bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of cultural and linguistic diversity on hospital readmission in patients hospitalized with acute heart failure
Authors: Seman Michael , Karanatsios Bill , Simons Koen , Falls Roman , Tan Neville , Wong Chiew , Barrington-Brown Christopher , Cox Nicholas , Neil Christopher J 
Published: July 2019

Abstract

Aims
Health services worldwide face the challenge of providing care for increasingly culturally and linguistically diverse (CALD) populations. The aims of this study were to determine whether CALD patients hospitalized with acute heart failure (HF) are at increased risk of rehospitalization and emergency department (ED) visitation after discharge, compared to non-CALD patients, and within CALD patients to ascertain the impact of limited English proficiency (LEP) on outcomes.

Methods and results
A cohort of 1613 patients discharged from hospital following an episode of acute HF was derived from hospital administrative datasets. CALD status was based on both country of birth and primary spoken language. Comorbidities, HF subtype, age, sex and socioeconomic status, and hospital readmission and ED visitation incidences, were compared between groups. A Cox proportional hazard model was employed to adjust for potential confounders. The majority of patients were classified as CALD [1030 (64%)]. Of these, 488 (30%) were designated as English proficient (CALD-EP) and 542 (34%) were designated CALD-LEP. Compared to non-CALD, CALD-LEP patients exhibited a greater cumulative incidence of HF-related readmission and ED visitation, as expressed by an adjusted hazard ratio (HR) [1.27 (1.02–1.57) and 1.40 (1.18–1.67), respectively]; this difference was not significant for all-cause readmission [adjusted HR 1.03 (0.88–1.20)]. CALD-EP showed a non-significant trend towards increased rehospitalization and ED visitation.

Conclusion
This study suggests that CALD patients with HF, in particular those designated as CALD-LEP, have an increased risk of HF rehospitalization and ED visitation. Further research to elucidate the underlying reasons for this disparity are warranted.
Testing the Random Utility Hypothesis Directly
Authors: McCausland William J , Davis-Stober Clintin , Marley AAJ , Park Sanghyuk , Brown Nicholas 
Published: July 2019

Abstract
We test a set of inequalities in choice probabilities, shown to be necessary and sufficient for random utility by Falmagne (1978). We run an experiment in which each of 141 participants chooses six times from each doubleton or larger subset of a universe of five lotteries. We compute Bayes factors in favour of random utility, versus an alternative with unrestricted choice probabilities. There is strong evidence that a large majority of participants satisfy random utility; however, there is strong evidence against random utility for four participants. Results are fairly robust to the choice of prior.
Improving Care for Elders Who Prefer Informal Spaces to Age-Separated Institutions and Health Care Settings
Authors: Torres Stacy , Cao Xuemei 
Published: July 2019

AbstractBackground and ObjectivesDespite advantages of urban areas (such as walkability, public transportation, nearby shopping, and health care services), challenges remain for elders aging in place to access care. The changing demographics of older adults, with higher rates of divorce, singlehood, and childlessness, often living alone and far from family, necessitate new strategies to support health and well-being.Research Design and MethodsDrawing on 5 years of ethnographic fieldwork and 25 interviews with elders in New York City, this study presents empirical insights into older adults’ use of “third places” close to home, in conjunction with more formal settings.ResultsThis article identifies external and internalized ageism and complicated age-based identity as important reasons why older adults preferred “third places” to age-separated spaces such as senior centers and formal settings such as health care settings. We find that neighborhood “third places” offer important physical venues for older adults to process negative or hurried interactions in other formal and age-separated places.Discussion and ImplicationsThis article makes policy suggestions for increasing access and usage of essential services, including developing attractive and appealing intergenerational spaces in which older community members can obtain services and dispatching caseworkers to public spaces where elders congregate. Furthermore, this article recommends improving exchanges between health care providers and older adults so that they feel recognized, respected, and cared for, which can improve health care outcomes.
Attenuation of Helper T Cell Capacity for TH1 and TH17 Differentiation in Children With Nontuberculous Mycobacterial Infection
Authors: Claeys Tiffany A , Rosas Mejia Oscar , Marshall Samuel , Jarzembowski Jason A , Hayes Don , Hull Natalie M , Liyanage Namal P M , Chun Robert H , Sulman Cecille G , Huppler Anna R , Robinson Richard T 
Published: July 2019

