bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Imidacloprid Soil Drenching on Survival, Longevity, and Reproduction of the Zoophytophagous Predator Podisus maculiventris (Hemiptera: Pentatomidae: Asopinae)
Authors: Resende-Silva Geverson A , Joseph Deney A , Guedes Raul Narciso C , Cutler G Christopher 
Published: October 2019

Abstract
Systemic insecticides when applied as seed treatments or soil drenches are often more toxicologically selective for natural enemies than target pests. This may not be the case, however, for omnivorous predators, which are at risk of extended exposure to systemically applied pesticides through ingestion while feeding on treated plants for nutrients or water. Such exposure may kill or have sublethal consequences for these natural enemies, compromising their role as biocontrol agents of agricultural pest species. The spined soldier bug, Podisus maculiventris (Say) (Hemiptera: Pentatomidae: Asopinae), is an important zoophytophagous biocontrol agent (i.e., able to substitute zoophagy by phytophagy for survival) that may be exposed to systemic insecticides in many agricultural systems. We, therefore, examined effects on P. maculiventris following exposure to cabbage plants subject to soil-drench treatments with imidacloprid, a systemic neonicotinoid insecticide. Predator survival, development, body weight, and reproduction were recorded. Imidacloprid significantly affected nymph survival and adult emergence, but not duration of the nymphal period or adult body weight. At one-twentieth the recommended field rate for whitefly and aphid management, imidacloprid treatments reduced longevity, fecundity, and fertility of female predators. These findings demonstrate that soil treatments with systemic insecticide can negatively impact zoophytophagous natural enemies.
Irish Heritage in the Literary Remains of Frank Yerby and Henry James
Authors: Garibaldi Korey 
Published: October 2019

AbstractThis essay investigates how Irish heritage—during the long historical epoch of British colonization—figured into the literary works of Frank Yerby and Henry James. Autobiographical connections and literary affinities between these authors are illuminated and contextualized by, among other published sources, the posthumous collection of essays by the latter novelist’s father, The Literary Remains of the late Henry James (1884). While scholars are newly investigating intersections between Henry James’s oeuvre and African American literature, Yerby’s enormously popular fiction has remained by and large estranged from this new direction in Jamesian studies. When read alongside Henry James, Sr.’s unfinished autobiography featured in the Literary Remains and related nonfictional texts, Yerby’s first novel and commercial best-seller, Foxes of Harrow (1946), seems to share an eerie amount in common with both the James family’s history and their humble Irish origins. Moreover, Yerby’s narrative curiously parallels the cross-racial solidarity the Jameses were regularly credited for in the one hundred years following the American Civil War.
CCL5 of glioma-associated microglia/macrophages regulates glioma migration and invasion via calcium-dependent matrix metalloproteinase 2
Authors: Yu-Ju Wu Caren , Chen Chia-Hua , Lin Chun-Yen , Feng Li-Ying , Lin Yung-Chang , Wei Kuo-Chen , Huang Chiung-Yin , Fang Jia-You , Chen Pin-Yuan 
Published: October 2019

AbstractBackgroundGlioma-associated microglia/macrophages (GAMs) comprise macrophages of peripheral origin and brain-intrinsic microglia, which support tumor progression. Chemokine C-C ligand 5 (CCL5) is an inflammatory mediator produced by immune cells and is involved in tumor growth and migration in several cancers, including glioma. However, the mechanisms detailing how CCL5 facilitates glioma invasion remain largely unresolved.MethodsGlioma migration and invasion were determined by wound healing, transwell assay, and 3D µ-slide chemotaxis assay. The expression levels of CCL5, CD68, matrix metalloproteinase 2 (MMP2), phosphorylated Ca2+/calmodulin-dependent protein kinase II (p-CaMKII), p-Akt, and phosphorylated proline-rich tyrosine kinase 2 were determined by cytokine array, quantitative PCR, western blot, or immunohistochemistry. Zymography and intracellular calcium assays were used to analyze MMP2 activity and intracellular calcium levels, respectively.ResultsCCL5 modulated the migratory and invasive activities of human glioma cells in association with MMP2 expression. In response to CCL5, glioma cells underwent a synchronized increase in intracellular calcium levels and p-CaMKII and p-Akt expression levels. CCL5-directed glioma invasion and increases in MMP2 were suppressed after inhibition of p-CaMKII. Glioma cells tended to migrate toward GAM-conditioned media activated by granulocyte-macrophage colony-stimulating factor (GM-CSF) in which CCL5 was abundant. This homing effect was associated with MMP2 upregulation, and could be ameliorated either by controlling intracellular and extracellular calcium levels or by CCL5 antagonism. Clinical results also revealed the associations between CCL5 and GAM activation.ConclusionOur results suggest that modulation of glioma CaMKII may restrict the effect of CCL5 on glioma invasion and could be a potential therapeutic target for alleviating glioma growth.
Comparison of the Clinical Characteristics of Hospital-Acquired and Non-Hospital-Acquired Acinetobacter calcoaceticus-baumannii Complex in a Large Midwest US Health Care System
Authors: Calix Juan J , Burnham Jason P , Feldman Mario F 
Published: October 2019

