bluuebunny/crossref_metadata_2025_split huggingface dataset:
AP-1 Imprints a Reversible Transcriptional Program of Senescent Cells
Authors: Martínez-Zamudio Ricardo Iván , Roux Pierre-François , de Freitas José Américo N L F , Robinson Lucas , Doré Gregory , Sun Bin , Gil Jesús , Herbig Utz , Bischof Oliver 
Published: May 2019

SUMMARYSenescent cells play important physiological- and pathophysiological roles in tumor suppression, tissue regeneration, and aging. While select genetic and epigenetic elements crucial for senescence induction were identified, the dynamics, underlying epigenetic mechanisms, and regulatory networks defining senescence competence, induction and maintenance remain poorly understood, precluding a deliberate therapeutic manipulation of these dynamic processes. Here, we show, using dynamic analyses of transcriptome and epigenome profiles, that the epigenetic state of enhancers predetermines their sequential activation during senescence. We demonstrate that activator protein 1 (AP-1) ‘imprints’ the senescence enhancer landscape effectively regulating transcriptional activities pertinent to the timely execution of the senescence program. We define and validate a hierarchical transcription factor (TF) network model and demonstrate its effectiveness for the design of senescence reprogramming experiments. Together, our findings define the dynamic nature and organizational principles of gene-regulatory elements driving the senescence program and reveal promising inroads for therapeutic manipulation of senescent cells.
Development of Kinetic Modeling to Assess Multi-functional Vascular Response to Low Dose Radiation in Leukemia
Authors: Brooks Jamison , Kumar Bijender , Zuro Darren M. , Raybuck Jonathon D. , Madabushi Srideshikan Sargur , Vishwasrao Paresh , Parra Liliana Echavarria , Kortylewski Marcin , Armstrong Brian , Hui Susanta K 
Published: May 2019

AbstractVascular permeability, tissue transfer rate (Ktrans), fractional extracellular tissue space (νec) and blood perfusion are crucial parameters to assess bone marrow vasculature (BMV) function. However, quantitative measurements of these parameters in a mouse model are difficult because of limited resolution of standard macroscopic imaging modalities. Using intravital multiphoton microscopy (MPM), live imaging of dextran transfer from BMV to calvarium tissue of mice bearing acute lymphoblastic leukemia (ALL) was performed to obtain BMV parameters. Mice bearing ALL had increased BMV permeability, altered Ktrans, increased νec, decreased blood perfusion, and increased BMV permeability resulting in reduced drug uptake. Targeted 2 Gy radiation therapy (RT) to mice bearing ALL increased local BMV perfusion and ALL chemotherapy uptake (P<0.0001 and P=0.0036, respectively), suggesting RT prior to chemotherapy treatment may increase treatment efficacy. Developed MPM techniques allow for a quantitative assessment of BMV functional parameters not previously performed with microscopic or macroscopic imaging.
Method for Modeling Residual Variance in Biomedical Signals Applied to Transcranial Doppler Ultrasonography Waveforms
Authors: Jalaleddini Kian , Thorpe Samuel G. , Canac Nicolas , Dorn Amber Y. , Thibeault Corey M. , Wilk Seth J. , Hamilton Robert B. 
Published: May 2019

