bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systems perspective on the importance of global health strategy developments for accomplishing today’s Sustainable Development Goals
Authors: Byskov Jens , Maluka Stephen , Marchal Bruno , Shayo Elizabeth H , Blystad Astrid , Bukachi Salome , Zulu Joseph M , Michelo Charles , Hurtig Anna-Karin , Bloch Paul 
Published: May 2019

Abstract
Priority setting within health systems has not led to accountable, fair and sustainable solutions to improving population health. Providers, users and other stakeholders each have their own health and service priorities based on selected evidence, own values, expertise and preferences. Based on a historical account, this article analyses if contemporary health systems are appropriate to optimize population health within the framework of cross cutting targets of the Sustainable Development Goals (SDGs). We applied a scoping review approach to identify and review literature of scientific databases and other programmatic web and library-based documents on historical and contemporary health systems policies and strategies at the global level. Early literature supported the 1977 launching of the global target of Health for All by the year 2000. Reviewed literature was used to provide a historical overview of systems components of global health strategies through describing the conceptualizations of health determinants, user involvement and mechanisms of priority setting over time, and analysing the importance of historical developments on barriers and opportunities to accomplish the SDGs. Definitions, scope and application of health systems-associated priority setting fluctuated and main health determinants and user influence on global health systems and priority setting remained limited. In exploring reasons for the identified lack of SDG-associated health systems and priority setting processes, we discuss issues of accountability, vested interests, ethics and democratic legitimacy as conditional for future sustainability of population health. To accomplish the SDGs health systems must engage beyond their own sector boundary. New approaches to Health in All Policies and One Health may be conducive for scaling up more democratic and inclusive priority setting processes based on proper process guidelines from successful pilots. Sustainable development depends on population preferences supported by technical and managerial expertise.
Plant Evolutionary Ecology in the Age of the Extended Evolutionary Synthesis
Authors: Olson Mark E 
Published: May 2019

AbstractPlant ecology is increasingly turning to evolutionary questions, just as evolutionary biology pushes out of the strictures of the Modern Synthesis into what some regard as an “Extended Evolutionary Synthesis.” As plant ecology becomes increasingly evolutionary, it is essential to ask how aspects of the Extended Synthesis might impinge on plant ecological theory and practice. I examine the contribution of plant evolutionary ecology to niche construction theory, as well as the potential for developmental systems theory and genes-as-followers adaptive evolution, all important post-Modern Synthesis themes, in providing novel perspectives for plant evolutionary ecology. I also examine ways that overcoming dichotomies such as “genetic vs. plastic” and “constraint vs. adaptation” provide fertile opportunities for plant evolutionary ecologists. Along the same lines, outgrowing vague concepts such as “stress” and replacing them with more precise terminology in all cases provides vastly increased causal clarity. As a result, the synthetic path that plant ecologists are blazing, becoming more evolutionary every year, bodes extremely well for the field, with vast potential for expansion into important scientific territory.
Integrated Pest Management of Longan (Sapindales: Sapindaceae) in Vietnam
Authors: Tran Hanh , Van Hoa Nguyen , Muniappan Rangaswamy , Amrine James , Naidu Rayapati , Gilbertson Robert , Sidhu Jaspreet 
Published: May 2019

