bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microinvasive Glaucoma Stent (MIGS) Surgery With Concomitant Phakoemulsification Cataract Extraction: Outcomes and the Learning Curve
Authors: Al-Mugheiry Toby S. , Cate Heidi , Clark Allan , Broadway David C. 
Published: June 2017

Purpose:
To evaluate learning effects with respect to outcomes of a microinvasive glaucoma stent (MIGS) inserted during cataract surgery in glaucoma patients.

Patients and Methods:
Single surgeon, observational cohort study of 25 consecutive Ivantis Hydrus microstent insertions, with a minimum follow-up of 12 months. A learning curve analysis was performed by assessing hypotensive effect, adverse effects, and surgical procedure duration, with respect to consecutive case number. Success was defined with respect to various intraocular pressure (IOP) targets (21, 18, 15 mm Hg) and reduction in required antiglaucoma medications. Complete success was defined as achieving target IOP without antiglaucoma therapy.

Results:
No clinically significant adverse events or learning effects were identified, although surgical time reduced with consecutive case number. Mean follow-up was 16.8 months. At final follow-up the mean IOP for all eyes was reduced from 18.1 (±3.6) mm Hg [and a simulated untreated value of 25.9 (±5.2) mm Hg] to 15.3 (±2.2) mm Hg (P=0.007; <0.0001) and the mean number of topical antiglaucoma medications was reduced from 1.96 (±0.96) to 0.04 (±0.20) (P<0.0001). Complete success (IOP<21 mm Hg, no medications) was 96% at final follow-up. Complete success (IOP<18 mm Hg, no medications) was 80% at final follow-up, but only 32% with a target IOP of <15 mm Hg (no medications).

Conclusions:
No significant learning curve effects were observed for a trained surgeon with respect to MIGS microstent insertion performed at the time of cataract surgery. Adjunctive MIGS surgery was successful in lowering IOP to <18 mm Hg and reducing/abolishing the requirement for antiglaucoma medication in eyes with open-angle glaucoma, but less successful at achieving low IOP levels (<15 mm Hg).
Gender Differences in Anxiety and Complications Early After Acute Myocardial Infarction
Authors: AbuRuz Mohannad Eid , Masa’Deh Rami 
Published: June 2017

Background:
Anxiety is the earliest psychological response to acute myocardial infarction. When anxiety persists or becomes severe, it has negative consequences including increased risk for in-hospital complications. Therefore, it is necessary to determine which groups of people are at risk for high anxiety after acute myocardial infarction.

Objective:
The aim of this study was to determine whether there is a difference in anxiety levels and rate of complications based on gender early after acute myocardial infarction.

Methods:
A comparative design was used. Patients with acute myocardial infarction were interviewed within 72 hours (mean [SD], 40 [18] hours) of admission to the hospital and completed a sociodemographic and clinical questionnaire and the Anxiety Subscale of Hospital Anxiety and Depression Scale. In addition, clinical data were abstracted from the participants’ medical record after discharge.

Results:
A total of 250 patients, with a confirmed diagnosis of acute myocardial infarction, participated in this study: 163 men and 87 women. Female patients were more anxious (15.5 [3.6] vs 8.1 [2.9], P < .01) and had more complications (1.1 [1.9] vs 0.6 [0.08], P < .05) than male patients did.

Conclusions:
Anxiety is a global problem after acute myocardial infarction. Exploration of reasons why women of different cultures are at a higher risk for anxiety after acute myocardial infarction is necessary. It is of high clinical importance to determine strategies for managing anxiety in patients with or suspected to have acute myocardial infarction, especially women.
Incorporating Relationship-Based Care Into a Nurse Education Program for Managing Disruptive Patient Behaviors
Authors: Lee Betty , Del Rosario Kristian , Byron-Iyamah Cecily 
Published: June 2017

Purpose:
In the hospitalized patient, stressors can be manifested as disruptive behaviors. Nursing staff confronted with disruptive behaviors from their patients or families may have difficulty delivering care and developing therapeutic relationships. The purpose of this project was to evaluate the effects of an education program using the concepts of relationship-based care with role-play and reflective practice on the knowledge, attitudes, and confidence of the nursing staff in managing disruptive patient behaviors.

Description:
Nursing staff (N = 68) from an adult medical unit participated in an interactive education program. We compared participants’ self-responses about knowledge, attitudes, and confidence before intervention and at 3-month and 1-year postintervention. The number of disruptive incidents requiring hospital security was also measured.

Outcome:
At 3-month and 1-year postintervention, staff reported higher levels of knowledge, attitudes, and confidence in managing disruptive behaviors. The number of disruptive incidents per 1000 patient days decreased from 0.78 to 0.39.

