bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mining database for the clinical significance and prognostic value of CBX family in skin cutaneous melanoma
Authors: Li Ding , Liu YiRan , Hao Shuai , Chen Bo , Li AnHai 
Published: August 2020

AbstractBackgroundSkin cutaneous melanoma (SKCM) is one of the most aggressive malignancies with high invasiveness. Chromobox (CBX) family are involved in the regulation of the tumorigenesis, progression, invasion, and apoptosis of many malignancies.MethodsThe clinical significance and prognostic value of CBX family in SKCM were analyzed via a series of databases, including ONCOMINE, GEPIA, UALCAN, TIMER, GSCALite, DAVID 6.8, GeneMANIA, and LinkedOmics.ResultsWe found that the level of CBX2, CBX3, CBX5, and CBX6 was upregulated while the level of CBX7 and CBX8 was downregulated in tumor tissues in SKCM. Moreover, the mRNA expression of CBX1 and CBX2 was significantly associated with the pathological stage in SKCM. Prognosis analysis revealed that SKCM patients with high CBX5 level and low CBX7 level had a poor prognosis. Immune infiltrations analysis revealed that the expression of CBX family was associated with the abundance of certain immune cells in SKCM. We also found that CBX family were associated with the activation of cell cycle pathway and DNA damage response, and the inhibition of apoptosis pathway. Moreover, enrichment analysis revealed that CBX family and correlated genes were enriched in chromatin modification, PcG protein complex, transcription coactivator activity, protein binding, and RNA splicing. Several Kinase targets (ATM, CDK1, and PLK1) and miRNA targets (MIR‐331, MIR‐296, and MIR‐496) of CBX family were also identified.ConclusionOur study may uncover CBX family–associated molecular mechanisms involved in the tumorigenesis and progression of SKCM and provide additional choice for the prognosis and therapy biomarker for SKCM.
Development and validation of a predictive model for the prognosis in aneurysmal subarachnoid hemorrhage
Authors: Lai Xiang , Zhang Wenbo , Ye Min , Liu Xiaoping , Luo Xingda 
Published: August 2020

AbstractBackgroundThis study was to conduct a predictive model for the prognosis of aneurysmal subarachnoid hemorrhage (aSAH) and validate the clinical data.MethodsA total of 235 aSAH patients were enrolled in this study, dividing into the favorable or poor prognosis groups based on Modified Rankin Scale (mRS) at 3 months postoperatively. Multivariate analysis was assessed using binary Logistic regression and Fisher discriminant analysis. The receiver operating characteristic (ROC) curve was used to determine the cut‐off value.ResultsOur findings showed that the high Glasgow Coma Scale (GCS) score 24‐hour after surgery reduced the risk of poor prognosis, and the surgical clipping and elevated neutrophil‐lymphocyte ratio (NLR) increased the risk of poor prognosis. The discriminant function was V = 0.881 × GCS score − 0.523 × NLR − 0.422 × therapeutic approach, and V = −0.689 served as a cut‐off value. When V ≥ −0.689, the good prognosis was considered among these patients with aSAH. The correctness for predicting the prognostic outcomes by self‐validation was 85.11%.ConclusionThis predictive model established by a discriminant analysis is a useful tool for predicting the prognostic outcomes of aSAH patients, which may help clinicians identify patients at high risk for poor prognosis and optimize treatment after surgery.
Daily change patterns in mindfulness and psychological health: A pilot intervention
Authors: Kim Shin Ye , Suh Hanna , Oh Wonjung , Daheim Jacob 
Published: August 2020

AbstractObjectiveThis study examined the differences in first‐year college students' daily change trajectories in subjective happiness, depression, anxiety, stress, and state mindfulness.MethodA 5‐day, online mindfulness‐based intervention (MI) condition and stress management (SM) condition were employed in 247 first‐year college students.ResultsStudents in both the MI and SM conditions displayed similar significant linear declines in anxiety and stress, but there were significant differences between the two conditions, including: (1) the MI condition showing a significant linear increase in subjective happiness compared with no change in the SM condition and (2) the SM condition showed a significant linear decrease in depression compared to no significant change in the MI condition.ConclusionBrief online interventions—whether MI or SM—can promote better mental health and reduce psychological distress. The results also lend support for MI's differential influence on first‐year college students' happiness and SM's differential influence on their depression.
Struggling with perfectionism: When good enough is not good enough
Authors: Overholser James , Dimaggio Giancarlo 
Published: August 2020

