bluuebunny/crossref_metadata_2025_split huggingface dataset:
Allocation of structural funds before and after the brexit: An exercise in the economics of cake-sharing
Authors: Heijman Wim 
Published: June 2018

What impact has the Brexit on the allocation of money from the structural funds? As the UK is a net contributor to the EU budget, the budget for Structural and Cohesion Policy will shrink. This will have an impact on the allocations of the structural funds to the remaining members of the EU. In order to estimate the allocation of the structural funds to the remaining EU members an allocation model is developed in this article. It appears that the model results do not only show the sharing of the cake, but also the size of it.
JEL Code: F00, Q00
The pattern of collective memory denial experienced by the student victims’ mothers of 1998-1999 Trisakti-Semanggi Tragedy
Authors: Zein Rizqy Amelia , Alfian Ilham Nur 
Published: June 2018

This research aimed to uncover collective memory denial of the victims’ families of Students who died in Trisakti and Semanggi Tragedy 1998-1999. We described how this pattern of collective memory denial works. This research used the qualitative approach to the instrumental case study. The participants were three mothers of students who died in Trisakti and Semanggi tragedy. We carried out interviews and field note as data collecting technique. This data was analysed using thematic analysis technique. The result showed that there is a denial of collective memory which is experienced by victims’ families of students who died at Trisakti and Semanggi tragedy. The pattern is formed systematically, orderly, and deliberately. This denial showed that the government deliberately prevented the people to remember this tragedy. Collective memory denial causes so many negative effects, such as conspiracy of silence on the people and second victimization for victims’ families. Moreover, these effects included the form of prejudice, mistrust, aversion, and vengeance between the people. When social sharing continuously assembles, it will finish the emotional problem of a negative event. On the other hand, social sharing will develop subjective well-being of the people in that community, not only in short-term but also in long-term. Collective memory which is healthy distributed, motivates the community to discuss, express, and cope the painful trauma in the past.
Linking a Total Ankle Arthroplasty Registry to Medicare Inpatient Claims without Unique Identifiers
Authors: Raman Sudha R. , Hammill Bradley G. , Queen Robin M. , Adams Samuel B. , Curtis Lesley H. 
Published: June 2018

Background:
Linking clinical registries to administrative claims data enables researchers to capitalize on the specific strengths of each data source with respect to the depth, breadth, and completeness of information. The objectives of this study were to link a health-system-based orthopaedic surgery registry to U.S. Medicare claims data without the use of unique identifiers and to assess the representativeness of the linked records.

Methods:
The registry included clinical data for patients ≥65 years of age who underwent elective, inpatient total ankle arthroplasty (TAA) in a single health system during the period of 2007 through 2012. Registry participants were identified within the Medicare data by linking registry procedures to TAA procedures within the claims data using a combination of procedure date, patient date of birth, and patient sex. We assessed the representativeness of the linked records by comparing them to both unlinked registry records and unlinked Medicare records for TAA procedures. Additionally, we described the availability of postsurgical data for linked records.

Results:
Of 360 TAA registry participants ≥65 years of age, 280 (77.8%) were matched to a Medicare record; 250 (89.3%) of those 280 participants were matched on the basis of a linking rule that required an exact match for procedure date, date of birth, and sex. The 280 linked records comprised 5.5% of all Medicare TAA procedures among beneficiaries ≥65 years of age enrolled in the fee-for-service Medicare program (n = 5,070). Compared with linked records, unlinked records were more likely to be for patients 65 to 69 years old, but the 2 groups were similar in terms of sex, body mass index, and availability of clinical measurements. Of the linked records, 214 (76.4%) had ≥3 years of postoperative follow-up claims data.

Conclusions:
Linkage without unique patient identifiers between an orthopaedic registry and Medicare claims data is feasible, allows for assessment of representativeness, and creates a unique resource of longitudinal data for research.
Laboratory Tests for Diagnosis of Chronic Periprosthetic Joint Infection Can Help Predict Outcomes of Two-Stage Exchange
Authors: Dwyer Maureen K. , Damsgaard Christopher , Wadibia Jason , Wong Gordon , Lazar Damien , Smith Eric , Talmo Carl , Bedair Hany 
Published: June 2018

Background:
Although 2-stage exchange arthroplasty is the most effective treatment among available strategies for managing chronic periprosthetic joint infection (PJI), rates of its success vary greatly. The purpose of our study was to examine whether objective measurements collected at the time of the diagnosis of PJI could be used to identify patients at risk of failure of 2-stage exchange.