Conclusion:
Effectively managing disruptive behaviors creates a safe, healthy environment for patients and nurses. Role-play and reflective practice are useful educational methods to teach skills to manage these encounters. Clinical nurse specialists can play a key role in developing innovative education programs through interprofessional collaboration.
The Importance of Registries in the Postmarketing Surveillance of Surgical Meshes
Authors: Köckerling Ferdinand , Simon Thomas , Hukauf Martin , Hellinger Achim , Fortelny Rene , Reinpold Wolfgang , Bittner Reinhard 
Published: June 2017

Objective:
To assess the role of registries in the postmarketing surveillance of surgical meshes.

Background:
To date, surgical meshes are classified as group II medical devices. Class II devices do not require premarket clearance by clinical studies. Ethicon initiated a voluntary market withdrawal of Physiomesh for laparoscopic use after an analysis of unpublished data from the 2 large independent hernia registries—Herniamed German Registry and Danish Hernia Database. This paper now presents the relevant data from the Herniamed Registry.

Methods:
The present analysis compares the prospective perioperative and 1-year follow-up data collected for all patients with incisional hernia who had undergone elective laparoscopic intraperitoneal onlay mesh repair either with Physiomesh (n = 1380) or with other meshes recommended in the guidelines (n = 3834).

Results:
Patients with Physiomesh repair had a markedly higher recurrence rate compared with the other recommended meshes (12.0% vs 5.0%; P < 0.001). In the multivariable analysis, the recurrence rate was highly significantly influenced by the mesh type used (P < 0.001). If Physiomesh was used, that led to a highly significant increase in the recurrence rate on 1-year follow-up (odds ratio 2.570, 95% CI 2.057, 3.210). The mesh type used also had a significant influence on chronic pain rates.

Conclusions:
The importance of real-world data for postmarketing surveillance of surgical meshes has been demonstrated in this registry-based study. Randomized controlled trials are needed for premarket approval of new devices. The role of sponsorship of device studies by the manufacturing company must be taken into account.
Experimental signal dissection and method sensitivity analyses reaffirm the potential of fossils and morphology in the resolution of the relationship of angiosperms and Gnetales
Authors: Coiro Mario , Chomicki Guillaume , Doyle James A. 
Published: June 2017

AbstractThe placement of angiosperms and Gnetales in seed plant phylogeny remains one of the most enigmatic problems in plant evolution, with morphological analyses (which have usually included fossils) and molecular analyses pointing to very distinct topologies. Almost all morphology-based phylogenies group angiosperms with Gnetales and certain extinct seed plant lineages, while most molecular phylogenies link Gnetales with conifers. In this study, we investigate the phylogenetic signal present in published seed plant morphological datasets. We use parsimony, Bayesian inference, and maximum likelihood approaches, combined with a number of experiments with the data, to address the morphological-molecular conflict. First, we ask whether the lack of association of Gnetales with conifers in morphological analyses is due to an absence of signal or to the presence of competing signals, and second, we compare the performance of parsimony and model based approaches with morphological datasets. Our results imply that the grouping of Gnetales and angiosperms is largely the result of long branch attraction, consistent across a range of methodological approaches. Thus, there is a signal for the grouping of Gnetales with conifers in morphological matrices, but it was swamped by convergence between angiosperms and Gnetales, both situated on long branches. However, this effect becomes weaker in more recent analyses, as a result of addition and critical reassessment of characters. Even when a clade including angiosperms and Gnetales is still weakly supported by parsimony, model-based approaches favor a clade of Gnetales and conifers, presumably because they are more resistant to long branch attraction. Inclusion of fossil taxa weakens rather than strengthens support for a relationship of angiosperms and Gnetales. Our analyses finally reconcile morphology with molecules in favoring a relationship of Gnetales to conifers, and show that morphology may therefore be useful in reconstructing other aspects of the phylogenetic history of the seed plants.
Genetic Drift and Selection in Many-Allele Range Expansions
Authors: Weinstein Bryan T. , Lavrentovich Maxim O. , Möbius Wolfram , Murray Andrew W. , Nelson David R. 
Published: June 2017

