bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychometric qualities of the English Coping Scales of the Stress and Coping Inventory in a representative UK sample
Authors: O’Rourke Teresa , Budimir Sanja , Pieh Christoph , Probst Thomas 
Published: February 2021

Abstract
Background
The Coping Scales of the Stress and Coping Inventory (SCI; Satow in Stress- und Coping-Inventar (SCI): Test- und Skalendokumentation. Stress and coping inventory. http://www.drsatow.de, 2012) are well-established German self-report scales measuring five coping styles: Positive Thinking, Active Coping, Social Support, Support in Faith, and Alcohol and Cigarette Consumption. The purpose of this study was to translate the scales into English and to psychometrically evaluate this English version of the SCI coping scales with a representative sample of the UK population.

Methods
The coping scales of the SCI were forward–backward translated into English and administered to a representative sample according to age, gender, education, and region for the UK (N = 1006). Internal consistencies, factorial validity, and construct validity were assessed for both the original factor structure of the SCI, as well as a newly identified factor structure.

Results
The results for the original factor structure indicated good internal consistency and construct validity. The adaptive coping styles of this version were positively correlated with resilience and negatively with perceived stress. The maladaptive coping strategy, alcohol and cigarette consumption, showed the opposite correlations. The exploratory factor analysis (EFA) of the English version resulted in a five-factor structure, but some items loaded on different factors than in the German version. These new factors were Religious Coping, Social Support, Various Coping, Alcohol and Cigarette Consumption, and Reflective Coping. The novel factors showed similar correlations to resilience and perceived stress as the original factor structure. Only religious coping did not significantly correlate to perceived stress. Confirmatory factor analysis with the original factor structure of the German SCI coping scales revealed poor model fit for the English SCI coping scales.

Conclusion
The English SCI coping scales consistently and accurately measure five different coping styles. Nevertheless, the original factor structure of the SCI coping scales, when applied to an English-speaking sample, did not fit the data well. The new factor structure established by EFA is only preliminary and needs further validation in future large samples using the English version of the SCI coping scales.
Array databases: concepts, standards, implementations
Authors: Baumann Peter , Misev Dimitar , Merticariu Vlad , Huu Bang Pham 
Published: February 2021

AbstractMulti-dimensional arrays (also known as raster data or gridded data) play a key role in many, if not all science and engineering domains where they typically represent spatio-temporal sensor, image, simulation output, or statistics “datacubes”. As classic database technology does not support arrays adequately, such data today are maintained mostly in silo solutions, with architectures that tend to erode and not keep up with the increasing requirements on performance and service quality. Array Database systems attempt to close this gap by providing declarative query support for flexible ad-hoc analytics on large n-D arrays, similar to what SQL offers on set-oriented data, XQuery on hierarchical data, and SPARQL and CIPHER on graph data. Today, Petascale Array Database installations exist, employing massive parallelism and distributed processing. Hence, questions arise about technology and standards available, usability, and overall maturity. Several papers have compared models and formalisms, and benchmarks have been undertaken as well, typically comparing two systems against each other. While each of these represent valuable research to the best of our knowledge there is no comprehensive survey combining model, query language, architecture, and practical usability, and performance aspects. The size of this comparison differentiates our study as well with 19 systems compared, four benchmarked to an extent and depth clearly exceeding previous papers in the field; for example, subsetting tests were designed in a way that systems cannot be tuned to specifically these queries. It is hoped that this gives a representative overview to all who want to immerse into the field as well as a clear guidance to those who need to choose the best suited datacube tool for their application. This article presents results of the Research Data Alliance (RDA) Array Database Assessment Working Group (ADA:WG), a subgroup of the Big Data Interest Group. It has elicited the state of the art in Array Databases, technically supported by IEEE GRSS and CODATA Germany, to answer the question: how can data scientists and engineers benefit from Array Database technology? As it turns out, Array Databases can offer significant advantages in terms of flexibility, functionality, extensibility, as well as performance and scalability—in total, the database approach of offering “datacubes” analysis-ready heralds a new level of service quality. Investigation shows that there is a lively ecosystem of technology with increasing uptake, and proven array analytics standards are in place. Consequently, such approaches have to be considered a serious option for datacube services in science, engineering and beyond. Tools, though, vary greatly in functionality and performance as it turns out.
Noni fruit’s water spot appearance on the second day of harvest: a trade-off between resistance and energy
Authors: Wu Tian , Hu Danyan , Wang Qingfen 
Published: February 2021

