bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exact schemes for second-order linear differential equations in self-adjoint cases
Authors: Vizvari Zoltan , Sari Zoltan , Klincsik Mihaly , Odry Peter 
Published: September 2020

AbstractWhen working with mathematical models, to keep the model errors as small as possible, a special system of linear equations is constructed whose solution vector yields accurate discretized values for the exact solution of the second-order linear inhomogeneous ordinary differential equation (ODE). This case involves a 1D spatial variable x with an arbitrary coefficient function $\kappa (x)$
κ
(
x
)
and an arbitrary source function $f(x)$
f
(
x
)
at each grid point under Dirichlet or/and Neumann boundary conditions. This novel exact scheme is developed considering the recurrence relations between the variables. Consequently, this scheme is similar to those obtained using the finite difference, finite element, or finite volume methods; however, the proposed scheme provides the exact solution without any error. In particular, the adequate test functions that provide accurate values for the solution of the ODE at arbitrarily located grid points are determined, thereby eliminating the errors originating from discretization and numerical approximation.
DHPV: a distributed algorithm for large-scale graph partitioning
Authors: Adoni Wilfried Yves Hamilton , Nahhal Tarik , Krichen Moez , El byed Abdeltif , Assayad Ismail 
Published: September 2020

AbstractBig graphs are part of the movement of “Not Only SQL” databases (also called NoSQL) focusing on the relationships between data, rather than the values themselves. The data is stored in vertices while the edges model the interactions or relationships between these data. They offer flexibility in handling data that is strongly connected to each other. The analysis of a big graph generally involves exploring all of its vertices. Thus, this operation is costly in time and resources because big graphs are generally composed of millions of vertices connected through billions of edges. Consequently, the graph algorithms are expansive compared to the size of the big graph, and are therefore ineffective for data exploration. Thus, partitioning the graph stands out as an efficient and less expensive alternative for exploring a big graph. This technique consists in partitioning the graph into a set of k sub-graphs in order to reduce the complexity of the queries. Nevertheless, it presents many challenges because it is an NP-complete problem. In this article, we present DPHV (Distributed Placement of Hub-Vertices) an efficient parallel and distributed heuristic for large-scale graph partitioning. An application on a real-world graphs demonstrates the feasibility and reliability of our method. The experiments carried on a 10-nodes Spark cluster proved that the proposed methodology achieves significant gain in term of time and outperforms JA-BE-JA, Greedy, DFEP.
‘All hands-on deck’, working together to develop UK standards for public involvement in research
Authors: Crowe Sally , Adebajo Ade , Esmael Hothan , Denegri Simon , Martin Angela , McAlister Bob , Moore Barbara , Quinn Martin , Rennard Una , Simpson Julie , Wray Paula , Yeeles Philippa 
Published: September 2020

Abstract
Background
Public involvement in research is an established part of the research process in the UK, however there remain questions about what good public involvement in research looks and feels like. Until now public involvement practitioners, researchers and members of the public have looked for answers in examples shared across networks, published case studies, guidance and research articles. Pulling these strands together, the UK Standards for Public Involvement provides six statements (standards) about public involvement in research. They were produced by a partnership of organisations from Scotland, Northern Ireland, Wales and England with contributions from involvement practitioners, public partners, researchers and research funders.

Main body
Each standard has reflective questions, which are designed to encourage standard users to use approaches and behaviours that improve involvement, over time. The standards are designed to be used as a practical tool, and reflect the agreed hallmarks of good public involvement in research for example, flexibility in approaches used, shared learning, and mutual respect.
The standards development process is described from the initial idea and scoping, via the appraisal of existing standard sets and integration of values and principles in public involvement in research. The collaborative writing process of and consultation on the draft standard set is described, together with what changed as a result of feedback. The initiation of a year-long testing programme with forty participating research organisations, the experiential feedback and the resulting changes to the standards is summarised.