Methods:
We identified 205 patients across 4 institutions who underwent 2-stage exchange arthroplasty for the treatment of PJI following total hip or total knee arthroplasty. Demographic, surgical, and laboratory data were obtained for each patient from their medical chart. Laboratory values included serum erythrocyte sedimentation rate (ESR), serum C-reactive protein (CRP) level, synovial fluid white blood-cell (WBC) count and neutrophil percentage, synovial fluid and/or tissue culture, and Gram stain. Patients who underwent revision surgery for recurrent infection were considered to have failed the 2-stage procedure. Demographic, surgical, and laboratory variables were compared between the 2 groups. Receiver operating characteristic (ROC) curves were constructed to determine threshold cutoffs for significant laboratory values. Risk ratios and 95% confidence intervals were calculated.

Results:
Overall, 2-stage exchange was unsuccessful for 27.3% of the patients. Preoperative serum ESR (p = 0.035) and synovial fluid WBC count (p = 0.008) and neutrophil percentage (p = 0.041) were greater in patients with recurrent infection. ROC curve analysis revealed a threshold of >60,000 cells/μL for synovial fluid WBC count, >92% for synovial fluid WBC neutrophil percentage, and >99 mm/hr for serum ESR. Failure of 2-stage exchange was 2.5 times more likely for patients with an elevated preoperative synovial fluid WBC count, 2.0 times more likely for those with an elevated preoperative synovial fluid WBC neutrophil percentage, and 1.8 times more likely for those with an elevated preoperative serum ESR.

Conclusions:
Our results demonstrated that a greater number of patients in whom 2-stage exchange arthroplasty ultimately failed had a preoperative synovial fluid WBC count of >60,000 cells/μL, a synovial fluid WBC neutrophil percentage of >92%, or a serum ESR of >99 mm/hr. Patients with elevated laboratory values had 1.8 to 2.5 times the risk of treatment failure. These data can serve as a clinical guideline to identify patients most at risk for failure of 2-stage exchange.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Novel Method for Evaluating Shale-Gas and Shale-Tight-Oil Reservoirs Using Advanced Well-Log Data
Authors: Freedman Robert , Rose David , Sun Boqin , Brown Ronald L. , Malizia Thomas 
Published: June 2018

Summary
We introduce a novel well-logging method for determining more-accurate total porosities, fluid volumes, and kerogen volumes in shale-gas and shale-tight-oil wells. Improved accuracy is achieved by self-consistently accounting for the effects of light hydrocarbons and kerogen on the log responses. The logging measurements needed to practice this method are bulk densities, nuclear-magnetic-resonance (NMR) total porosities, and total-organic-carbon (TOC) weight fractions. The TOC weight fractions and the matrix densities, which are used to interpret the bulk density measurements, are both derived from geochemical-tool measurements.
Most unconventional shale-gas and shale-tight-oil reservoirs contain some nonproducible immobile hydrocarbons. When immobile hydrocarbons are present, our method requires prior knowledge of in-situ total water volumes. The water volumes can be estimated from dielectric-tool measurements. In special cases (e.g., in some mature shale-gas reservoirs) where no immobile hydrocarbons are present, a dielectric tool is not needed. In such cases total water volumes are outputs of the method.
We discuss the response functions in shale reservoirs for measurements of bulk densities, NMR porosities, and TOC weight fractions and derive exact self-consistent solutions to the response equations. The algebraic solutions are used to compute shale total porosities, fluid volumes, and kerogen volumes. The predicted shale total porosities and fluid volumes are corrected for light-hydrocarbon effects on the measured bulk densities and NMR porosities and for kerogen effects on the bulk densities. It is shown that significant errors can be made in log-derived shale total porosities if NMR porosities or density-log porosities are assumed to represent true-shale porosities without applying proper corrections.
We discuss the application of the method to the analysis of logging data acquired in a mature shale-gas well drilled in the Marcellus Shale in the northeastern United States and to data acquired in a shale-tight-oil well drilled in the Permian Basin in west Texas. A multifrequency dielectric tool is used to determine in-situ total water volumes in the tight oil well. The mature shale-gas reservoir does not contain immobile hydrocarbons, and, therefore, dielectric-logging measurements were not needed in this well. The results in both wells are shown to compare favorably with core data.
Effects of Genotype and Nitrogen Availability on Grain Yield and Quality in Sunflower
Authors: Diovisalvi Natalia , Calvo Nahuel Reussi , Izquierdo Natalia , Echeverría Hernán , Divito Guillermo A. , García Fernando 
Published: June 2018