Abstract
We retrospectively compared the clinical characteristics of hospital-acquired (HA) vs non-hospital-acquired (nHA) Acinetobacter calcoaceticus-baumannii complex isolates in a large health care system in St. Louis, Missouri, from 2007 to 2017. More than 60% of the total isolates were nHA; they were predominantly from nonrespiratory sources and exhibited ~40% carbapenem resistance rates and stably persisted, though HA occurrence waned.
CO Multi-line Imaging of Nearby Galaxies (COMING). IV. Overview of the project
Authors: Sorai Kazuo , Kuno Nario , Muraoka Kazuyuki , Miyamoto Yusuke , Kaneko Hiroyuki , Nakanishi Hiroyuki , Nakai Naomasa , Yanagitani Kazuki , Tanaka Takahiro , Sato Yuya , Salak Dragan , Umei Michiko , Morokuma-Matsui Kana , Matsumoto Naoko , Ueno Saeko , Pan Hsi-An , Noma Yuto , Takeuchi Tsutomu T , Yoda Moe , Kuroda Mayu , Yasuda Atsushi , Yajima Yoshiyuki , Oi Nagisa , Shibata Shugo , Seta Masumichi , Watanabe Yoshimasa , Kita Shoichiro , Komatsuzaki Ryusei , Kajikawa Ayumi , Yashima Yu , Cooray Suchetha , Baji Hiroyuki , Segawa Yoko , Tashiro Takami , Takeda Miho , Kishida Nozomi , Hatakeyama Takuya , Tomiyasu Yuto , Saita Chey 
Published: October 2019

Abstract
Observations of the molecular gas in galaxies are vital to understand the evolution and star-forming histories of galaxies. However, galaxies with molecular gas maps of their whole discs at sufficient resolution to distinguish galactic structures are severely lacking. Millimeter-wavelength studies at a high angular resolution across multiple lines and transitions are particularly needed, severely limiting our ability to infer the universal properties of molecular gas in galaxies. Hence, we conducted a legacy project with the 45 m telescope of the Nobeyama Radio Observatory, called the CO Multi-line Imaging of Nearby Galaxies (COMING), which simultaneously observed 147 galaxies with high far-infrared (FIR) flux in 12CO, 13CO, and C18O J = 1–0 lines. The total molecular gas mass was derived using the standard CO–to–H2 conversion factor and found to be positively correlated with the total stellar mass derived from the WISE 3.4 μm band data. The fraction of the total molecular gas mass to the total stellar mass in galaxies does not depend on their Hubble types nor the existence of a galactic bar, although when galaxies in individual morphological types are investigated separately, the fraction seems to decrease with the total stellar mass in early-type galaxies and vice versa in late-type galaxies. No differences in the distribution of the total molecular gas mass, stellar mass, or the total molecular gas to stellar mass ratio was observed between barred and non-barred galaxies, which is likely the result of our sample selection criteria, in that we prioritized observing FIR bright (and thus molecular gas-rich) galaxies.
Does Integrative Medicine Reduce Prescribed Opioid Use for Chronic Pain? A Systematic Literature Review
Authors: Hassan Samah , Zheng Qingping , Rizzolo Erica , Tezcanli Evrim , Bhardwaj Sukriti , Cooley Kieran 
Published: October 2019

