous firing rates. Similar to the fMRI responses, increasing temperatures in the nociceptive range led to a nonlinear increase in firing rates. The finding of a clustering of heat nociceptive neurons provides novel insights into the unique functional organization of thermal nociception in the S2 subregion of the primate brain. With fMRI, it supports the existence of a modality-preferred heat nociceptive patch that is spatially separated and intermingled with touch patches containing neurons with comparable receptive fields and the presence of functionally distinct mini-networks in primate opercular cortex.
Improving Throughput for Mid-acuity Patients in the Pediatric Emergency Department
Authors: Payne Asha S. , Brown Kathleen M. , Berkowitz Deena , Pettinichi Jeanne , Schultz Theresa Ryan , Thomas Anthony , Chamberlain James M. , Morrison Sephora N. 
Published: March 2021

Purpose:
Visits to pediatric emergency departments (EDs) are increasing, leading to overcrowding, prolonged patient wait times, and negative patient experiences. In our system, these prolonged wait times and negative experiences notably impact mid-acuity patients. As such, we sought to decrease their time-to-first-provider from 92 to 60 minutes.

Methods:
After identifying inefficiencies in patient arrival, triage, and assessment, we redesigned our physical space and implemented a new triage process. Further, we deployed a new multidisciplinary front-end team consisting of a physician, nurses, and ED tech specialists to create and implement an initial management plan. Time-to-first-provider for mid-acuity patients was the main outcome measure. We examined ED length of stay (LOS) as a balancing measure. Post hoc, we measured time-to-first-nursing assessment and the proportion of high-acuity patients seen within 20 minutes as additional measures of the impact of these interventions on our system. All analyses were measured using statistical process control charts.

Results:
During high patient volumes, we decreased the time-to-first-provider to 70 minutes, but exceeded our goal during low patient volumes (41 minutes). We observed a 5% decrease in LOS during both high and low patient volumes (5% and 8%, respectively). There was a 60% increase in the time-to-first-nursing assessment.

Conclusions:
A new front-end process resulted in improved time-to-first-provider and LOS. The new process was associated with longer times for nursing assessments but did not negatively impact the rapid physician assessment of higher acuity patients.
Metagenomic sequencing of municipal wastewater provides a near-complete SARS-CoV-2 genome sequence identified as the B.1.1.7 variant of concern from a Canadian municipality concurrent with an outbreak
Authors: Landgraff Chrystal , Wang Lu Ya Ruth , Buchanan Cody , Wells Matthew , Schonfeld Justin , Bessonov Kyrylo , Ali Jennifer , Robert Erin , Nadon Celine 
Published: March 2021

AbstractLaboratory-based wastewater surveillance for SARS-CoV-2, the causative agent of the ongoing COVID-19 pandemic, can be conducted using RT-qPCR-based screening of municipal wastewater samples. Although it provides rapid viral detection and can inform SARS-CoV-2 abundance in wastewater, this approach lacks the resolution required for viral genotyping and does not support tracking of viral genome evolution. The recent emergence of several variants of concern, a result of mutations across the genome including the accrual of important mutations within the viral spike glycoprotein, has highlighted the need for a method capable of detecting the cohort of mutations associated with these and newly emerging genotypes. Here we provide an innovative methodology for the recovery of a near-complete SARS-CoV-2 sequence from a wastewater sample collected from across Canadian municipalities including one that experienced a significant outbreak attributable to the SARS-CoV-2 B.1.1.7 variant of concern. Our results demonstrate that a combined interrogation of genome consensus-level sequences and alternative alleles enables the identification of a SARS-CoV-2 variant of concern and the detection of a new allele within a viral accessory gene that may be representative of a recently evolved B.1.1.7 sublineage.
Open Data Commons for Preclinical Traumatic Brain Injury Research: Empowering Data Sharing and Big Data Analytics
Authors: Chou Austin , Espin Abel Torres , Huie J.Russell , Krukowski Karen , Lee Sangmi , Nolan Amber , Guglielmetti Caroline , Hawkins Bridget E. , Chaumeil Myriam M. , Manley Geoffrey T. , Beattie Michael S. , Bresnahan Jacqueline C. , Martone Maryann E. , Grethe Jeffrey S. , Rosi Susanna , Ferguson Adam R. 
Published: March 2021