AbstractThis paper describes the current state of pests and diseases of longan (Dimocarpus longan Lour.) and their management in Vietnam. Longan is the third most cultivated fruit crop and second major fruit crop exported from Vietnam. Brief descriptions of arthropod pests Eriophyes dimocarpi Kuang (Acari: Eriophyidae), Conogethes punctiferalis Guenée (Lepidoptera: Crambidae), Conopomorpha sinensis Bradley (Lepidoptera: Gracillariidae), Conopomorpha litchiella Bradley (Lepidoptera: Gracillariidae), Tessaratoma papillosa Drury (Hemiptera: Tessaratomidae), Eudocima phalonia L. comb. (Lepidoptera: Erebidae), oriental fruit fly Bactrocera dorsalis Hendel (Diptera: Tephretidae), Planococcus lilacinus Cockerell (Hemiptera: Pseudococcidae), Drepanococcus chiton Green (Hemiptera: Coccidae), and Cornegenapsylla sinica Yang & Li (Hemiptera: Psyllidae) and fungal diseases Phytophthora palmivora Butler (Peronosporales: Peronosporaceae), Colletotrichum gloeosporioides (Penz.) Penz. & Sacc. (Incertaesedis: Glomerellaceae), and Ceratocystis fimbriata Ellis & Halsted (Microascales: Ceratocystidaceae) affecting longan are given. The longan witches’ broom syndrome is a major factor causing 50–86% annual crop loss in Vietnam and it has been considered the primary constraint in production. The causative agent of this syndrome has been identified as the eriophyid mite E. dimocarpi. Deployment of Integrated Pest Management strategies for longan production in Vietnam is outlined.
TRIM14 promotes endothelial activation via activating NF-κB signaling pathway
Authors: Huang Xuan , Li Yong , Li Xiuzhen , Fan Daping , Xin Hong-Bo , Fu Mingui 
Published: May 2019

AbstractEndothelial activation by proinflammatory cytokines is closely associated to the pathogenesis of atherosclerosis and other vascular diseases; however, the molecular mechanisms controlling endothelial activation are not fully understood. Here we identify TRIM14 as a new positive regulator of endothelial activation via activating NF-κB signal pathway. TRIM14 is highly expressed in human vascular endothelial cells (ECs) and markedly induced by inflammatory stimuli such as TNF-α, IL-1β, and LPS. Overexpression of TRIM14 significantly increased the expression of adhesion molecules such as VCAM-1, ICAM-1, E-selectin, and cytokines such as CCL2, IL-8, CXCL-1, and TNF-α in activated ECs and by which it facilitated monocyte adhesion to ECs. Conversely, knockdown of TRIM14 has opposite effect on endothelial activation. Upon TNF-α stimulation, TRIM14 is recruited to IKK complex via directly binding to NEMO and promotes the phosphorylation of IκBα and p65, which is dependent on its K63-linked ubiquitination. Meanwhile, p65 can directly bind to the promoter regions of human TRIM14 gene and control its mRNA transcription. Finally, TRIM14 protein level is significantly upregulated in mouse and human atheroma compared to normal arteries. Taken together, these results indicate that TRIM14–NF-κB forms a positive feedback loop to enhance EC activation and TRIM14 may be a potential therapeutic target for vascular inflammatory diseases such as atherosclerosis.
Effect of atherosclerosis and the protective effect of the antioxidant vitamin E on the rabbit cerebellum
Authors: Elbeltagy Maha Abdel Fatah , Elkholy Wael Badr , Salman Ahmed Said 
Published: May 2019

AbstractBackgroundAtherosclerosis is a major cardiovascular disease and one of the commonest causes of mortality in the world. Speech, balance, fine motor control and cognition are affected by atherosclerosis of cerebellar arteries. This study investigated the protective role of vitamin E against induced atherosclerosis in the rabbit cerebellum.Materials and methodsForty Rex New Zealand adult male rabbits were randomly divided into four groups (10 rabbits each). Group I was designated as the control and received an ordinary diet. Group II received an ordinary diet, but with vitamin E (12 mg/kg/day) added. Group III were given an ordinary diet along with 1% cholesterol powder for 6 weeks. Finally, group IV received an ordinary diet with both 1% cholesterol powder and vitamin E (12 mg/kg/day). Cerebellum samples were stained with haematoxylin and eosin and examined using light microscopy, along with quantitative immunohistochemical assessments of the expression of caspase-3, glial fibrillary acidic protein (GFAP) and inducible nitric oxide synthase (iNOS).ResultsCerebellum sections from cholesterol-treated rabbits showed ischaemic changes as fibre density decreased, with vacuolation of the molecular layer, and deformed and shrunken Purkinje cells. A significant increase in caspase-3, GFAP and iNOS immunoreactivity was found. However, vitamin E administration reduced these ischaemic manifestations.ConclusionsThe results demonstrate the neurological protective role of vitamin E therapy in atherosclerosis.
Physical Employment Standards for UK Royal Navy Personnel: A Survey of Tasks That Require Muscle Strength and Endurance
Authors: Brown Piete E H , Fallowfield Joanne L 
Published: May 2019

Abstract

Introduction
Physical Employment Standards (PES) safeguard the requirement to create a suitable job-person fit in military occupations, and in doing so mitigate some operational and musculoskeletal injury risk. The primary purpose of this research was to identify critical – physically demanding tasks performed by UK Royal Navy (RN) seafarers to inform the development of a muscle strength and endurance-based PES. A secondary purpose was to explore possible sex and age-based differences in subjective ratings of occupational task physical demand.