AbstractBackgroundChronic pain (CP) is a major public health problem. Many patients with CP are increasingly prescribed opioids, which has led to an opioid crisis. Integrative medicine (IM), which combines pharmacological and complementary and alternative medicine (CAM), has been proposed as an opioid alternative for CP treatment. Nevertheless, the role of CAM therapies in reducing opioid use remains unclear.ObjectivesTo explore the effectiveness of the IM approach or any of the CAM therapies to reduce or cease opioid use in CP patients.MethodsAn online search of MEDLINE and Embase, CINAHL, PubMed supp., and Allied and Complementary Medicine Database (AMED) for studies published in English from inception until February 15, 2018, was conducted. The Mixed Methods Appraisal Tool (MMAT) was used to critically appraise selected studies.ResultsThe electronic search yielded 5,200 citations. Twenty-three studies were selected. Eight studies were randomized controlled trials, seven were retrospective studies, four studies were prospective observational, three were cross-sectional, and one was quasi-experimental. The majority of the studies showed that opioid use was reduced significantly after using IM. Cannabinoids were among the most commonly investigated approaches in reducing opioid use, followed by multidisciplinary approaches, cognitive-behavioral therapy, and acupuncture. The majority of the studies had limitations related to sample size, duration, and study design.ConclusionsThere is a small but defined body of literature demonstrating positive preliminary evidence that the IM approach including CAM therapies can help in reducing opioid use. As the opioid crisis continues to grow, it is vital that clinicians and patients be adequately informed regarding the evidence and opportunities for IM/CAM therapies for CP.
Validating reported cause of death using integrated electronic health records from a nation-wide database
Authors: Leventer-Roberts Maya , Haklai Ziona , Applbaum Yael , Goldberger Nehama , Cohen Dror , Levinkron Ohad , Feldman Becca , Balicer Ran 
Published: October 2019

Abstract

Background
To compare the underlying cause of death reported by the Israeli Central Bureau of Statistics (CBS) with diagnoses in the electronic health records (EHR) of a fully integrated payer/provider healthcare system.

Methods
Underlying cause of death was obtained from the CBS for deaths occurring during 2009–2012 of all Clalit Health Service members in Israel. The final cohort consisted of members who had complete medical records. The frequency of a supportive diagnosis in the EHR was reported for 10 leading causes of death (malignancies, heart disease, cerebrovascular disease, diabetes, kidney disease, septicemia, accidents, chronic lower respiratory disease, dementia and pneumonia and influenza).

Results
Of the 45 680 members included in the study, the majority of deaths had at least one diagnosis in the EHR that could support the cause of death. The lowest frequency of supportive diagnosis was for septicemia (52.2%) and the highest was for malignancies (94.3%). Sensitivity analysis did not suggest an alternative explanation for the missing documentation.

Conclusions
The underlying cause of death coded by the CBS is often supported by diagnoses in Clalit’s EHR. Exceptions are septicemia or accidents that cannot be anticipated from a patient’s EHR, and dementia which may be under-reported.
Knowledge and values: A re-entanglement in epistemic regimes
Authors: Feldbacher-Escamilla Christian J 
Published: October 2019

AbstractKnowledge and values are the two main ingredients of public decision-making. In the past, the predominant paradigm of such decision-making was based on an approach of value-neutral science and aimed at processing both ingredients in a disentangled way. However, this approach has some theoretical and practical drawbacks, for which reason several alternative paradigms of public decision-making arose. In this paper we highlight the importance of another paradigm of such decision-making within so-called epistemic regimes. We do so against the background of the discussion of value-neutral science and provide a conceptual analysis of the notion of a regime which allows us to outline the underlying structure of re-entangling knowledge and values in epistemic regimes.
The Constitutional Price for International Unilateralism in the European Banking Union
Authors: Dumitrescu-Pasecinic Adrian 
Published: October 2019

Abstract
In order to enter the Banking Union, non-euro EU Member States must ‘step outside’ the EU legal order and the Union’s institutional framework, and resort to unilateral instruments of public international law. If the intergovernmental method has advanced the alternative project of integration based on voluntary policy, international unilateralism is seen as a similar integration technique based on the voluntary action of non-euro Member States, ie a tool for deeper integration that appears as a variation of intergovernmentalism. This article focuses on the constitutional deficiencies caused by the choice of unilateral instruments in the institutional set-up of a close cooperation arrangement in the Single Supervisory Mechanism. At first sight, leaving the EU legal order and entering the world of international law opens entirely new perspectives for the participating Member States. The possible attraction is escaping the constraining institutional framework of EU law. However, the international law route poses significant constitutional challenges vis-à-vis compatibility with the EU law.
Time Contribution of Social Workers in Care Management
Authors: Rowe Jeannine M. , Rizzo Victoria M. , Kang Suk-Young , Kukowski Rebekah , Ewald Bonnie , Newman Michelle , Golden Robyn 
Published: October 2019

Purpose of the Study:
The purpose of this study was to examine the time contribution of social workers in delivering AIMS (Ambulatory Integration of the Medical and Social), a care management protocol designed to address patients' nonmedical needs, and the association of time contribution with patients' depression outcomes.