Core IdeasPositive effect of genotype and N on yield and protein in grains and meal.No effect of genotype and N on concentration of oil in grain.High oleic genotypes showed higher protein concentration of grains and by‐products.Nitrogen increased the protein /oil ratio of the grains.Nitrogen improved the quality of sunflower by‐products.Sunflower (Helianthus annuusL.) conventional (CONV) and high oleic (HO) genotypes differ in yield and quality. Nitrogen affects grain yield, quality, and by‐products protein concentration. The objective was to evaluate the effect of genotype and N on grain yield, oil (OG) and protein (PG) concentration in grain and in by‐products (PM). The effect of genotype was evaluated in Exp. 1 with 7 CONV and 7 HO hybrids, at two planting dates (PD early and late). The effect of N (Exp. 2) was evaluated in 10 locations (3 with CONV and 7 with HO), under six N rates (0, 30, 60, 90, 120, and 150 kg N ha−1). We determined yield, OG, PGand PM. For the early PD of E1, yield was higher in HO than CONV genotypes (3822 kg ha−1vs. 3495 kg ha−1). In Exp. 2, N increased yield in 50% of the locations (HO: 586; CONV: 597 kg ha−1). In Exp. 1, genotype did not affect OG, but PGwas higher in HO than in CONV ones (18.0 vs. 16.8%, respectively). In Exp. 2, N did not affect OG, but increased PGin both types of genotypes. Consequently, PG/OGratio increased with N rates. The higher PG, was also reflected in higher PM(44.0% HO and 38.8% CONV, respectively). Increases of 2.5% points in PGresulted in increases of 5.6 in PM. Therefore, the application of N would allow obtaining high yields and PGwithout detrimental effects on OG, improving the quality of grains and by‐products.
Biomass Production and Nitrogen Accumulation by Hairy Vetch–Cereal Rye Mixtures: A Meta‐Analysis
Authors: Thapa Resham , Poffenbarger Hanna , Tully Katherine L. , Ackroyd Victoria J. , Kramer Matt , Mirsky Steven B. 
Published: June 2018

Core Ideas
We reviewed aboveground biomass and total N content of hairy vetch–cereal rye mixtures vs. monocultures.
Overall, mixtures produced equivalent or more biomass and N content as monoculture species.
Environmental and cropping system factors affected relative productivity of mixtures.
Mixtures performed better in coarse‐textured soils and following corn harvest.
With increasing GDD, mixtures productivity decreases relative to hairy vetch, but increases relative to cereal rye monocultures.
Agroecosystem services from cover crop mixtures are linked to aboveground biomass and total N content (kg ha−1). Reported values in the literature, however, vary for aboveground biomass and total N content of cover crop mixtures compared with monocultures. We conducted a meta‐analysis using results from 55 site‐years from 21 studies conducted in the United States to examine biomass and N content of hairy vetch (Vicia villosa Roth)–cereal rye (Secale cereale L.) mixtures compared with respective monocultures. Overall, hairy vetch–cereal rye mixtures produced 63 and 21% more biomass compared with hairy vetch and cereal rye monocultures, respectively. The N content of hairy vetch–cereal rye mixtures was 150% greater than that of cereal rye monocultures. When the proportion of hairy vetch seeds (by weight) exceeded 46% of the mixture, the mixtures accumulated equivalent or more N than the greatest yielding monocultures (usually hairy vetch). Compared with monocultures, a more consistent positive response of mixtures on biomass and N content was found on coarse‐textured soils and following corn (Zea mays L.) rather than soybean [Glycine max (L.) Merr.] harvest. With increasing growing degree days (GDD), the biomass and N content of mixtures decreased relative to hairy vetch monocultures but increased relative to cereal rye monocultures, suggesting better performance of hairy vetch at higher GDD. We conclude that hairy vetch–cereal rye mixtures can produce equivalent or more biomass than both monocultures and accumulate as much N as hairy vetch, and that the relative productivity of mixtures depends on soil type, previous crop, seeding proportion, and GDD.
Modeling Deficit Irrigation of Maize with the DayCent Model
Authors: Zhang Yao , Hansen Neil , Trout Tom , Nielsen David , Paustian Keith 
Published: June 2018