Conclusion
This commentary paper describes, in some detail, a process to develop a set of six standards for public involvement in research in the UK. Producing a complex, national public involvement initiative is not without its challenges, and in supplementary material partnership members reflect on and share their experiences of standards development. The next phase of integration and implementation is explored with concluding comments from those that tested and helped improve the standards.
Postpartum depression and associated factors among postpartum women in Ethiopia: a systematic review and meta-analysis, 2020
Authors: Tolossa Tadesse , Fetensa Getahun , Yilma Mekdes Tigistu , Abadiga Muktar , Wakuma Bizuneh , Besho Merga , Fekadu Ginenus , Etafa Werku 
Published: September 2020

Abstract

Introduction
The postpartum period is recognized as a high-risk period for the development of various mood disorders like postpartum depression. Globally, postnatal depression is a serious public health problem that has a negative impact on the mother’s health and child development, especially in developing countries. In Ethiopia, even though there are different primary studies conducted on postpartum depression, there is no nationally representative evidence. Therefore, the aim of this systematic review and meta-analysis was to estimate the pooled prevalence and associated factors of postpartum depression in Ethiopia.

Methods
Published and unpublished articles from various electronic databases and digital libraries were accessed. This systematic review included studies that were conducted on the magnitude and factors associated with postpartum depression among postnatal women in Ethiopia. A random-effect model was used to estimate the pooled magnitude of postpartum depression with a 95% confidence interval (CI). Inverse variance (I2) was used to visualize the presence of heterogeneity, and forest plot was used to estimate the pooled magnitude of postpartum depression. Publication bias was assessed by funnel plots and Egger’s statistical tests. A meta-regression and subgroup analysis were computed to minimize underlying heterogeneity.

Result
Initially, a total of 764 studies were accessed. Twenty-eight full articles were assessed for eligibility criteria, of which twelve studies fulfilled inclusion criteria were included in the final meta-analysis. The overall pooled magnitude of postpartum depression was 22.89% (95% CI 17.75%, 28.03%) with the lowest (12.20%) and highest (33.82%) in the Southern nations region. Unplanned pregnancy, domestic violence, lack of social support, previous history of depression, infant loss, and dissatisfaction in marriage showed a statistically significant association with postpartum depression.

Conclusions
In the current analysis, the prevalence of postpartum depression was high as compared with other developing countries. Routine screening of mothers in the postpartum period and integrating mental health with maternal health care is highly recommended.
Collection and use of EQ-5D for follow-up, decision-making, and quality improvement in health care - the case of the Swedish National Quality Registries
Authors: Ernstsson Olivia , Janssen Mathieu F. , Heintz Emelie 
Published: September 2020

Abstract
Background
The Swedish National Quality Registries (NQRs) contain individual-level health care data for specific patient populations, or patients receiving specific interventions. Approximately 90% of the 105 Swedish NQRs include any patient-reported outcome measure, with EQ-5D being the most common. As there has been no general overview of EQ-5D data within the NQRs, this study fills a knowledge gap by reporting how the data are collected, presented, and used at different levels of the Swedish health care system.

Methods
All 46 NQRs with a license for the use of EQ-5D were included. Information was retrieved from the registries’ annual reports or from websites, using a template that was subsequently sent to each registry for completion and confirmation. If considered necessary, the contact was followed-up with an interview, either in-person or over the telephone. The uses of EQ-5D were categorised as denoting usage for follow-up, decision-making, or quality improvement in Swedish health care.

Results
In total, 41 of the 46 licensed registries reported collection of EQ-5D data. EQ-5D is most commonly collected within registries related to the musculoskeletal system, but it has a wide application also in other disease areas. Thirty-six registries provide EQ-5D results to patients, clinicians, or other decision-makers. Twenty-two of the registries reported that EQ-5D data are being used for follow-up, decision-making or quality improvement. The registries most commonly reported use of data for assessing interventions, and in quality indicators to follow-up the quality of care at a national level.

Conclusion
Collection and use of EQ-5D data vary across the Swedish NQRs, which may partly be accounted for by the different purposes of the registries. The provided examples of use illustrate how EQ-5D data can inform decisions at different levels of the health care system. However, there is potential for improving the use of EQ-5D data.
Weighting bias and inflation in the time of COVID-19: evidence from Swiss transaction data
Authors: Seiler Pascal 
Published: September 2020