AbstractBackgroundNoni (Morinda citrifoliaLinn.) is a tropical tree that bears climacteric fruit. Previous observations and research have shown that the second day (2 d) after harvest is the most important demarcation point when the fruit has the same appearance as the freshly picked fruit (0 d); however, they are beginning to become water spot appearance. We performed a conjoint analysis of metabolome and transcriptome data for noni fruit of 0 d and 2 d to reveal what happened to the fruit at the molecular level. Genes and metabolites were annotated to KEGG pathways and the co-annotated KEGG pathways were used as a statistical analysis.ResultsWe found 25 pathways that were significantly altered at both metabolic and transcriptional levels, including a total of 285 differentially expressed genes (DEGs) and 11 differential metabolites through an integrative analysis of transcriptomics and metabolomics. The energy metabolism and pathways originating from phenylalanine were disturbed the most. The upregulated resistance metabolites and genes implied the increase of resistance and energy consumption in the postharvest noni fruit. Most genes involved in glycolysis were downregulated, further limiting the available energy. This lack of energy led noni fruit to water spot appearance, a prelude to softening. The metabolites and genes related to the resistance and energy interacted and restricted each other to keep noni fruit seemingly hard within two days after harvest, but actually the softening was already unstoppable.ConclusionsThis study provides a new insight into the relationship between the metabolites and genes of noni fruit, as well as a foundation for further clarification of the post-ripening mechanism in noni fruit.
Forest land use discontinuity and northern red oak Quercus rubra introduction change biomass allocation and life strategy of lingonberry Vaccinium vitis-idaea
Authors: Woziwoda Beata , Dyderski Marcin K. , Jagodziński Andrzej M. 
Published: February 2021

Abstract
Background
Multi-purpose use of forests in a sustainable way forces a recognition of how introduction of alien woody species in forests with different land use histories affect native plants other than trees. Lingonberry Vaccinium vitis-idaea is an important understory component of temperate and boreal forests and provider of valuable non-wood forest products. Here we studied effects of land use changes and introduction of Northern red oak Quercus rubra on lingonberry in mesic Scots pine forests (in central Poland). We measured lingonberry cover, height of shoots, biomass of stems and leaves, and fruit productivity. Shoots were collected within 200 research plots located in recent and ancient Scots pine forests, with and without Q. rubra.

Results
We found that V. vitis-idaea reached lower cover, aboveground biomass and fruit production in recent than ancient forests and in forests with than without Q. rubra. The fruit production in recent pine forest was only 2% of that reported in ancient pine forest, and V. vitis-idaea did not reproduce generatively in forests with Q. rubra. Biomass and carbon sequestration of V. vitis-idaea in forests with alien (invasive) trees decreased by 75% compared to ancient pine forest. Effects were also clear at the individual shoot level – in less suitable conditions we found taller heights and higher biomass allocation into stems than foliage. Biomass allocation in fruiting and non-fruiting shoots in pine forests was also different – less of the dry biomass of fruiting shoots was allocated to leaves than to stems.