Primary Practice Setting:
The study was conducted in 6 primary care provider clinics housed in a large, urban academic medical center located in the Midwestern United States.

Methodology and Sample:
A longitudinal, quasi-experimental study employing survey procedures and a retrospective review of patient records was conducted. The study included 340 patients 50 years and older with unmet nonmedical needs. Half of the patients received AIMS, which was delivered by social workers. The other half received usual care (UC), which was delivered by other health care providers.

Results:
Chi-square analysis and independent-samples t tests were performed to compare time spent addressing nonmedical needs with differences in patients' depression levels at 6 months postenrollment. The findings reveal that social workers spend significantly more time with patients than UC providers addressing patients' nonmedical needs (p < .0001). At 6 months postintervention, reduced levels of depression were observed for AIMS patients when compared with UC patients (p = .026).

Implications for Care Management Practice:
Including social workers as part of health care teams is valuable. Time spent with patients and engaging in care management activities to support patients' needs is linked with positive health outcomes. Given the benefits of care management, opportunities for reimbursement are enhanced.
Science Map of Cochrane Systematic Reviews Receiving the Most Altmetric Attention: Network Visualization and Machine Learning Perspective
Authors: Kolahi Jafar , Khazaei Saber , Bidram Elham , Kelishadi Roya , Iranmanesh Pedram , Nekoofar Mohammad H. , Dummer Paul M. H. 
Published: October 2019

AbstractWe aimed to analyze and visualize the science map of Cochrane systematic reviews (CSR) with high Altmetric attention scores (AAS). On 10 May 2019, the Altmetric data of the CSR Database were obtained from the Altmetric database (Altmetric LLP, London, UK). Bibliometric data of the top 5% of CSR were extracted from the Web of Science. Keyword co-occurrence, co-authorship, and co-citation network analysis were then employed using VOSviewer software. A Random forest model was used to analyze the citation patterns. A total of 12016 CSR with AAS were found (Total mentions: 259968) with Twitter being the most popular Altmetric resource. Consequently, the top 5% (607 articles, mean AAS: 171.2, 95% confidence level (CL): 14.4, mean citations: 42.1, 95%CL: 1.3) with the highest AAS were included in the study. Keyword co-occurrence network analysis revealed female, adult, and child as the most popular keywords. Helen V. Worthington (University of Manchester, Manchester, UK), and the University of Oxford and UK had the greatest impact on the network at the author, organization and country levels respectively. The co-citation network analysis revealed that The Lancet and CSR database had the most influence on the network. However, AAS were not correlated with citations (r=0.15) although they were correlated with policy document mentions (r=0.61). The results of random forest model confirmed the importance of policy document mentions. Despite the popularity of CSR in the Twittersphere, disappointingly, they were rarely shared and discussed within the new academic tools that are emerging, such as F1000 prime, Publons, and PubPeer.Article HighlightsThe CSR database was most mentioned in Twitter.Twitter and News act as the greatest prominent issues regarding altmetric scores.
MicroRNA-mRNA networks define translatable molecular outcome phenotypes in osteosarcoma
Authors: Lietz Christopher E. , Garbutt Cassandra , Barry William T. , Deshpande Vikram , Chen Yen-Lin , Lozano-Calderon Santiago A. , Wang Yaoyu , Lawney Brian , Ebb David , Cote Gregory M. , Duan Zhenfeng , Hornicek Francis J. , Choy Edwin , Nielsen G. Petur , Haibe-Kains Benjamin , Quackenbush John , Spentzos Dimitrios 
Published: October 2019