AbstractPerfectionism includes a tendency for high standards for self and others with a clear goal of successful performance in a variety of areas. A perfectionist often reacts with critical evaluations whenever performance falls below these standards. Moreover, perfectionists emphasize personal goals to gauge their worth, neglecting intimate bonds or openness to new experience. At the core of perfectionism lies a view of self as weak, flawed, and easily rejected. Perfectionism can result in chronic tendencies for emotional distress and interpersonal conflict. Treatment aims to explore personal views of self and others, viewing perfectionism as a form of maladaptive coping. When clients understand the role of perfectionism, they can discontinue striving to meet their extreme goals and unrealistic standards. The authors of the papers in the issue present their views on how to treat these maladaptive tendencies according to their preferred therapeutic orientation.
A fern frond‐like peripheral portal vein thrombosis in a neonate: A case report
Authors: Seber Turgut 
Published: September 2020

AbstractAlthough the ultrasonographic (US) features of portal vein thrombosis in premature newborns have been described, there are very few reports on thrombosis of the peripheral branches of the portal vein. Here, I describe a case of peripheral portal vein branch thrombosis in a neonate, appearing on US imaging with a fern frond pattern.
Scanning electron microscopic and histological studies of the buccal cavity of a phytoplanktivorous small freshwater fish, Amblypharyngodon mola
Authors: Nandi Sudarshana , Saikia Surjya Kumar 
Published: August 2020

AbstractThe electron microscopic and histological studies of the buccal‐cavity of herbivorous fish Mola (Amblypharyngodon mola) were performed. The studies revealed that the architectures of the buccal cavity of A. mola support the herbivory nature of the fish. Both the upper and lower jaws of the fish are rich in mucus glands, unculi, and microridges. The presence of papillae like taste buds in the lower jaw of A. mola indicates the mechanosensory role of the lower jaw during gustation. These features directly support a gustatory feeding behavior associated with filter feeding in this small freshwater fish.
Multiwalled carbon nanotubes crowned with nickel‐ferrite magnetic nanoparticles assisted heterogeneous catalytic strategy for the synthesis of benzo[d]imidazo[2,1‐b]thiazole scaffolds
Authors: Geedkar Deepika , Kumar Ashok , Sharma Pratibha 
Published: August 2020

AbstractPresent manuscript elicits an account of the sonication promoted multicomponent reactions strategy assisted by multiwalled carbon nanotubes embraced with nickel‐ferrite (NiFe2O4‐CNTs) magnetic nanoparticles, as a heterogeneous catalyst to synthesize a novel series of pharmacologically active benzo[d]imidazo[2,1‐b]thiazole scaffolds. The synthesis of these biologically active derivatives was achieved via. A3 coupling involving 2‐aminobenzothiazole, pertinent aryl aldehydes and phenyl acetylene derivatives, proceeded in PEG 400 as green solvent under aerobic conditions to afford the products in good to excellent yields. The higher environmental compatibility and sustainability factors such as higher ecoscale score, smaller E‐factor and appreciable atom economy put this etiquette under the parasol of green chemistry precepts. The characterization of synthesized catalysts was attained through varied techniques viz. powder X‐ray diffraction, field emission scanning electron microscopy with energy‐dispersive X‐ray spectroscopy, Raman, FT‐IR, VSM and TGA‐DTA‐DTG analyses, dispersion studies, and nitrogen porosimetry analyses. The structures of the synthesized compounds were also endorsed by extensive spectroscopic studies (FT‐IR, 1H and 13C NMR, Mass) and elemental analyses.
Tocilizumab use in COVID‐19‐associated pneumonia
Authors: Okoh Alexis K. , Bishburg Eliahu , Grinberg Sagy , Nagarakanti Sandhya 
Published: August 2020