Core Ideas
A new version of the DayCent model was capable of simulating the responses in maize‐dominated agroecosystems under water‐deficit conditions.
The accuracy of DayCent‐simulated GLAI, biomass, SWC, and yield was similar to that observed with more complex models.
There was no significant difference in the major output variables when the stress coefficient, Ks, was calculated by the FAO method or the original DayCent method.
A promising solution to help close the gap between water demand and supply in semiarid regions is deficit irrigation strategies that use less water but aim to increase crop yield per unit of water applied. Dynamic models can be used to assess the impacts of deficit irrigation and to support decision‐making. In this study, we evaluated the capability of a new version of the DayCent agroecosystem model to model crop growth, yield, and water use in response to water‐deficit conditions resulting from different deficit irrigation strategies employed in three field experiments with maize (Zea mays L.) in eastern Colorado. Overall, the DayCent model with improved algorithms for plant canopy development provided accurate estimates of green leaf area index (GLAI) for full and deficit irrigation treatments, though the method tended to overpredict the GLAI during the late vegetative growth period in the deficit irrigation treatments. Simulated soil water content (SWC), biomass, and grain yields compared well with the field measurements. We tested the drought stress coefficient (Ks) method in the FAO Irrigation and Drainage Paper No. 56 as an alternative to the original DayCent method for estimating drought stress. There were only marginal differences between the two Ks methods in predicting the major output variables in DayCent, but the FAO method is simpler and easier to parameterize. Overall, the DayCent model can simulate the responses in agroecosystems with maize under water deficit conditions and could be used as a guide for applying deficit irrigation strategies for water savings.
Different Targeting Strategies for Treating Breast Cancer Bone Metastases
Authors: Irshad Iram , Varamini Pegah 
Published: June 2018

Background:
Breast cancer is the most frequently diagnosed malignancy in women worldwide. Breast
cancer tends to metastasize to bone. Around 70% of the breast cancer patients eventually develop bone metastasis.
After the bone invasion, metastatic cells disrupt the balance between osteoblastic and osteoclastic activities,
leading to skeletal complications, characterized by pain and pathological fractures and hence worsening the patient's
quality of life. Once tumor invades the bone, it is hard to treat it with, the so-far available treatments options
(e.g. bisphosphonates and denosumab). Bone metastasis should be essentially controlled, in cancer treatment
and there is a strong need to explore new, more efficient therapeutic targets. This review discusses the bone
physiological processes and the recent advances in exploring different pathways involved in bone metastasis.
Furthermore, some novel treatment options, which are under preclinical and clinical investigations, are highlighted.

Conclusion:
A deeper understanding of these metastatic pathways can provide oncology researchers with novel
avenues for treating bone metastasis, one of the main challenges to cure breast cancer. The restoration of healthy
bone environment will not only improve the patient's quality of life but also reduces the tumor burden.
Suicide Risk in Obsessive-Compulsive Disorder and Exploration of Risk Factors: A Systematic Review
Authors: Albert Umberto , De Ronchi Diana , Maina Giuseppe , Pompili Maurizio 
Published: June 2018

Background:Historically, OCD has been considered to be associated with a relatively low risk of suicide. Recent studies, on the contrary, revealed a significant association between OCD and suicide attempts and ideation. A huge variation in prevalence rates, however, is reported.Objective:To estimate prevalence rates of suicide attempts and suicidal ideation in individuals with OCD, and to identify predictors of suicide risk among subjects with OCD.Methods:We systematically reviewed the literature on suicide risk (ideation and/or attempts) and OCD. We included studies with appropriate definition of OCD, cross-sectional or prospective design, separating clinical samples from epidemiological studies, that employed a quantitative measure of suicidality and/or reported an outcome measure of the association between suicidality and OCD or examined factors associated with suicidality.Results:In clinical samples, the mean rate of lifetime suicide attempts is 14.2% (31 studies: range 6- 51.7%). Suicidal ideation is referred by 26.3-73.5% of individuals (17 studies, mean 44.1%); current suicidal ideation rate ranges between 6.4 and 75% (13 studies, mean 25.9). Epidemiological studies found that OCD increases significantly the odds of having a lifetime suicidal ideation as compared to the general population (OR: 1.9-10.3) and a history of lifetime suicide attempts (OR: 1.6- 9.9). Predictors of greater suicide risk are severity of OCD, the symptom dimension of unacceptable thoughts, comorbid Axis I disorders, severity of comorbid depressive and anxiety symptoms, past history of suicidality and some emotion-cognitive factors such as alexithymia and hopelessness.Conclusion:Overall, suicidality appears a relevant phenomenon in OCD.
Cognitive Impact of Cerebellar Damage: Is There a Future for Cognitive Rehabilitation?
Authors: van Dun Kim , Overwalle Frank V. , Manto Mario , Marien Peter 
Published: June 2018