Abstract
Nontuberculous mycobacteria (NTM) infect children with increasing frequency worldwide. Using blood and lymph node tissue from children with NTM lymphadenitis, and uninfected lymph node tissue from community controls, we evaluated helper T (TH) cells in functional assays of TH1/TH17 differentiation and measured the concentration of their associated cytokines at the site of infection. Circulating TH cells from infected children were attenuated in their TH1/TH17 differentiation capacity and expressed less interferon γ and interleukin 17 after polyclonal stimulation. Similar differences were observed at the site of infection, where most cytokine concentrations were unchanged relative to controls. Our data are consistent with a model wherein TH1/TH17 differentiation is attenuated in NTM-infected children.
NRF2 activates a partial epithelial-mesenchymal transition and is maximally present in a hybrid epithelial/mesenchymal phenotype
Authors: Bocci Federico , Tripathi Satyendra C , Vilchez Mercedes Samuel A , George Jason T , Casabar Julian P , Wong Pak Kin , Hanash Samir M , Levine Herbert , Onuchic José N , Jolly Mohit Kumar 
Published: July 2019

AbstractThe epithelial-mesenchymal transition (EMT) is a key process implicated in cancer metastasis and therapy resistance. Recent studies have emphasized that cells can undergo partial EMT to attain a hybrid epithelial/mesenchymal (E/M) phenotype – a cornerstone of tumour aggressiveness and poor prognosis. These cells can have enhanced tumour-initiation potential as compared to purely epithelial or mesenchymal ones and can integrate the properties of cell-cell adhesion and motility that facilitates collective cell migration leading to clusters of circulating tumour cells (CTCs) – the prevalent mode of metastasis. Thus, identifying the molecular players that can enable cells to maintain a hybrid E/M phenotype is crucial to curb the metastatic load. Using an integrated computational-experimental approach, we show that the transcription factor NRF2 can prevent a complete EMT and instead stabilize a hybrid E/M phenotype. Knockdown of NRF2 in hybrid E/M non-small cell lung cancer cells H1975 and bladder cancer cells RT4 destabilized a hybrid E/M phenotype and compromised the ability to collectively migrate to close a wound in vitro. Notably, while NRF2 knockout simultaneously downregulated E-cadherin and ZEB-1, overexpression of NRF2 enriched for a hybrid E/M phenotype by simultaneously upregulating both E-cadherin and ZEB-1 in individual RT4 cells. Further, we predict that NRF2 is maximally expressed in hybrid E/M phenotype(s) and demonstrate that this biphasic dynamic arises from the interconnections among NRF2 and the EMT regulatory circuit. Finally, clinical records from multiple datasets suggest a correlation between a hybrid E/M phenotype, high levels of NRF2 and its targets and poor survival, further strengthening the emerging notion that hybrid E/M phenotype(s) may occupy the ‘metastatic sweet spot’.
Adhesive dynamics simulations quantitatively predict effects of kindlin-3 deficiency on T-cell homing
Authors: Anderson Nicholas R , Lee Dooyoung , Hammer Daniel A 
Published: July 2019

Abstract
Leukocyte adhesion is important for the proper functioning of the immune system. While leukocyte homing is mediated by adhesion receptors, the activation of these receptors is modulated by intracellular signaling molecules. In Leukocyte Adhesion Deficiency Type 3, the loss of the kindlin-3 prevents the activation of Leukocyte Function-associated Antigen-1 (LFA-1), which leads to a defect in adhesion, causing recurrent infections and bleeding disorders. Here, we use Integrated Signaling Adhesive Dynamics, a computer model of leukocyte rolling and adhesion combined with a simulated intracellular signaling cascade, to predict the response of T cells to depletion of kindlin-3. Our model predicts that cell adhesion is hypersensitive to the amount of kindlin-3 in the cell, while the rolling velocity is independent of kindlin-3 concentration. In addition, our simulation predicted that the time to stop, an important metric of adhesion, would increase with decreasing kindlin-3 expression. These predictions were confirmed experimentally in experiments using Jurkat cells with reduced expression of kindlin-3. These results suggest that Adhesive Dynamics is a versatile tool for quantifying adhesion in the immune response and predicting the effects of engineering cellular components.
Songs of Silver Speech: “CareMusLy”: Song Writing in the Treatment of Psychosis
Authors: Volpini Andrea 
Published: July 2019