Conclusions
In the age of high interest in ecosystem services and discussions about usage of alien tree species as alternatives in forest management, our results clearly indicate disruption of ecosystem services provided by V. vitis-idaea in the presence of Q. rubra. Lingonberry benefited from the continuity of forest land use, however, regardless of land-use legacy, alien tree introduction led to decline in abundance of species crucial for ecosystem functioning. Therefore, to maintain valuable native species and for conservation of ecosystem services delivery, we suggest limiting the introduction of Q. rubra in areas with abundant V. vitis-idaea, especially in forests with continuous forest land-use history.
Factors affecting serum phenobarbital concentration changes in pediatric patients receiving elixir and powder formulations
Authors: Shiraishi Chihiro , Matsuda Hiroko , Ogura Toru , Iwamoto Takuya 
Published: February 2021

Abstract
Background
Phenobarbital (PB) is commonly used as elixir and powder formulations in pediatric care. Its dose adjustment is performed based on individual drug concentration monitoring. Few studies have comprehensively analyzed the variation factors for serum PB concentration. In this study, we retrospectively investigated the factors that influence serum PB concentration and assessed the impacts of dosage formulation and administration route.

Methods
This retrospective cohort study covered clinical data from January 2007 to September 2019 at Mie University Hospital. The present study included 60 pediatric patients administered the elixir and powder of PB through oral route and enteral tube. Simple and multiple linear regression analyses were performed to identify the risk factors that affect the weight-corrected PB serum concentration/dose (C/D) ratio in pediatric patients. Six subgroups were also established according to the concomitant use of drugs that potentially inhibit PB metabolism, dosage formulation, and administration route to investigate the difference in the PB C/D ratio among the subgroups.

Results
A significant regression equation to predict the PB C/D ratio was found through simple and multiple linear regression analyses, with an adjusted coefficient of determination of 0.53 (p < 0.001). Further, the concomitant uses of valproic acid (VPA) or amiodarone, which were the only two drugs seen in this study as potential inhibitors of PB, was found to have the greatest effect on the PB C/D ratio (standardized partial regression coefficient (β) = 0.543, p < 0.001). Furthermore, a significant difference in the PB C/D ratio was found between the subgroups classified by the concomitant use of VPA or amiodarone (p = 0.002). However, there were no significant correlations between the PB C/D ratio, dosage formulation, and administration route.

Conclusions
The most influential factor on the PB C/D ratio was the concomitant use of VPA or amiodarone with PB. This result could provide an important perspective in pediatric drug therapy where elixir and powder formulations are administered via the oral route and enteral tube.
“No weight for height” case detection strategies for therapeutic feeding programs: sensitivity to acute malnutrition and target composition based on representative surveys in humanitarian settings
Authors: Guesdon Benjamin , Couture Alexia , Lesieur Elise , Bilukha Oleg 
Published: February 2021

Abstract
Background
One newly proposed approach to determining eligibility of children aged 6–59 months for therapeutic feeding programs (TFPs) is to use mid-upper arm circumference (MUAC) < 115 mm, bilateral oedema or Weight-for-Age Z-score (WAZ) < − 3 as admission criteria (MUAC+SWAZ). We explored potential consequences of this approach on the eligibility for treatment, as compared with the existing WHO normative guidance. We also compared sensitivity and specificity parameters of this approach for detecting wasted children to the previously described “Expanded MUAC” approach.

Methods
We analyzed data from 558 population representative cross-sectional cluster surveys conducted since 2007. We retrieved all children classified as severe acute malnutrition (SAM), moderate acute malnutrition (MAM), and those who are both wasted and stunted (WA + ST), and calculated proportions of previously eligible children who would now be excluded from treatment, as well as proportions of non-malnourished children among those who would become eligible. We also analyzed the expected changes in the number and demographics (sex, age) of the selected populations of children according to the different admission approaches.

Results
Both MUAC+SWAZ and Expanded MUAC case detection approaches substantially increase the sensitivity in detecting SAM, as compared to an approach which restricts detection of SAM cases to MUAC< 115 mm and oedema. Improved sensitivity however is attained at the expense of specificity and would require a very large increase of the size of TFPs, while still missing a non-negligible proportion (20–25%) of the SAM caseload. While our results confirm the sensitivity of the MUAC+SWAZ case detection approach in detecting WA + ST (over 80%), they show, on the other hand, that about half of the additional target detected by using SWAZ criterion will be neither SAM nor WA + ST.