AbstractTranscranial Doppler (TCD) ultrasonography measures pulsatile cerebral blood flow velocity in the arteries and veins of the head and neck. The velocity pulse waveform morphology has been shown to have physiological and diagnostic significance. However, the measured pulses may exhibit a high degree of variability that deteriorates the estimates of clinical parameters. This study characterizes the TCD residual variance that result in pulse variability.We retrospectively utilized the data from 82 subjects. A trained sonographer insonated the middle cerebral arteries using a 2MHz hand-held probe. We implemented a multi-stage algorithm to identify the TCD residuals in each scan: pulses were identified; outlier pulses were flagged and removed; the average pulse waveform was taken as the ensemble average of the accepted pulse waveforms; finally, the resampled average pulse waveforms subtracted from individual pulses were taken as the TCD residuals. For each scan, we reported the signal to noise ratio and parameterized models for residuals: their amplitude structure using probability density function models and their temporal structure using autoregressive models.The signal to noise ratio 90% range was [1.7, 18.2] dB. The estimated probability density functions were best characterized by a generalized normal distribution whose beta parameter was smaller than 2 in 93% of scans. The identified frequency structure showed the dynamics were low-pass in nature.Analysis of the TCD residuals is useful in the assessment of the signal quality. Moreover, our identified models can also be used to generate synthetic TCD signal that enables future realistic simulation studies.
Cholesterol deprivation induces TGFβ signaling to promote basal differentiation in pancreatic cancer
Authors: Cornell Linara G. , Peri Suraj , Restifo Diana , Klochkova Alena , Hartman Tiffiney R. , O’Reilly Alana M. , Francescone Ralph , Franco-Barraza Janusz , Shah Neelima , Nicolas Emmanuelle , Handorf Elizabeth A. , Cai Kathy Q. , Mazitova Alexandra , Sloma Ido , Chiaverelli Rachel , Moffitt Richard , Golemis Erica A. , Cukierman Edna , Astsaturov Igor 
Published: May 2019

SummaryOncogenic transformation alters the metabolism of cellular nutrients to sustain tumor growth. We here define a mechanism by which modifications in cholesterol metabolism control the formation of pancreatic ductal adenocarcinoma (PDAC). Disruption of distal cholesterol biosynthesis by means of conditional inactivation ofNsdhlin mice bearing a tumor-inducingKrasmutation (KrasG12D) prevented PDAC formation in the context of a heterozygousTrp53f/+genotype without impairing normal pancreatic development. In mice with pancreaticNsdhlablation and homozygous loss ofTrp53, the emerging tumors presented with the aggressive basal (mesenchymal) phenotype as opposed to the classic (glandular) PDAC. This paralleled significantly reduced expression of cholesterol metabolic pathway genes in human basal PDAC subtype. Mechanistically, we demonstrate that genetic or metabolic cholesterol deprivation stabilizes the transforming growth factor beta (TGFβ) receptor to activate pro-mesenchymal effectors in human and murine PDAC, providing a direct mechanism by which cholesterol metabolism can condition tumor differentiation.
PilT and PilU are homohexameric ATPases that coordinate to retract type IVa pili
Authors: Chlebek Jennifer L. , Hughes Hannah Q. , Ratkiewicz Aleksandra S. , Rayyan Rasman , Wang Joseph Che-Yen , Herrin Brittany E. , Dalia Triana N. , Biais Nicolas , Dalia Ankur B. 
Published: May 2019

AbstractBacterial type IV pili are critical for diverse biological processes including horizontal gene transfer, surface sensing, biofilm formation, adherence, motility, and virulence. These dynamic appendages extend and retract from the cell surface. In many type IVa pilus systems, extension occurs through the action of an extension ATPase, often called PilB, while optimal retraction requires the action of a retraction ATPase, PilT. Many type IVa systems also encode a homolog of PilT called PilU. However, the function of this protein has remained unclear becausepilUmutants exhibit inconsistent phenotypes among type IV pilus systems and because it is relatively understudied compared to PilT. Here, we study the type IVa competence pilus ofVibrio choleraeas a model system to define the role of PilU. We show that the ATPase activity of PilU is critical for pilus retraction in PilT Walker A and/or Walker B mutants. PilU does not, however, contribute to pilus retraction in ΔpilTstrains. Thus, these data suggest that PilU is abona fideretraction ATPase that supports pilus retraction in a PilT-dependent manner. We also found that a ΔpilUmutant exhibited a reduction in the force of retraction suggesting that PilU is important for generating maximal retraction forces. Additionalin vitroandin vivodata show that PilT and PilU act as independent homo-hexamers that may form a complex to facilitate pilus retraction. Finally, we demonstrate that the role of PilU as a PilT-dependent retraction ATPase is conserved inAcinetobacter baylyi, suggesting that the role of PilU described here may be broadly applicable to other type IVa pilus systems.Author SummaryAlmost all bacterial species use thin surface appendages called pili to interact with their environments. These structures are critical for the virulence of many pathogens and represent one major way that bacteria share DNA with one another, which contributes to the spread of antibiotic resistance. To carry out their function, pili dynamically extend and retract from the bacterial surface. Here, we show that retraction of pili in some systems is determined by the combined activity of two motor ATPase proteins.
Impact of functional synapse clusters on neuronal response selectivity
Authors: Ujfalussy Balázs B , Makara Judit K 
Published: May 2019