Abstract
Songwriting is commonly utilized in the clinical treatment of psychiatric patients suffering from a wide variety of psychoses. CareMusLy (CML) is a psychodynamic, systematically applied intervention combining music and lyrics to counteract and redefine the problems created by the psychotic dimension. The process starts from a free collective vocal improvisation, during which the music therapist transcribes scattered notes and from which he subsequently composes a piece of music. This composition, when played back to the participants, stimulates a slow, meditative search for words using Heidegger’s concept of the poetic thinking (see Heidegger, M. (1988). La poesia di Hölderlin. Milano, Italy: Adelphi). Engaged in a kind of slow-moving game played out over a long timeframe, patients experience a sense of belonging to the song but do not perceive the strain of the psyche’s work. The songwriting process leads to the use of renewed linguistic, reflexive, and interpretative resources. In switching their attention from themselves to creating a representation of self in song, participants come into contact with internal aspects of themselves that can be expressed and transformed. CML allows participants to achieve a gradual redefinition of themselves and provides the basis for a renewed outlook on life.
The effect of state dependence in a delay differential equation model for the El Niño Southern Oscillation
Authors: Keane Andrew , Krauskopf Bernd , Dijkstra Henk A. 
Published: July 2019

Delay differential equations (DDEs) have been used successfully in the past to model climate systems at a conceptual level. An important aspect of these models is the existence of feedback loops that feature a delay time, usually associated with the time required to transport energy through the atmosphere and/or oceans across the globe. So far, such delays are generally assumed to be constant. Recent studies have demonstrated that even simple DDEs with non-constant delay times, which change depending on the state of the system, can produce surprisingly rich dynamical behaviour. Here, we present arguments for the state dependence of the delay in a DDE model for the El Niño Southern Oscillation phenomenon in the climate system. We then conduct a bifurcation analysis by means of continuation software to investigate the effect of state dependence in the delay on the observed dynamics of the system. More specifically, we show that the underlying delay-induced structure of resonance regions may change considerably in the presence of state dependence.
This article is part of the theme issue ‘Nonlinear dynamics of delay systems’.
Delayed dynamical systems: networks, chimeras and reservoir computing
Authors: Hart Joseph D. , Larger Laurent , Murphy Thomas E. , Roy Rajarshi 
Published: July 2019

We present a systematic approach to reveal the correspondence between time delay dynamics and networks of coupled oscillators. After early demonstrations of the usefulness of spatio-temporal representations of time-delay system dynamics, extensive research on optoelectronic feedback loops has revealed their immense potential for realizing complex system dynamics such as chimeras in rings of coupled oscillators and applications to reservoir computing. Delayed dynamical systems have been enriched in recent years through the application of digital signal processing techniques. Very recently, we have showed that one can significantly extend the capabilities and implement networks with arbitrary topologies through the use of field programmable gate arrays. This architecture allows the design of appropriate filters and multiple time delays, and greatly extends the possibilities for exploring synchronization patterns in arbitrary network topologies. This has enabled us to explore complex dynamics on networks with nodes that can be perfectly identical, introduce parameter heterogeneities and multiple time delays, as well as change network topologies to control the formation and evolution of patterns of synchrony.
This article is part of the theme issue ‘Nonlinear dynamics of delay systems’.
High levels of endemism and local differentiation in the fungal and algal symbionts of saxicolous lecideoid lichens along a latitudinal gradient in southern South America
Authors: Ruprecht Ulrike , Fernández-Mendoza Fernando , Türk Roman , Fryday Alan 
Published: July 2019