Conclusions
These results suggest that recently promoted approaches to case detection inflate TFPs’ targets through the allocation of treatment to large numbers of children who have not been shown to require this type of support, including a significant proportion of non-acutely malnourished children in the MUAC+SWAZ approach. Considering the scarcity of resources for the implementation of TFPs, the rationale of abandoning the use of WHZ and of these alternative case detection strategies need to be critically reviewed.
Immediate postpartum intrauterine contraceptive device utilization and influencing factors in Addis Ababa public hospitals: a cross-sectional study
Authors: Geda Yohannes Fikadu , Nejaga Seid Mohammed , Belete Mesfin Abebe , Lemlem Semarya Berhe , Adamu Addishiwet Fantahun 
Published: February 2021

Abstract
Background
Postpartum intrauterine device (PPIUCD) utilization remains very low in Ethiopia beside high levels of unmet need for postpartum family planning even if nongovernmental organizations efforts to promote its use. This study investigates immediate PPIUCD utilization and influencing factors.

Methods
Institution based cross-sectional study was conducted on public hospitals of Addis Ababa city. All public hospitals which have PPIUCD service were included and systematic random sampling technique was used to select 286 participants. Data were entered using Epi Data and exported to SPSS for analysis. Bivariate and multivariate logistic regression analysis was used to determine the effect of independent variables on immediate PPIUCD utilization. Variables which have P-value< 0.2 on bivariate analysis were candidate for multivariate analysis. Variables which have P-value ≤0.05 on multivariate analysis was considered as statistically significant.

Results
Utilization of immediate PPIUCD among participants who gave birth in Addis Ababa public hospitals was 26.6% (95%CI: 21.3, 31.8). Eighty one percent respondents occupation was housewife were (AOR = 0.19, 95%CI: 0.06, 0.67) less likely to utilize PPIUCD compared to those who have personal job. In the other hand respondents who have discuss about PPFP with their partner were 1.21times (AOR = 1.21, 95%CI: 1.14, 25.67) more likely to utilize PPIUCD compared to those who never discuss. Contrarily 81% of respondents who need partner approval were (AOR = 0.19, 95%CI: 0.05, 0.79) less likely to utilize PPIUCD compared to those who doesn’t need approval. Respondents who have been counseled about PPIUCD were 1.13 times (AOR = 1.13, 95%CI: 1.10, 2.21) more likely to utilize PPIUCD compared to those who were not counseled. Similarly respondents who have good knowledge about PPIUCD were 7.50 times (AOR = 7.50, 95%CI: 4.06, 9.31) more likely to utilize PPIUCD compared to those who have poor knowledge.

Conclusion
This study verifies that immediate PPIUCD utilization is high compared to other studies. Having a housewife occupation and necessity of partner approval to utilize PPIUCD have negative influences, whereas spousal discussion about PPIUCD, counseled during pregnancy and having good knowledge have positive influences on PPIUCD utilization. Therefor empowering women by the government and other organizations working on maternal health will advance immediate PPIUCD utilization.
Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy
Authors: Castiglioni Isabella , Ippolito Davide , Interlenghi Matteo , Monti Caterina Beatrice , Salvatore Christian , Schiaffino Simone , Polidori Annalisa , Gandola Davide , Messa Cristina , Sardanelli Francesco 
Published: February 2021

Abstract
Background
We aimed to train and test a deep learning classifier to support the diagnosis of coronavirus disease 2019 (COVID-19) using chest x-ray (CXR) on a cohort of subjects from two hospitals in Lombardy, Italy.

Methods
We used for training and validation an ensemble of ten convolutional neural networks (CNNs) with mainly bedside CXRs of 250 COVID-19 and 250 non-COVID-19 subjects from two hospitals (Centres 1 and 2). We then tested such system on bedside CXRs of an independent group of 110 patients (74 COVID-19, 36 non-COVID-19) from one of the two hospitals. A retrospective reading was performed by two radiologists in the absence of any clinical information, with the aim to differentiate COVID-19 from non-COVID-19 patients. Real-time polymerase chain reaction served as the reference standard.