AbstractWe experimentally and numerically investigate the evolutionary dynamics of four competing strains ofE. coliwith differing expansion velocities in radially expanding colonies. We compare experimental measurements of the average fraction, correlation functions between strains, and the relative rates of genetic domain wall annihilations and coalescences to simulations modeling the population as a one-dimensional ring of annihilating and coalescing random walkers with deterministic biases due to selection. The simulations reveal that the evolutionary dynamics can be collapsed onto master curves governed by three essential parameters: (1) an expansion length beyond which selection dominates over genetic drift; (2) a characteristic angular correlation describing the size of genetic domains; and (3) a dimensionless constant quantifying the interplay between a colony’s curvature at the frontier and its selection length scale. We measure these parameters with a new technique that precisely measures small selective differences between spatially competing strains and show that our simulations accurately predict the dynamics with no additional fitting. Our results suggest that that the random walk model can act as a useful predictive tool when describing the evolutionary dynamics of range expansions composed of an arbitrary number of competing alleles with different fitnesses.Author summaryPopulation expansions occur naturally during the spread of invasive species and have played a role in our evolutionary history when many of our ancestors expanded out of Africa. We use a colony of bacteria expanding into unoccupied, nutrient-rich territory on an agar plate as a model system to explore how an expanding population’s spatial structure impacts its evolutionary dynamics. Spatial structure is present in expanding microbial colonies because daughter cells migrate only a small distance away from their mothers each generation. Generally, the constituents of expansions occurring in nature and in the lab have different genetic compositions (genotypes, or alleles if a single gene differs), each instilling different fitnesses, which compete to proliferate at the frontier. Here, we show that a random-walk model can accurately predict the dynamics of four expanding strains ofE. coliwith different fitnesses; each strain represents a competing allele. Our results can be extended to describe any number of competing genotypes with different fitnesses in a naturally occurring expansions. Our model can also be used to precisely measure small selective differences between spatially competing genotypes in controlled laboratory settings.
A frequency-dependent mobilization of heterogeneous pools of synaptic vesicles shapes presynaptic plasticity
Authors: Doussau Frédéric , Schmidt Hartmut , Dorgans Kevin , Valera Antoine M. , Poulain Bernard , Isope Philippe 
Published: June 2017

ABSTRACTThe segregation of the readily releasable pool of synaptic vesicles (RRP) in sub-pool which are differentially poised for exocytosis shapes short-term plasticity at depressing synapses. Here, we used in vitro recording and modeling of synaptic activity at the facilitating mice cerebellar granule cell to Purkinje cell synapse to demonstrate the existence of two sub-pools of vesicles in the RRP that can be differentially recruited upon fast changes in the stimulation frequency. We show that upon low-frequency stimulation, a population of fully-releasable vesicles is silenced, leading to full blockage of synaptic transmission. A second population of vesicles, reluctant to release by simple stimuli, is recruited in a millisecond time scale by high-frequency stimulation to support an ultrafast recovery of neurotransmitter release after low-frequency depression. The frequency-dependent mobilization or silencing of sub-pools of vesicles in granule cell terminals should play a major role in the filtering of sensorimotor information in the cerebellum.
Molecular chaperones inject energy from ATP hydrolysis into the non-equilibrium stabilisation of native proteins
Authors: Goloubinoff Pierre , Sassi Alberto S. , Fauvet Bruno , Barducci Alessandro , De Los Rios Paolo 
Published: June 2017

AbstractProtein homeostasis, namely the ensemble of cellular mechanisms collectively controlling the activity, stability and conformational states of proteins, depends on energy-consuming processes.De novoprotein synthesis requires ATP hydrolysis for peptide bond formation. Controlled degradation by the chaperone-gated proteases requires ATP hydrolysis to unfold target proteins and render their peptide bonds accessible to hydrolysis. During and following translation, different classes of molecular chaperones require ATP hydrolysis to control the conformational state of proteins, favor their folding into their active conformation and avoid, under stress, their conversion into potentially harmful aggregates. Furthermore, specific ATP-fueled unfolding chaperones can dynamically revert aggregation itself. We used here various biochemical assays and physical modeling to show that both bacterial chaperones GroEL (HSP60) and DnaK (HSP70) can use the energy liberated by ATP hydrolysis to maintain proteins in their active state even under conditions thatdo not favor, thermodynamically, the native state. The energy from ATP hydrolysis is thus injected by the chaperones in the system and converted into an enhanced,non-equilibrium steady-statestabilization of the native state of their substrates. Upon ATP consumption, the chaperone substrates spontaneously revert to their equilibrium non-native state.
Genome-wide association study of delay discounting in 23,217 adult research participants of European ancestry
Authors: Sanchez-Roige Sandra , Fontanillas Pierre , Elson Sarah L. ,   the 23andMe Research Team, Pandit Anita , Schmidt Ellen M. , Foerster Johanna R. , Abecasis Gonçalo R. , Gray Joshua C. , de Wit Harriet , Davis Lea K. , MacKillop James , Palmer Abraham A. 
Published: June 2017

ABSTRACTDelay discounting (DD), which is the tendency to discount the value of delayed versus current rewards, is elevated in a constellation of diseases and behavioral conditions. We performed a genome-wide association study of DD using 23,127 research participants of European ancestry. The most significantly associated SNP was rs6528024 (P= 2.40 × 10−8), which is located in an intron of the geneGPM6B. We also showed that 12% of the variance in DD was accounted for by genotype, and that the genetic signature of DD overlapped with attention-deficit/hyperactivity disorder, schizophrenia, major depression, smoking, personality, cognition, and body weight.
Model of a bilateral Brown-type central pattern generator for symmetric and asymmetric locomotion
Authors: Sobinov Anton , Yakovenko Sergiy 
Published: June 2017