Materials and Methods
In accordance with the Ministry of Defence Research Ethics Committee, 515 Naval personnel (443 males, 72 females; aged 30.2 ± 7.3 years) completed an anonymous survey that rated the physical demand (from no to very high), criticality (from not to critically important), and frequency (from seldom to several times per day) of 25 common sea-going tasks on a one to five scale. An a priori criteria was applied to down-select a shortlist of the most critical and physically demanding tasks (i.e., median task criticality and task physical demand scores of ≥4, and ≥3, respectively). A Mann-Whitney and Kruskal-Wallis test explored sex and age-based differences in subjective physical demand ratings.

Results
Ten (out of 25) tasks met the critical – physical demand criteria, which included the four task categories of fire fighting, damage control, casualty handling, and basic movement/transit tasks. Casualty handling emerged as the single most physically demanding task category performed by seafarers, which was rated to have “high” physical demand (4 on the 1 to 5 scale). Sex and age-based differences in subjective ratings of task physical demand were equivocal, with females rating 3 (out of the 25 tasks), and 40–51 year olds rating 4 (out of 25 tasks) to have a higher physical demand than males and 19–29 year olds, respectively.

Conclusion
Ten criterion tasks were identified and should undergo a further job analysis to inform the development of strength-based PES for the RN.
Efficient, divergence-free, high-order MHD on 3D spherical meshes with optimal geodesic meshing
Authors: Balsara Dinshaw S , Florinski Vladimir , Garain Sudip , Subramanian Sethupathy , Gurski Katharine F 
Published: May 2019

ABSTRACT
There is a great need in several areas of astrophysics and space physics to carry out high order of accuracy, divergence-free MHD simulations on spherical meshes. This requires us to pay careful attention to the interplay between mesh quality and numerical algorithms. Methods have been designed that fundamentally integrate high-order isoparametric mappings with the other high accuracy algorithms that are needed for divergence-free MHD simulations on geodesic meshes. The goal of this paper is to document such algorithms that are implemented in the geodesic mesh version of the RIEMANN code. The fluid variables are reconstructed using a special kind of WENO-AO algorithm that integrates the mesh geometry into the reconstruction process from the ground-up. A novel divergence-free reconstruction strategy for the magnetic field that performs efficiently at all orders, even on isoparametrically mapped meshes, is then presented. The MHD equations are evolved in space and time using a novel ADER predictor algorithm that is efficiently adapted to the isoparametrically mapped geometry. The application of one-dimensional and multidimensional Riemann solvers at suitable locations on the mesh then provides the corrector step. The corrector step for the magnetic field uses a Yee-type staggering of magnetic fields. This results in a scheme with divergence-free update for the magnetic field. The use of ADER enables a one-step update that only requires one messaging operation per complete timestep. This is very beneficial for parallel processing. Several accuracy tests are presented as are stringent test problems. PetaScale performance is also demonstrated on the largest available supercomputers.
QBiC-Pred: quantitative predictions of transcription factor binding changes due to sequence variants
Authors: Martin Vincentius , Zhao Jingkang , Afek Ariel , Mielko Zachery , Gordân Raluca 
Published: May 2019