AbstractSaxicolous, lecideoid lichenized-fungi have a cosmopolitan distribution but, being mostly cold adapted, are especially abundant in polar and high-mountain regions. To date, little is known of their origin or the extent of their trans-equatorial dispersal. Several mycobiont genera and species are thought to be restricted to either the northern or southern hemisphere, whereas others are thought to be widely distributed and occur in both hemispheres. However, these assumptions often rely on morphological analyses and lack supporting molecular genetic data. Also unknown is the extent of regional differentiation in the southern Polar Regions.An extensive set of lecideoid lichens (185) was collected along a latitudinal gradient at the southern end of South America, always staying in areas of subantarctic climate by increasing the elevation of the collecting sites with decreasing latitude. The investigated specimens were brought into a global context by including Antarctic and cosmopolitan sequences from other studies. For each symbiont three markers were used to identify intraspecific variation (mycobiont: ITS, mtSSU, RPB1; photobiont: ITS, psbJ-L, COX2). For the mycobiont the saxicolous genera Lecidea, Porpidia, Poeltidea and Lecidella and their photobionts Asterochloris and Trebouxia were phylogenetically revised. The results show for several globally distributed species groups geographically highly differentiated subclades, classified as operational taxonomical units (OTUs), which were assigned to the different regions of southern South America (sSA). Further, for sSA, several small endemic and well supported clades were detected at the species level for both symbionts.
Liking and left amygdala activity during food versus non-food processing are modulated by emotional context
Authors: García-García Isabel , Kube Jana , Morys Filip , Schrimpf Anne , Kanaan Ahmad S. , Gaebler Michael , Villringer Arno , Dagher Alain , Horstmann Annette , Neumann Jane 
Published: July 2019

AbstractEmotions can influence our eating behaviors. Facing an acute stressor or being in a positive mood are examples of situations that tend to modify appetite. However, the question of how the brain integrates these emotion-related changes in food processing remains elusive. Here we designed an emotional priming fMRI task to test if amygdala activity during food pictures differs depending on the emotional context. Fifty-eight female participants completed a novel emotional priming task, in which emotional images of negative, neutral or positive situations were followed by pictures of either foods or objects. After priming in each trial, participants rated how much they liked the shown foods or objects. We analyzed how brain activity during the contrast “foods > objects” changed according to the emotional context – in the whole brain and in the amygdala. We also examined the potential effect of adiposity (i.e., waist circumference). We observed a higher difference between liking scores for foods and objects after positive priming than after neutral priming. In the left amygdala, activity in the contrast “foods > objects” was higher after neutral priming relative to negative priming. Waist circumference was not significantly related to this emotional priming effect on food processing. Our results suggest that emotional context alters food and non-food perception, both in terms of liking scores and with regards to engagement of the left amygdala. Moreover, our findings indicate that emotional context has an impact on the salience advantage of food, possibly affecting eating behavior.
Machine translation of cortical activity to text with an encoder-decoder framework
Authors: Makin Joseph G. , Moses David A. , Chang Edward F. 
Published: July 2019

AbstractA decade after the first successful attempt to decode speech directly from human brain signals, accuracy and speed remain far below that of natural speech or typing. Here we show how to achieve high accuracy from the electrocorticogram at natural-speech rates, even with few data (on the order of half an hour of spoken speech). Taking a cue from recent advances in machine translation and automatic speech recognition, we train a recurrent neural network to map neural signals directly to word sequences (sentences). In particular, the network first encodes a sentence-length sequence of neural activity into an abstract representation, and then decodes this representation, word by word, into an English sentence. For each participant, training data consist of several spoken repeats of a set of some 30-50 sentences, along with the corresponding neural signals at each of about 250 electrodes distributed over peri-Sylvian speech cortices. Average word error rates across a validation (held-out) sentence set are as low as 7% for some participants, as compared to the previous state of the art of greater than 60%. Finally, we show how to use transfer learning to overcome limitations on data availability: Training certain components of the network under multiple participants’ data, while keeping other components (e.g., the first hidden layer) “proprietary,” can improve decoding performance—despite very different electrode coverage across participants.
Alpha rhythms reveal when, where and how memories are retrieved
Authors: Martín-Buro María Carmen , Wimber Maria , Henson Richard N. , Staresina Bernhard P. 
Published: July 2019