Background & Objective: During the past 3 decades, numerous neurophysiological, neuroimaging,
experimental and clinical studies have evidenced a crucial role for the cerebellum in cognitive,
affective and behavioral functions. As a result of the acknowledged modulatory role of the cerebellum
upon remote structures such as the cerebral cortex, cerebellar injury may give rise to a constellation
of behavioral, affective and cognitive symptoms (Schmahmann's Syndrome). In sharp contrast
to the wide range of therapeutic interventions to treat cognitive and affective disorders following cerebral
cortical lesions and despite the consequences of Schmahmann’s syndrome upon daily life activities,
the literature is surprisingly only scantly documented with studies investigating the impact of
cognitive therapies on cerebellar induced cognitive and affective disorders. This survey aims to present
an overview of the therapeutic interventions available in the literature as a possible treatment for
Schmahmann’s Syndrome after cerebellar injury, after posterior fossa surgery in children, and in children
with neurodevelopmental disorders. Although systematical studies are clearly warranted, available
evidence suggests that cerebellar-induced cognitive and affective disorders should be treated in a
specific way. Approaches where the patients are explicitly made aware of their deficits and are considered
to act as an “external cerebellum” are the most promising.

Conclusion:
The study of the anatomical connectivity of the cerebellar microcomplexes involved in
cognitive/affective deficits is likely to play a major-role in the future.
Identification of Novel Urinary Biomarkers for Predicting Renal Prognosis in Patients With Type 2 Diabetes by Glycan Profiling in a Multicenter Prospective Cohort Study: U-CARE Study 1
Authors: Mise Koki , Imamura Mariko , Yamaguchi Satoshi , Teshigawara Sanae , Tone Atsuhito , Uchida Haruhito A. , Eguchi Jun , Nakatsuka Atsuko , Ogawa Daisuke , Yoshida Michihiro , Yamada Masao , Shikata Kenichi , Wada Jun 
Published: June 2018

OBJECTIVE
Because quantifying glycans with complex structures is technically challenging, little is known about the association of glycosylation profiles with the renal prognosis in diabetic kidney disease (DKD).

RESEARCH DESIGN AND METHODS
In 675 patients with type 2 diabetes, we assessed the baseline urinary glycan signals binding to 45 lectins with different specificities. The end point was a decrease of estimated glomerular filtration rate (eGFR) by ≥30% from baseline or dialysis for end-stage renal disease.

RESULTS
During a median follow-up of 4.0 years, 63 patients reached the end point. Cox proportional hazards analysis revealed that urinary levels of glycans binding to six lectins were significantly associated with the outcome after adjustment for known indicators of DKD, although these urinary glycans, except that for DBA, were highly correlated with baseline albuminuria and eGFR. Hazard ratios for these lectins were (+1 SD for the glycan index) as follows: SNA (recognizing glycan Siaα2-6Gal/GalNAc), 1.42 (95% CI 1.14–1.76); RCA120 (Galβ4GlcNAc), 1.28 (1.01–1.64); DBA (GalNAcα3GalNAc), 0.80 (0.64–0.997); ABA (Galβ3GalNAc), 1.29 (1.02–1.64); Jacalin (Galβ3GalNAc), 1.30 (1.02–1.67); and ACA (Galβ3GalNAc), 1.32 (1.04–1.67). Adding these glycan indexes to a model containing known indicators of progression improved prediction of the outcome (net reclassification improvement increased by 0.51 [0.22–0.80], relative integrated discrimination improvement increased by 0.18 [0.01–0.35], and the Akaike information criterion decreased from 296 to 287).

CONCLUSIONS
The urinary glycan profile identified in this study may be useful for predicting renal prognosis in patients with type 2 diabetes. Additional investigation of glycosylation changes and urinary glycan excretion in DKD is needed.