AbstractSharp changes in consumer expenditure may bias inflation during the COVID-19 pandemic. Using public data from debit card transactions, I quantify these changes in consumer spending, update CPI basket weights and construct an alternative price index to measure the effect of the COVID-induced weighting bias on the Swiss consumer price index. I find that inflation was higher during the lock-down than suggested by CPI inflation. The annual inflation rate of the COVID price index was −0.4% by April 2020, compared to −1.1% of the equivalent CPI. Persistent “low-touch” consumer behavior can further lead to inflation being underestimated by more than a quarter of a percentage point until the end of 2020.
Comparison of post-spinal back pain after midline versus paramedian approaches for urologic surgeries
Authors: Dadkhah Payman , Hashemi Masoud , Gharaei Babak , Bigdeli Mohammad Hassan , Solhpour Ali 
Published: September 2020

Abstract
Introduction
Low back pain after spinal anesthesia is of concern in lithotomy position. During our study, low back pain in both midline and paramedian approaches after spinal anesthesia in lithotomy position was compared.

Material and methods
Spinal anesthesia was performed by two approaches of midline and paramedian by an expert. The midline at middle line and paramedian at 1 cm inferior and 1 cm lateral to the spinous process performed with the needle type of Quincke 25G. The severity of back pain in patients was measured with numerical rating scale method by an anesthesiology assistant 24 and 72 h and a week after surgery.

Results
A total of 139 patients were studied. After 24 h, back pain in the midline group was 21% and in the paramedian group was 25.4%, respectively. There were no significant differences between them. In the first 24 h, the only significant variable was the number of tries. In patients with ≥ 2 times of tries for performing spinal anesthesia, multivariate analysis of patients showed back pain to be 4.7 times more common compared to single try (OR 4.70, CI 1.79–10.18; p = 0.001).

Conclusion
There were no significant differences between the two methods of midline and paramedian approaches after spinal anesthesia in the incidence of back pain. However, two or more times of tries compared with one time try had increased risk of low back pain.
Integrated selection criteria in sugarcane breeding programs using discriminant function analysis
Authors: Abu-Ellail Farrag F. B. , Hussein Eman M. A. , El-Bakry A. 
Published: September 2020

Abstract
Background
Selection indices help the plant breeders to discriminate desirable genotypes on the basis of phenotypic performance. Therefore, the present study was conducted to evaluate thirty sugarcane genotypes (clones) along with two check cultivars in two cropping seasons at Mattana Agricultural Research Station.

Results
The results showed the studied traits observed in all genotypes were significantly different. The results could significantly discriminate between low and high sugar yield genotypes by describing eleven traits including sugar yield (ton/fed), cane yield (ton/fed), number of stalk/m2, stalk weight (kg), stalk height (cm), stalk diameter (cm), number of internodes, Brix %, sucrose %, purity %, and sugar recovery %. High sugar yield genotypes were selected by discriminant analysis. The discriminant score (DS) could explain 79.2% of sugar yield variations and had a significant canonical correlation (0.89**). Results of discriminant function analysis (DFA) indicated that the most important traits, in order of appearance, are stalk weight, stalk height, purity %, Brix%, and cane yields.

Conclusions
Genotypes, G.2017-43, G.2017-42, G.2017-29, G.2017-33, and G.2017-44, showed the highest values of the discriminant score and were recognized as the highest yielder sugarcane genotypes. While the genotypes named Vis, G.2017-30, G.2017-10, G.2017-27, G.2017-25, G.2017-70, G.2017-41, G.2017-40, G.2017-35, and G.2017-58, recognized as the lowest yielder sugarcane genotypes which represent the lowest values of the discriminant score.
Diet-induced changes in bacterial communities in the jejunum and their associations with bile acids in Angus beef cattle
Authors: Liu Jianan , Liu Fang , Cai Wentao , Jia Cunling , Bai Ying , He Yanghua , Zhu Weiyun , Li Robert W. , Song Jiuzhou 
Published: September 2020