AbstractBackgroundWe sought to evaluate the effect of tocilizumab (TCB), a recombinant humanized monoclonal antibody against soluble interleukin‐6 receptors, in patients hospitalized for coronavirus disease 2019 (COVID‐19).MethodsWe included all patients with laboratory‐confirmed COVID‐19 who had completed hospitalization between March 10, 2020 and April 10, 2020 with follow‐up through April 20, 2020. Patients who received TCB in addition to standard of care within 48 h of admission were matched in a 1:2 fashion to a similar cohort who received standard of care alone. Clinical outcomes were compared between matched groups. The primary outcome was de‐escalation in oxygen therapy. Secondary outcomes were in‐hospital death, septic shock, and acute kidney injury (AKI) requiring hemodialysis.ResultsOut of 77 patients who received TCB in addition to standard of care, 34% (n = 26) received TCB within 48 h of admission. One‐to‐two propensity matching identified 20 versus 40 patients in the TCB and no‐TCB treatment arms. In the TCB group, an improvement in oxygenation was observed in 80% (n = 16) of the patients by 7 days post TCB administration. After matching, there was no difference in clinical outcomes between TCB and no‐TCB patients. In‐hospital death: 10% versus 8%; p = .823, septic shock: 10% versus 11%, p = .912, AKI requiring hemodialysis (10% vs. 13%; p = .734).ConclusionsEarly treatment with TCB in patients admitted for COVID‐19 led to an improvement in their oxygen status during hospitalization. This change however did not translate into improved survival when compared to a matched cohort with a similar clinical profile.
The prognostic role of neopterin in COVID‐19 patients
Authors: Ozger Hasan Selcuk , Dizbay Murat , Corbacioglu Seref Kerem , Aysert Pinar , Demirbas Zehra , Tunccan Ozlem Guzel , Hizel Kenan , Bozdayi Gulendam , Caglar Kayhan 
Published: August 2020

AbstractIn Coronavirus disease‐2019 (COVID‐19) cases, hyper inflammation is associated with the severity of the disease. High levels of circulating cytokines were reported in severe COVID‐19 patients. Neopterin produced by macrophages on stimulation with interferon‐gamma, which is an important cytokine in the antiviral immune response, hence it can be used to predict the severity of disease in COVID‐19 cases. In this study, it was aimed to determine the prognostic value of the neopterin for the prediction of severe disease in patients with COVID‐19. This single‐center, prospective study was conducted in hospitalized COVID‐19 patients and healthy volunteers. Severe and mild COVID‐19 cases were compared in terms of clinical and laboratory findings as well as serum neopterin levels on hospital admission. To assess the prognostic utility of neopterin between the severe and mild COVID‐19 groups, a receiver‐operating characteristic (ROC) curve was generated, and the area under the curve (AUC) was calculated. The median serum neopterin level was four times higher in COVID‐19 patients than the healthy controls (46 vs. 12 nmol/L; p < .001). The AUC value of serum neopterin was 0.914 (95% confidence interval, 0.85–0.97). The sensitivity and specificity of serum neopterin for the cut‐off value of 90 nmol/L to identify severe COVID‐19 cases were 100% and 76%, respectively. Serum neopterin levels on hospitalization were significantly higher in severe COVID‐19 disease than mild COVID‐19 patients. Neopterin levels can be used as an early prognostic biomarker for COVID‐19 on admission.
Changes of extreme climate events and related risk exposures in Huang‐Huai‐Hai river basin under 1.5–2°C global warming targets based on high resolution combined dynamical and statistical downscaling dataset
Authors: Wu Jia , Han Zhenyu , Li Rouke , Xu Ying , Shi Ying 
Published: September 2020