Abstract
Non-coding genetic variants/mutations can play functional roles in the cell by disrupting regulatory interactions between transcription factors (TFs) and their genomic target sites. For most human TFs, a myriad of DNA-binding models are available and could be used to predict the effects of DNA mutations on TF binding. However, information on the quality of these models is scarce, making it hard to evaluate the statistical significance of predicted binding changes. Here, we present QBiC-Pred, a web server for predicting quantitative TF binding changes due to nucleotide variants. QBiC-Pred uses regression models of TF binding specificity trained on high-throughput in vitro data. The training is done using ordinary least squares (OLS), and we leverage distributional results associated with OLS estimation to compute, for each predicted change in TF binding, a P-value reflecting our confidence in the predicted effect. We show that OLS models are accurate in predicting the effects of mutations on TF binding in vitro and in vivo, outperforming widely-used PWM models as well as recently developed deep learning models of specificity. QBiC-Pred takes as input mutation datasets in several formats, and it allows post-processing of the results through a user-friendly web interface. QBiC-Pred is freely available at http://qbic.genome.duke.edu.
Pattern preferences of DNA nucleotide motifs by polyamines putrescine2+, spermidine3+ and spermine4+
Authors: Perepelytsya Sergiy , Uličný Jozef , Laaksonen Aatto , Mocci Francesca 
Published: May 2019

Abstract
The interactions of natural polyamines (putrescine2+, spermidine3+ and spermine4+) with DNA double helix are studied to characterize their nucleotide sequence pattern preference. Atomistic Molecular Dynamics simulations have been carried out for three systems consisting of the same DNA fragment d(CGCGAATTCGCGAATTCGCG) with different polyamines. The results show that polyamine molecules are localized with well-recognized patterns along the double helix with different residence times. We observed a clear hierarchy in the residence times of the polyamines, with the longest residence time (ca 100ns) in the minor groove. The analysis of the sequence dependence shows that polyamine molecules prefer the A-tract regions of the minor groove – in its narrowest part. The preferable localization of putrescine2+, spermidine3+ and spermine4+ in the minor groove with A-tract motifs is correlated with modulation of the groove width by a specific nucleotide sequences. We did develop a theoretical model pointing to the electrostatic interactions as the main driving force in this phenomenon, making it even more prominent for polyamines with higher charges. The results of the study explain the specificity of polyamine interactions with A-tract region of the DNA double helix which is also observed in experiments.
Identification and Estimation in Non-Fundamental Structural VARMA Models
Authors: Gouriéroux Christian , Monfort Alain , Renne Jean-Paul 
Published: May 2019

AbstractThe basic assumption of a structural vector autoregressive moving average (SVARMA) model is that it is driven by a white noise whose components are uncorrelated or independent and can be interpreted as economic shocks, called “structural” shocks. When the errors are Gaussian, independence is equivalent to non-correlation and these models face two identification issues. The first identification problem is “static” and is due to the fact that there is an infinite number of linear transformations of a given random vector making its components uncorrelated. The second identification problem is “dynamic” and is a consequence of the fact that, even if a SVARMA admits a non-invertible moving average (MA) matrix polynomial, it may feature the same second-order dynamic properties as a VARMA process in which the MA matrix polynomials are invertible (the fundamental representation). The aim of this article is to explain that these difficulties are mainly due to the Gaussian assumption, and that both identification challenges are solved in a non-Gaussian framework if the structural shocks are assumed to be instantaneously and serially independent. We develop new parametric and semi-parametric estimation methods that accommodate non-fundamentalness in the MA dynamics. The functioning and performances of these methods are illustrated by applications conducted on both simulated and real data.
Development and Validation of a Dynamic Risk Prediction Model to Forecast Psychosis Onset in Patients at Clinical High Risk
Authors: Studerus Erich , Beck Katharina , Fusar-Poli Paolo , Riecher-Rössler Anita 
Published: May 2019