AbstractBackgroundThe small intestine, while serving as the main absorption organ, also possesses a unique bacterial environment and holds the critical function of conversion of primary bile acids. Bile acids are, in turn, able to regulate bacterial composition and promote the growth of bacteria that convert primary bile acids to secondary bile acids. However, in beef cattle, few studies have explored the influence of diets on jejunal bacterial communities and examined its relationships with bile acids. Here, we examined the impact of grain- and grass-based diets on jejunal and fecal bacterial communities’ composition and investigated possible association of bacterial features with bile acids.ResultsWe demonstrated that the influences of diets on intestinal bacteria can be observed in young beef cattle after weaning. A significantly higher level of microbial diversity was documented in feces of grass-fed cattle comparing to grain-fed cattle. Top 20 important genera identified with random forest analysis on fecal bacterial community can be good candidates for microbial biomarkers. Moreover, the jejunal bacteria of adult Angus beef cattle exhibited significant differences in microbial composition and metabolic potential under different diets. Global balances and bacteria signatures predictive of bile acids were identified, indicative of the potential association of bacterial features with bile acids.ConclusionsThe findings from this study provided novel insights into the relationships between jejunal bacteria and bile acids under different diets in Angus beef cattle. Our results should help us gain a better understanding of potential health benefits of grass-fed beef.
Creating bespoke note by note dishes and drinks inspired by traditional foods
Authors: Burke Róisín M. , Danaher Pauline , Hurley David 
Published: September 2020

AbstractFrench physical chemist, Hervé This, first proposed Note by Note (NbN) cooking in 1994. It is an application of molecular gastronomy and involves the use of compounds, either pure or in mixtures, rather than traditional food ingredients to make dishes. A review of international activities, relating to NbN cooking and cuisine, reveals that it has the potential to contribute to the creation of bespoke foods and drinks, e.g., by using ingredients which are sustainable and which provide nutritional value. However the ‘food neophobia’ of some consumers needs to be overcome to ensure its success. In light of these findings, it was decided to explore if and how the factors of food neophobia, sustainability and nourishment influenced students when they were developing their NbN dishes/drinks for their module assignment in TU Dublin. One hundred and five students at TU Dublin have, since 2013, completed NbN assignments and their corresponding reports which provide details of the development of their dishes/drinks. Eighty-seven of these were available for analysis. It was found that the majority of the students (62%) were inspired by traditional foods to create bespoke NbN dishes/drinks, helping to address the ‘food neophobia’ of some consumers. The development of one of these dishes and one of these drinks is discussed. This information would be beneficial for others who will be developing NbN dishes/drinks.
Long-term Bone Loss and Deterioration of Microarchitecture After Gastric Bypass in African American and Latina Women
Authors: Krez Alexandra , Agarwal Sanchita , Bucovsky Mariana , McMahon Donald J , Hu Yizhong , Bessler Marc , Schrope Beth , Carrelli Angela , Clare Shannon , Guo Xiang-Dong Edward , Silverberg Shonni J , Stein Emily M 
Published: September 2020

AbstractContextThe prevalence of obesity is burgeoning among African American and Latina women; however, few studies investigating the skeletal effects of bariatric surgery have focused on these groups.ObjectiveTo investigate long-term skeletal changes following Roux-en-Y gastric bypass (RYGB) in African American and Latina women.DesignFour-year prospective cohort study.PatientsAfrican American and Latina women presenting for RYGB (n = 17, mean age 44, body mass index 44 kg/m2) were followed annually for 4 years postoperatively.Main Outcome MeasuresDual-energy x-ray absorptiometry (DXA) measured areal bone mineral density (aBMD) at the spine, hip, and forearm, and body composition. High-resolution peripheral quantitative computed tomography measured volumetric bone mineral density (vBMD) and microarchitecture. Individual trabecula segmentation-based morphological analysis assessed trabecular morphology and connectivity.ResultsBaseline DXA Z-Scores were normal. Weight decreased ~30% at Year 1, then stabilized. Parathyroid hormone (PTH) increased by 50% and 25-hydroxyvitamin D was stable. By Year 4, aBMD had declined at all sites, most substantially in the hip. There was significant, progressive loss of cortical and trabecular vBMD, deterioration of microarchitecture, and increased cortical porosity at both the radius and tibia over 4 years. There was loss of trabecular plates, loss of axially aligned trabeculae, and decreased trabecular connectivity. Whole bone stiffness and failure load declined. Risk factors for bone loss included greater weight loss, rise in PTH, and older age.ConclusionsAfrican American and Latina women had substantial and progressive bone loss, deterioration of microarchitecture, and trabecular morphology following RYGB. Further studies are critical to understand the long-term skeletal consequences of bariatric surgery in this population.
The Oncocytic Variant of Poorly Differentiated Thyroid Carcinoma Shows a Specific Immune-Related Gene Expression Profile
Authors: Metovic Jasna , Vignale Chiara , Annaratone Laura , Osella-Abate Simona , Maletta Francesca , Rapa Ida , Cabutti Francesco , Patriarca Silvia , Gallo Marco , Nikiforov Yuri E , Volante Marco , Papotti Mauro 
Published: September 2020