AbstractExtreme climate events and related risk exposures in Huang‐Huai‐Hai (HHH) river basin were projected under global warming of 1.5–2°C using the high‐resolution combined dynamical and statistical downscaling dataset. Firstly, evaluation indicated that the dataset can well reproduce the spatial distribution of all temperature extremes and most of the precipitation extremes, providing a reliable ability for future projections. Then, projections showed that the hot events were projected to increase, while the cold events were projected to decrease substantially in the whole HHH river basin for 1.5°C and 2°C global warming. The additional 0.5°C of warming roughly accelerated the increase of extreme temperatures by 0.6°C, and increased the number of heat days by 2.7 days. In addition, the rainfall events and the precipitation intensity were projected to increase while the drought events were projected to decrease, with the slight changes due to the additional 0.5°C warming. The gross domestic product (GDP) exposures to heat events and heavy rainfall increased more than nine fold for 1.5°C and 2°C global warming, while the growing population (POP) exposures to that increased by more than 100% and 20%, respectively. For the increased exposures to heat events, the changes in GDP (POP) were as important as changes in interaction effect between climate and GDP (POP), while the exposures to heavy rainfall events was mainly dominated by GDP (POP). In addition, the enhanced interaction effect was the most important factor to the increase of exposures due to additional 0.5°C of warming. Notably, the largest increases of heat events and heavy rainfall events were projected in Huaihe river basin due to the additional 0.5°C warming, accompanied by greatest increase of exposures, implying larger risk in the future.
Hypophosphatemia as an Early Metabolic Bone Disease Marker in Extremely Low‐Birth‐Weight Infants After Prolonged Parenteral Nutrition Exposure
Authors: Tan Yin‐Ling , Tsao Po‐Nien , Chou Hung‐Chieh , Yen Ting‐An , Chen Chien‐Yi 
Published: August 2020

AbstractBackgroundEarly metabolic bone disease (MBD) detection is important in preterm infants to decrease long‐term consequence. We aim to explore the early MBD biochemical marker in extremely low‐birth‐weight (ELBW) infants.MethodsRetrospective cohort study of 95 preterm infants born in a tertiary care–level neonatal intensive care unit between January 2015 and June 2018, with birth weight <1000 g. Thirty‐five infants were “nothing by mouth” for >14 days and categorized as the high‐risk group; the remaining 60 were categorized as the control group. Mineral intake in the first 14 days and the trend of serum calcium (Ca), phosphorus (P), and alkaline phosphatase (ALP) levels were compared in both groups.ResultsThe Ca and P supplementation in the first 2 weeks of life were inadequate in both groups. Compared with the control group, significantly lower serum P (mg/dL) levels were noted in the high‐risk group on weeks 2 (3.65 ± 1.2 vs 4.67 ± 1.45; P < .001), 4 (3.21 ± 0.95 vs 5.83 ± 1.18; P < .0001), and 6 (3.94 ± 1.1 vs 6.22 ± 0.78; P <.0001). There was no significant difference in the serum Ca level, and significantly higher ALP (U/L) levels were found up until 2 months of life in the high‐risk group (458.36 ± 189.02 vs 335.7 ± 111.51; P < .014).ConclusionHypophosphatemia developed as early as 2 weeks old in high‐risk preterm infants because of inadequate supplementation. Neither the serum Ca or ALP levels were affected. Thus, the routine monitoring of serum P level should be started 2 weeks after birth for early MBD detection in extremely ELBW infants.
Peru's emerging craft‐brewing industry and its implications for tourism
Authors: Duarte Alonso Abel , Kok Seng , O'Shea Michelle 
Published: August 2020

AbstractWhile the body of research on craft beer production, consumption, and tourism is growing, some regions, such as Latin America, where beer products are also popular, have received much less attention. This study addresses this knowledge gap, exploring craft breweries in Peru, where in recent years gastronomy has gained significant momentum. In doing so, Porter's three generic competitive strategies and the resource‐based view frameworks are considered. Differentiation and focus strategies, coupled with firm resources, including symbiotic relationships between restaurateurs and craft breweries, camaraderie, and continuous partnership development emerged as key competitive factors, with key implications for tourism development.
White‐Tailed Deer Population Dynamics Following Louisiana Black Bear Recovery
Authors: Peters Rebecca M. , Cherry Michael J. , Kilgo John C. , Chamberlain Michael J. , Miller Karl V. 
Published: August 2020