ABSTRACTBackgroundThere is a lack of well validated biomarkers in osteosarcoma, a rare, recalcitrant disease with variable outcome and poorly understood biologic behavior, for which treatment standards have stalled for decades. The only standard prognostic factor in osteosarcoma remains the amount of pathologic necrosis following pre-operative chemotherapy, which does not adequately capture the biologic complexity of the tumor and has not resulted in optimized patient therapeutic stratification. New, robust biomarkers are needed to understand prognosis and better reflect the underlying biologic and molecular complexity of this disease.MethodsWe performed microRNA sequencing in 74 frozen osteosarcoma biopsy samples, the largest single center translationally analyzed cohort to date, and separately analyzed a multi-omic dataset from a large (n = 95) NCI supported national cooperative group cohort. Molecular patterns were tested for association with outcome and used to identify novel therapeutics for further study by integrative pharmacogenomic analysis.ResultsMicroRNA profiles were found predict Recurrence Free Survival (5-microRNA profile, Median RFS 59 vs 202 months, log rank p=0.06, HR 1.87, 95% CI 0.96-3.66). The profiles were independently prognostic of RFS when controlled for metastatic disease at diagnosis and pathologic necrosis following chemotherapy in multivariate Cox proportional hazards regression (5-microRNA profile, HR 3.31, 95% CI 1.31–8.36, p=0.01). Strong trends for survival discrimination were observed in the independent NCI dataset, and transcriptomic analysis revealed the downstream microRNA regulatory targets are also predictive of survival (median RFS 17 vs 105 months, log rank p=0.007). Additionally, DNA methylation patterns held prognostic significance. Through machine learning based integrative pharmacogenomic analysis, the microRNA biomarkers identify novel therapeutics for further study and stratified application in osteosarcoma.ConclusionsOur results support the existence of molecularly defined phenotypes in osteosarcoma associated with distinct outcome independent of clinicopathologic features. We validated candidate microRNA profiles and their associated molecular networks for prognostic value in multiple independent datasets. These networks may define previously unrecognized osteosarcoma subtypes with distinct molecular context and clinical course potentially appropriate for future application of tailored treatment strategies in different patient subgroups.
GEMtractor: Extracting Views into Genome-scale Metabolic Models
Authors: Scharm Martin , Wolkenhauer Olaf , Jalili Mahdi , Salehzadeh-Yazdi Ali 
Published: October 2019

ABSTRACTSummaryComputational metabolic models typically encode for graphs of species, reactions, and enzymes. Comparing genome-scale models through topological analysis of multipartite graphs is challenging. However, in many practical cases it is not necessary to compare the full networks. The GEMtractor is a web-based tool to trim models encoded in SBML. It can be used to extract subnetworks, for example focusing on reaction- and enzyme-centric views into the model.Availability and ImplementationThe GEMtractor is licensed under the terms of GPLv3 and developed at github.com/binfalse/GEMtractor – a public version is available at sbi.uni-rostock.de/gemtractor.Contactmartin.scharm@uni-rostock.de and ali.salehzadeh-yazdi@uni-rostock.de
A roadblock-and-kill model explains the dynamical response to the DNA-targeting antibiotic ciprofloxacin
Authors: Ojkic Nikola , Lilja Elin , Direito Susana , Dawson Angela , Allen Rosalind J. , Waclaw Bartlomiej 
Published: October 2019

AbstractFluoroquinolones - antibiotics that cause DNA damage by inhibiting DNA topoisomerases - are clinically important, but their mechanism of action is not yet fully understood. In particular, the dynamical response of bacterial cells to fluoroquinolone exposure has hardly been investigated, although the SOS response, triggered by DNA damage, is often thought to play a key role. Here we investigate growth inhibition of the bacteriumEscherichia coliby the fluoroquinolone ciprofloxacin at low doses (up to 5x the minimum inhibitory concentration). We measure the long-term and short-term (dynamic) response of the growth rate and DNA production rate to ciprofloxacin, at both population- and single-cell level. We show that despite the molecular complexity of DNA metabolism, a simple `roadblock-and-kill’ model focusing on replication fork blockage and DNA damage by ciprofloxacin-poisoned DNA topoisomerase II (gyrase) quantitatively reproduces long-term growth rates. The model also predicts dynamical changes in DNA production rate in wild typeE. coliand in an SOS-deficient mutant, following a step-up of ciprofloxacin. Our work reveals new insights into the dynamics of fluoroquinolone action, with important implications for predicting the rate of resistance evolution. Most importantly, our model explains why the response is delayed: it takes many doubling times to fragment the DNA sufficiently to inhibit gene expression. Our model also challenges the view that the SOS response plays a central role: the dynamical response is controlled by the timescale of DNA replication and gyrase binding/unbinding to the DNA rather than by the SOS response. More generally, our work highlights the importance of including biophysical processes in biochemical-systems models to fully understand bacterial response to antibiotics.