Abstract
The prediction of outcomes in patients at Clinical High Risk for Psychosis (CHR-P) almost exclusively relies on static data obtained at a single snapshot in time (ie, baseline data). Although the CHR-P symptoms are intrinsically evolving over time, available prediction models cannot be dynamically updated to reflect these changes. Hence, the aim of this study was to develop and internally validate a dynamic risk prediction model (joint model) and to implement this model in a user-friendly online risk calculator. Furthermore, we aimed to explore the prognostic performance of extended dynamic risk prediction models and to compare static with dynamic prediction. One hundred ninety-six CHR-P patients were recruited as part of the “Basel Früherkennung von Psychosen” (FePsy) study. Psychopathology and transition to psychosis was assessed at regular intervals for up to 5 years using the Brief Psychiatric Rating Scale-Expanded (BPRS-E). Various specifications of joint models were compared with regard to their cross-validated prognostic performance. We developed and internally validated a joint model that predicts psychosis onset from BPRS-E disorganization and years of education at baseline and BPRS-E positive symptoms during the follow-up with good prognostic performance. The model was implemented as online risk calculator (http://www.fepsy.ch/DPRP/). The use of extended joint models slightly increased the prognostic accuracy compared to basic joint models, and dynamic models showed a higher prognostic accuracy than static models. Our results confirm that extended joint modeling could improve the prediction of psychosis in CHR-P patients. We implemented the first online risk calculator that can dynamically update psychosis risk prediction.
Theta-phase dependent neuronal coding during sequence learning in human single neurons
Authors: Reddy Leila , Self Matthew W. , Zoefel Benedikt , Poncet Marlène , Possel Jessy K. , Peters Judith C. , Baayen Johannes C. , Idema Sander , VanRullen Rufin , Roelfsema Pieter R. 
Published: May 2019

AbstractThe ability to maintain a sequence of items in short-term memory (STM) is a fundamental cognitive function. In the rodent hippocampus, the representation of sequentially organized spatial locations is reflected by the phase of action potentials relative to the theta oscillation (phase precession). We investigated whether the timing of neuronal activity relative to the theta brain oscillation also reflects sequence order in the medial temporal lobe of humans. We used a task in which human subjects learned sequences of pictures and recorded single neuron and local field potential activity with implanted electrodes. We report that spikes for three consecutive items in the sequence (the preferred stimulus for each cell, as well as the stimuli immediately preceding and following it) were phase-locked at distinct phases of the theta oscillation. Consistent with phase precession, spikes were fired at progressively earlier phases as the sequence advanced. These findings generalize previous findings in the rodent hippocampus to the human temporal lobe and suggest that encoding stimulus information at distinct oscillatory phases may play a role in maintaining their sequential order in STM.
Predicting patient-specific radiotherapy responses in head and neck cancer to personalize radiation dose fractionation
Authors: Enderling Heiko , Sunassee Enakshi , Caudell Jimmy J. 
Published: May 2019

AbstractHuman papillomavirus (HPV) related oropharyngeal cancer (OPC) is one of the few types of cancers increasing in incidence. HPV+ OPC treatment with radiotherapy (RT) provides 75-95% five-year locoregional control (LRC). Why some but not all patients with similar clinical stage and molecular profile are controlled remains unknown. We propose the proliferation saturation index, PSI, as a mathematical modeling biomarker of tumor growth and RT response. The model predicts that patients with PSI<0.75 are likely to be cured by radiation, and that hyperfractionated radiation could improve response rates for patients with higher PSI that are predicted to fail standard of care RT. Prospective evaluation is currently ongoing.
Sir2 non-autonomously controls differentiation of germline cells in the ovary ofDrosophila melanogaster
Authors: Ayyub Champakali , Kolthur-Seetharam Ullas 
Published: May 2019

AbstractInDrosophilaovary, germline stem cells (GSCs) reside in a somatic cell niche that provides them signals necessary for their survival and development. Escort cells (ECs), one of the constituents of the niche, help in differentiation of GSC daughter cells. Since nutritional state is known to affect oogenesis, we set out to address the role of a metabolic sensor. NAD-dependent Sir2 is known to acts as a regulator of organismal life-span in a diet dependent manner. Our current study reveals that Sir2 in somatic cells is necessary for germline differentiation. Specifically, Sir2 in ECs upregulates Dpp signalling giving rise to tumorous germaria. In addition to this non-autonomous role of Sir2 in regulation of the germline cell homeostasis, we have demonstrated that EC-specific Sir2 has a role in attributing the identity of Cap cells as well as in de-differentiation of germline cells. Our study also shows that a genetic interaction betweenSir2andupd2is important for the development of germline cells. Thus, we provide novel insights into the role of Sir2 in ovary development.