ABSTRACTChanging predator communities have been implicated in reduced survival of white‐tailed deer (Odocoileus virginianus) fawns. Few studies, however, have used field‐based age‐specific estimates for survival and fecundity to assess the relative importance of low fawn survival on population growth and harvest potential. We studied white‐tailed deer population dynamics on Tensas River National Wildlife Refuge (TRNWR) in Louisiana, USA, where the predator community included bobcats (Lynx rufus), coyotes (Canis latrans), and a restored population of Louisiana black bear (Ursus americanus luteolus). During 2013–2015, we radio‐collared and monitored 70 adult (≥2.5 yrs) and 21 yearling (1.5‐yr‐old) female deer. Annual survival averaged 0.815 (95% CI = 0.734–0.904) for adults and 0.857 (95% CI = 0.720–1.00) for yearlings. We combined these estimates with concurrently collected fawn survival estimates (0.27; 95% CI = 0.185–0.398) to model population trajectories and elasticities. We used estimates of nonhunting survival (annual survival estimated excluding harvest mortality) to project population growth (λ) relative to 4 levels of harvest (0, 10%, 20%, 30%). Finally, we investigated effects of reduced fawn survival on population growth under current management and with elimination of female harvest. Despite substantial fawn predation, the deer population on TRNWR was increasing (λ = 1.06) and could sustain additional female harvest; however, the population was expected to decline at 20% (λ = 0.98) and 30% (λ = 0.94) female harvest. With no female harvest, the population was projected to increase with observed (λ = 1.15) and reduced fawn survival (λ = 1.02), but the population could not sustain current female harvest (10%) if fawn survival declined (λ = 0.90). For all scenarios, adult female survival was the most elastic parameter. Given the importance of adult female survival, the relative predictability in response of adult survival to harvest management, and the difficulty in altering fawn survival, reducing female harvest is likely the most efficient approach to compensate for low fawn survival. On highly productive sites such as ours, reduction, but not necessarily elimination, of harvest can mitigate effects of low fawn survival on population growth. © 2020 The Wildlife Society.
Development and evaluation of an EHR‐based computable phenotype for identification of pediatric Crohn's disease patients in a National Pediatric Learning Health System
Authors: Khare Ritu , Kappelman Michael D. , Samson Charles , Pyrzanowski Jennifer , Darwar Rahul A. , Forrest Christopher B. , Bailey Charles C. , Margolis Peter , Dempsey Amanda ,   And the PEDSnet Computable Phenotype Working Group
Published: August 2020

AbstractObjectivesTo develop and evaluate the classification accuracy of a computable phenotype for pediatric Crohn's disease using electronic health record data from PEDSnet, a large, multi‐institutional research network and Learning Health System.Study DesignUsing clinician and informatician input, algorithms were developed using combinations of diagnostic and medication data drawn from the PEDSnet clinical dataset which is comprised of 5.6 million children from eight U.S. academic children's health systems. Six test algorithms (four cases, two non‐cases) that combined use of specific medications for Crohn's disease plus the presence of Crohn's diagnosis were initially tested against the entire PEDSnet dataset. From these, three were selected for performance assessment using manual chart review (primary case algorithm, n = 360, primary non‐case algorithm, n = 360, and alternative case algorithm, n = 80). Non‐cases were patients having gastrointestinal diagnoses other than inflammatory bowel disease. Sensitivity, specificity, and positive predictive value (PPV) were assessed for the primary case and primary non‐case algorithms.ResultsOf the six algorithms tested, the least restrictive algorithm requiring just ≥1 Crohn's diagnosis code yielded 11 950 cases across PEDSnet (prevalence 21/10 000). The most restrictive algorithm requiring ≥3 Crohn's disease diagnoses plus at least one medication yielded 7868 patients (prevalence 14/10 000). The most restrictive algorithm had the highest PPV (95%) and high sensitivity (91%) and specificity (94%). False positives were due primarily to a diagnosis reversal (from Crohn's disease to ulcerative colitis) or having a diagnosis of “indeterminate colitis.” False negatives were rare.ConclusionsUsing diagnosis codes and medications available from PEDSnet, we developed a computable phenotype for pediatric Crohn's disease that had high specificity, sensitivity and predictive value. This process will be of use for developing computable phenotypes for other pediatric diseases, to facilitate cohort identification for retrospective and prospective studies, and to optimize clinical care through the PEDSnet Learning Health System.