AbstractTraumatic brain injury (TBI) is a major unsolved public health problem worldwide with considerable preclinical research dedicated to recapitulating clinical TBI, deciphering the underlying pathophysiology, and developing therapeutics. However, the heterogeneity of clinical TBI and correspondingly in preclinical studies have made translation from bench to bedside difficult. Here, we present the potential of data sharing, data aggregation, and multivariate analytics to integrate heterogeneity and empower researchers. We introduce the Open Data Commons for Traumatic Brain Injury (ODC-TBI.org) as a user-centered web platform and cloudbased repository focused on preclinical TBI research that enables data citation with persistent identifiers, promotes data element harmonization, and follows FAIR data sharing principles. Importantly, the ODC-TBI implements data sharing at the level of individual subjects, thus enabling data reuse for granular big data analytics and data-hungry machine learning approaches. We provide use cases applying descriptive analytics and unsupervised machine learning on pooled ODC-TBI data. Descriptive statistics included subject-level data for 11 published papers (N = 1250 subjects) representing six distinct TBI models across mice and rats (implementing controlled cortical impact, closed head injury, fluid percussion injury, and CHIMERA TBI modalities). We performed principal component analysis (PCA) on cohorts of animals combined through the ODC-TBI to identify persistent inflammatory patterns across different experimental designs. Our workflow ultimately improved the sensitivity of our analyses in uncovering patterns of pro- vs anti-inflammation and oxidative stress without the multiple testing problems of univariate analyses. As the practice of open data becomes increasingly required by the scientific community, ODC-TBI provides a foundation that creates new scientific opportunities for researchers and their work, facilitates multi-dataset and multidimensional analytics, and drives collaboration across molecular and computational biologists to bridge preclinical research to the clinic.
Structure of SOQ1 lumenal domains identifies potential disulfide exchange for negative regulation of photoprotection, qH
Authors: Yu Guimei , Pan Xiaowei , Hao Jingfang , Shi Lifang , Zhang Yong , Wang Jifeng , Xiao Yang , Yang Fuquan , Lou Jizhong , Chang Wenrui , Malnoë Alizée , Li Mei 
Published: March 2021

AbstractNon-photochemical quenching (NPQ) plays an important role for phototrophs in decreasing photo-oxidative damage. qH is a sustained component of NPQ and depends on the plastid lipocalin (LCNP). A thylakoid membrane-anchored protein SUPPRESSOR OF QUENCHING1 (SOQ1) prevents qH formation by inhibiting LCNP. SOQ1 suppresses qH with its lumen-located C-terminal Trx-like and NHL domains. Here we report crystal structures and biochemical characterization of SOQ1 lumenal domains. Our results show that the Trx-like and NHL domains are stably associated, with the potential redox-active motif located at their interface. Residue E859 essential for SOQ1 function is pivotal for mediating the inter-domain interaction. Moreover, the C-terminal region of SOQ1 forms an independent β-stranded domain, which possibly interacts with the Trx-like domain through disulfide exchange. Furthermore, SOQ1 is susceptible to cleavage at the loops connecting the neighboring domains both in vitro and in vivo, which could be a regulatory process for its suppression function of qH.
Stable brain PET metabolic networks using a multiple sampling scheme
Authors: Schu Guilherme , Brum Wagner Scheeren , Rodrigues Yuri Elias , Cesar de Azeredo Julio , Pascoal Tharick A. , Benedet Andrea Lessa , Mathotaarachchi Sulantha , Rosa-Neto Pedro , Almeida Jorge , Zimmer Eduardo R. ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: March 2021

AbstractThe human brain’s interregional communication is vital for its proper functioning. A promising direction for investigating how these regions communicate relies on the assumption that the brain is a complex network. In this context, images derived from positron emission tomography (PET) have been proposed as a potential source for understanding brain networks. However, such networks are often assembled via direct computation of inter-subject correlations, neglecting variabilities between subjects and jeopardizing the construction of group representative networks. Here, we used [18F]FDG-PET data from 1027 individuals at different syndromal stages (352 CU, 621 MCI and 234 AD) to develop a novel method for constructing stable (i.e. resilient to spurious data points) metabolic brain networks. Our multiple sampling (MS) scheme generates brain networks with higher stability when compared to the conventional approach. In addition, the proposed method is robust to imbalanced datasets and requires 50% fewer subjects to achieve stability than the conventional approach. Our method has the potential to considerably boost PET data reutilization and advance our understating of human brain network patterns in health and disease.