Abstract

Background
Poorly differentiated thyroid cancer (PDTC) is a rare, follicular cell-derived neoplasm with an unfavorable prognosis. The oncocytic variant of PDTC may be associated with even more adverse outcome than classical PDTC cases, but its specific molecular features are largely unknown. Our aim was to explore the immune-related gene expression profile of oncocytic and classical PDTC, in correlation with clinical and pathological characteristics (including programmed death ligand 1 [PD-L1] expression) and outcome, and in comparison with a control group of well-differentiated follicular carcinomas (WDFCs), including conventional follicular carcinomas (FTCs) and Hürthle cell carcinomas (HCCs).

Methods
A retrospective series of 48 PDTCs and 24 WDFCs was analyzed by means of NanoString technology employing the nCounter PanCancer Immune Profiling panel. Gene expression data were validated using quantitative real-time polymerase chain reaction.

Results
Oncocytic PDTCs showed a specific immune-related gene expression profile, with higher expression of LAIR2, CD274, DEFB1, IRAK1, CAMP, LCN2, LY96, and APOE, and lower expression of NOD1, as compared to conventional PDTCs. This molecular signature was associated with increased intratumoral lymphocytic infiltration, PD-L1 expression, and adverse outcome. Three of these genes, CD274, DEFB1, and IRAK1, as well as PD-L1 expression, were also the hallmarks of HCCs as compared to FTCs. By contrast, the panel of genes differentially regulated in PDTCs as compared to WDFCs was unrelated to the oncocytic phenotype.

Conclusions
Our results revealed a distinctive immune-related gene expression profile of oncocytic PDTC and confirmed a more aggressive outcome in this cancer subtype. These findings may provide guidance when exploring novel immunotherapeutic options for oncocytic PDTC patients.
Depression-like behaviors induced by defective PTPRT activity through dysregulated synaptic functions and neurogenesis
Authors: Lim So-Hee , Shin Sangyep , Kim Myoung-Hwan , Kim Eung Chang , Lee Da Yong , Moon Jeonghee , Park Hye-Yeon , Ryu Young-Kyoung , Kang Young-Mi , Kang Yu Jeong , Kim Tae Hwan , Lee Na-Yoon , Kim Nam-Soon , Yu Dae-Yeul , Shim Insop , Gondo Yoichi , Satake Masanobu , Kim Eunhee , Kim Kyoung-Shim , Min Sun Seek , Lee Jae-Ran 
Published: September 2020

ABSTRACT
PTPRT has been known to regulate synaptic formation and dendritic arborization of hippocampal neurons. PTPRT−/− null and PTPRT-D401A mutant mice displayed enhanced depression-like behaviors compared with wild-type mice. Transient knockdown of PTPRT in the dentate gyrus enhanced the depression-like behaviors of wild-type mice, whereas rescued expression of PTPRT ameliorated the behaviors of PTPRT-null mice. Chronic stress exposure reduced expression of PTPRT in the hippocampus of mice. In PTPRT-deficient mice the expression of GluR2 (also known as GRIA2) was attenuated as a consequence of dysregulated tyrosine phosphorylation, and the long-term potentiation at perforant–dentate gyrus synapses was augmented. The inhibitory synaptic transmission of the dentate gyrus and hippocampal GABA concentration were reduced in PTPRT-deficient mice. In addition, the hippocampal expression of GABA transporter GAT3 (also known as SLC6A11) was decreased, and its tyrosine phosphorylation was increased in PTPRT-deficient mice. PTPRT-deficient mice displayed reduced numbers and neurite length of newborn granule cells in the dentate gyrus and had attenuated neurogenic ability of embryonic hippocampal neural stem cells. In conclusion, our findings show that the physiological roles of PTPRT in hippocampal neurogenesis, as well as synaptic functions, are involved in the pathogenesis of depressive disorder.