AbstractThe coordinated activity of muscles is produced in part by spinal rhythmogenic neural circuits, termed central pattern generators (CPGs). A classical CPG model is a system of coupled oscillators that transform locomotor drive into coordinated and gait-specific patterns of muscle recruitment. The network properties of this conceptual model can be simulated by a system of ordinary differential equations with a physiologically-inspired coupling locus of interactions capturing the timing relationship for bilateral coordination of limbs in locomotion. While most similar models are solved numerically, it is intriguing to have a full analytical description of this plausible CPG architecture to illuminate the functionality within this structure and to expand it to include steering control. Here, we provided a closed-form analytical solution contrasted against the previous numerical method. The computational load of the analytical solution was decreased by order of magnitude when compared to the numerical approach (relative errors, <0.01%). The analytical solution tested and supported the previous finding that the input to the model can be expressed in units of the desired limb locomotor speed. Furthermore, we performed parametric sensitivity analysis in the context of controlling steering and documented two possible mechanisms associated with either an external drive or intrinsic CPG parameters. The results identify specific propriospinal pathways that may be associated with adaptations within the CPG structure. The model offered several network configurations that may generate the same behavioral outcomes.New & NoteworthyUsing a simple process of leaky integration, we developed an analytical solution to a robust model of spinal pattern generation. We analyzed the ability of this neural element to exert locomotor control of the signal associated with limb speeds and tested the ability of this simple structure to embed steering control using the velocity signal in the model’s inputs or within the internal connectivity of its elements.
Species-specific adaptations determine how aridity and biotic interactions drive the assembly of dryland plant communities
Authors: Berdugo Miguel , Maestre Fernando T. , Kéfi Sonia , Gross Nicolas , Le Bagousse-Pinguet Yoann , Soliveres Santiago 
Published: June 2017

AbstractDespite being a core ecological question, disentangling individual and interacting effects of plant-plant interactions, abiotic factors and species-specific adaptations as drivers of community assembly is challenging. Studies addressing this issue are growing rapidly, but they generally lack empirical data regarding species interactions and local abundances, or cover a narrow range of environmental conditions.We analysed species distribution models and local spatial patterns to isolate the relative importance of key abiotic (aridity) and biotic (facilitation and competition) drivers of plant community assembly in drylands worldwide. We examined the relative importance of these drivers along aridity gradients and used information derived from the niches of species to understand the role that species-specific adaptations to aridity play in modulating the importance of community assembly drivers.Facilitation, together with aridity, was the major driver of plant community assembly in global drylands. Due to community specialization, the importance of facilitation as an assembly driver decreased with aridity, and became non significant at the border between arid and semiarid climates. Under the most arid conditions, competition affected species abundances in communities dominated by specialist species. Due to community specialization, the importance of aridity in shaping dryland plant communities peaked at moderate aridity levels.Synthesis: We showed that competition is an important driver of community assembly even under harsh environments, and that the effect of facilitation collapses as driver of species relative abundances under high aridity because of the specialization of the species pool to extremely dry conditions. Our findings pave the way to develop more robust species distribution models aiming to predict the consequences of ongoing climate change on community assembly in drylands, the largest biome on Earth.
Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms
Authors: Bonaiuto James J , Rossiter Holly E , Meyer Sofie S , Adams Natalie , Little Simon , Callaghan Martina F , Dick Fred , Bestmann Sven , Barnes Gareth R 
Published: June 2017

AbstractMagnetoencephalography (MEG) is a direct measure of neuronal current flow; its anatomical resolution is therefore not constrained by physiology but rather by data quality and the models used to explain these data. Recent simulation work has shown that it is possible to distinguish between signals arising in the deep and superficial cortical laminae given accurate knowledge of these surfaces with respect to the MEG sensors. This previous work has focused around a single inversion scheme (multiple sparse priors) and a single global parametric fit metric (free energy). In this paper we use several different source inversion algorithms and both local and global, as well as parametric and non-parametric fit metrics in order to demonstrate the robustness of the discrimination between layers. We find that only algorithms with some sparsity constraint can successfully be used to make laminar discrimination. Importantly, local t-statistics, global cross-validation and free energy all provide robust and mutually corroborating metrics of fit. We show that discrimination accuracy is affected by patch size estimates, cortical surface features, and lead field strength, which suggests several possible future improvements to this technique. This study demonstrates the possibility of determining the laminar origin of MEG sensor activity, and thus directly testing theories of human cognition that involve laminar- and frequency- specific mechanisms. This possibility can now be achieved using recent developments in high precision MEG, most notably the use of subject-specific head-casts, which allow for significant increases in data quality and therefore anatomically precise MEG recordings.