SummaryOur memories for past experiences can range from vague recognition to full-blown recall of associated details. Neuroimaging research has tried to understand the brain mechanisms underlying qualitatively different memories for decades (Yonelinas, 2002). On the one hand, Electroencephalography (EEG) has shown that recall signals unfold a few hundred milliseconds after simple recognition and are hallmarked by sustained voltage deflections over left posterior sensors (Herron, 2007; Johansson & Mecklinger, 2003; Mecklinger, Rosburg, & Johansson, 2016; Rugg & Curran, 2007). However, sensor-based analyses only provide limited insights into the supporting brain networks. On the other hand, functional magnetic resonance imaging (fMRI) has revealed a ‘core recollection network’ centred on posterior parietal and medial temporal lobe (MTL) regions (Hayama, Vilberg, & Rugg, 2012; Johnson, Suzuki, & Rugg, 2013; King, de Chastelaine, Elward, Wang, & Rugg, 2015; Rugg, Johnson, & Uncapher, 2015; Rugg & Vilberg, 2013; Thakral, Benoit, & Schacter, 2017). However, due to the relatively poor time resolution of fMRI, the temporal dynamics of these regions during retrieval remain largely unknown. In order to overcome these modality-specific limitations, we here used Magnetoencephalography (MEG) in a verbal episodic memory paradigm assessing correct rejection (CR) of lures, item recognition (IR) of old words and associative recall (AR) of paired target words. We found that power decreases in the alpha frequency band (10-12 Hz) systematically track different mnemonic outcomes in both time and space: Over left posterior sensors, alpha power decreased in a stepwise fashion from 500 ms onward, first from CR to IR and then from IR to AR. When projecting alpha power into source space, the ‘core recollection network’ known from fMRI studies emerged, including posterior parietal cortex (PPC) and hippocampus. While PPC showed a linear change across conditions, hippocampal effects were specific to recall. Critically, the hippocampal recall effect emerged ∼200 ms before the PPC recall effect, suggesting a bottom-up recall signal from hippocampus to PPC. Our data thus link engagement of the core recollection network to the temporal dynamics of episodic memory and suggest that alpha rhythms constitute a fundamental oscillatory mechanism revealing when, where and how our memories are retrieved.HighlightsAlpha rhythms distinguish between different retrieval outcomesAlpha power time courses track item recognition and associative recallSource alpha power decreases track the fMRI core recollection networkHippocampal recall signal precedes parietal signal
Dynamic Reorganization of the Frontal Parietal Network During Cognitive Control and Episodic Memory
Authors: Ray Kimberly L , Ragland J Daniel , MacDonald Angus W , Gold James M , Silverstein Steven M , Barch Deanna M , Carter Cameron S 
Published: July 2019

ABSTRACTHigher cognitive functioning is supported by adaptive reconfiguration of large-scale functional brain networks. Cognitive control (CC), which plays a vital role in flexibly guiding cognition and behavior in accordance with our goals, supports a range of executive functions via distributed brain networks. These networks process information dynamically and can be represented as functional connectivity changes between network elements.Using graph theory, we explored context-dependent network reorganization in 56 healthy adults performing fMRI tasks from two cognitive domains that varied in CC and episodic-memory demands. We examined whole-brain modular structure during the DPX task, which engages proactive CC in the frontal-parietal cognitive control network (FPN), and the RiSE task, which manipulates CC demands at encoding and retrieval during episodic-memory processing, and engages FPN, the medial-temporal lobe and other memory related networks in a context dependent manner.Analyses revealed different levels of network integration and segregation. High CC conditions exhibited greater integration across tasks. Moreover, nodes associated with higher cognitive functioning displayed the greatest amount ofdynamicmodule reorganization across tasks. Specifically, the FPN displayed a high level of segregation in the DPX task, where only demands for proactive control varied, and more complex network integration with default mode and salience networks in the RiSE task, where CC is differentially integrated during memory encoding and retrieval. These findings provide insight into how brain networks reorganize to support differing task contexts, suggesting that the FPN flexibly segregates during focused proactive control and integrates to support control in other domains such as episodic-memory.