Results
At 10-fold cross-validation, our deep learning model classified COVID-19 and non-COVID-19 patients with 0.78 sensitivity (95% confidence interval [CI] 0.74–0.81), 0.82 specificity (95% CI 0.78–0.85), and 0.89 area under the curve (AUC) (95% CI 0.86–0.91). For the independent dataset, deep learning showed 0.80 sensitivity (95% CI 0.72–0.86) (59/74), 0.81 specificity (29/36) (95% CI 0.73–0.87), and 0.81 AUC (95% CI 0.73–0.87). Radiologists’ reading obtained 0.63 sensitivity (95% CI 0.52–0.74) and 0.78 specificity (95% CI 0.61–0.90) in Centre 1 and 0.64 sensitivity (95% CI 0.52–0.74) and 0.86 specificity (95% CI 0.71–0.95) in Centre 2.

Conclusions
This preliminary experience based on ten CNNs trained on a limited training dataset shows an interesting potential of deep learning for COVID-19 diagnosis. Such tool is in training with new CXRs to further increase its performance.
Dynamic structural neuroplasticity during and after epileptogenesis in a pilocarpine rat model of epilepsy
Authors: Heysieattalab Soomaayeh , Sadeghi Leila 
Published: February 2021

Abstract
Background
The role of neuroplasticity in epilepsy has been widely studied in experimental models and human brain samples. However, the results are contradictory and it remains unclear if neuroplasticity is more related to the cause or the consequence of epileptic seizures. Clarifying this issue can provide insights into epilepsy therapies that target the disease mechanism and etiology rather than symptoms. Therefore, this study was aimed to investigate the dynamic changes of structural plasticity in a pilocarpine rat model of epilepsy.

Methods
A single acute dose of pilocarpine (380 mg/kg, i.p.) was injected into adult male Wistar rats to induce status epilepticus (SE). Animal behavior was monitored for 2 h. Immunohistochemical staining was performed to evaluate neurogenesis in the CA3 and dentate gyrus (DG) regions of hippocampus using biomarkers Ki67 and doublecortin (DCX). The Golgi-Cox method was performed to analyze dendritic length and complexity. All experiments were performed in control rats (baseline), at 24 h after SE, on day 20 after SE (latent phase), after the first and 10th spontaneous recurrent seizures (SRS; chronic phase), and in non-epileptic rats (which did not manifest SRS 36 days after pilocarpine injection).

Results
SE significantly increased the number of Ki67 and DCX-positive cells, suggesting neurogenesis during the latent phase. The dendritic complexity monitoring showed that plasticity was altered differently during epilepsy and epileptogenesis, suggesting that the two processes are completely separate at molecular and physiological levels. The numbers of spines and mushroom-type spines were increased in the latent phase. However, the dendritogenesis and spine numbers did not increase in rats that were unable to manifest spontaneous seizures after SE.

Conclusion
All parameters of structural plasticity that increase during epileptogenesis, are reduced by spontaneous seizure occurrence, which suggests that the development of epilepsy involves maladaptive plastic changes. Therefore, the maladaptive plasticity biomarkers can be used to predict epilepsy before development of SRS in the cases of serious brain injury.
Cholesteatoma surgery by open technique with reconstruction together with same session ossiculoplasty
Authors: Hasaballah Mohammed Saad , Milad Peter , Mady Ossama Mustafa , Teaima Ahmed Abdelmoneim 
Published: February 2021

AbstractBackgroundThis study was designed to evaluate the effect of mastoid cavity obliteration with bone chips and reconstruction of canal wall with tragal cartilage after canal wall down tympanomastoidectomy with cartilage ossiculoplasty in the same session. Sixty-three patients with cholesteatoma underwent the technique mentioned above; patients were followed for 1 year postoperative.ResultsNo cavity problems, median preoperative air bone gap was 32.86 ± 6.24 db, while the median postoperative air bone gap was 21.67 ± 5.99 db.ConclusionsCanal wall down mastoidectomy with obliteration of mastoid cavity is an effective option for the complete removal of cholesteatoma and same session cartilage ossiculoplasty is a viable option.