SummaryClustering of functionally similar synapses in dendrites is thought to affect input-output transformation by inducing dendritic nonlinearities. However, neither the in vivo impact of synaptic clusters on somatic membrane potential (sVm), nor the rules of cluster formation are elucidated. We developed a computational approach to measure the effect of functional synaptic clusters on sVm response of biophysical model CA1 and L2/3 pyramidal neurons to behaviorally relevant in vivo-like inputs. Large-scale dendritic spatial inhomogeneities in synaptic tuning properties did influence sVm, but small synaptic clusters appearing randomly with unstructured connectivity did not. With structured connectivity, ~10-20 synapses per cluster was optimal for clustering-based tuning, but larger responses were achieved by 2-fold potentiation of the same synapses. We further show that without nonlinear amplification of the effect of random clusters, action potential-based, global plasticity rules can not generate functional clustering. Our results suggest that clusters likely form via local synaptic interactions, and have to be moderately large to impact sVm responses.
Monitoring the depth of anesthesia using Autoregressive model and Sample entropy
Authors: Zhu Fu G. , Luo Xiao G. , Hou Chang J. , Huo Dan Q. , Dang Peng 
Published: May 2019

AbstractAnesthesia is an important part in modern surgery, and the way how to effectively monitor the depth of anesthesia (DOA) is core issue in the anesthesia work. Since anesthetics mainly affected the brain of patients, it is very effective to monitor DOA by electroencephalogram (EEG). This paper proposes a method for monitoring DOA using EEG. First, the sample entropy (SampEn) of EEG were calculated as a feature vector. Simultaneously, the Burg recursive algorithm was used to solve the autoregressive model (AR model) and AR coefficients were extracted as feature vectors. Later, according to the characteristics of uneven distribution of sample points, the weighted k-nearest neighbor (WKNN) classifier was selected. The Anesthesia was divided into awake, mild, moderate and deep by WKNN classifier. According to the results, the correlation coefficient between the SampEn of the EEG and Bispectral Index (BIS) is above 0.8. There is a correlation between the first five orders of AR coefficient and the BIS index, and the correlation of the second order reaches 0.8. Through the validation of 30 patients, this method can assessment of DOA effectively and accurately.
Managing online product assortment and order fulfillment for superior e-tailing service experience
Authors: Kautish Pradeep , Sharma Rajesh 
Published: May 2019

Purpose
The purpose of this paper is to bridge together seemingly disparate yet interconnected paradigmatic antecedents of e-tailing and servicescape, i.e., product assortment, order fulfillment, shopping assistance and its consequences for shopping efficiency.

Design/methodology/approach
The proposed conceptual model is well grounded in the extensive literature from e-tailing as well as retailing domain and to assess the plausibility of the model. Total 246 female online apparel shoppers were surveyed from an Indian university and the data were analyzed using structural equation modeling through SmartPLS.

Findings
The outcomes of the study indicate that the e-customer may derive a substantial share of shopping assistance and service interface through product assortment offered by e-tailing sites. Customer-perceived performance of this e-shopping process – a crucial element of e-tail servicescape – directly affects the shopping assistance, along with order fulfillment capability of retail scope.

Research limitations/implications
The study used a sample of graduate students at a north-west university in India, which limits the generalizability of the research to other consumer groups. The paper links a significant body of literature within a conceptually developed framework and identifies key research areas in the e-tailing realm.

Practical implications
By better understanding the role of product assortment as a value-added feature in online value co-creation process, the e-tail managers can leverage the proposed integrated capability to improve e-tailing performance and customer outcomes in the form of business.

Social implications
With rapid advancements in internet-led communication, we are witnessing the dawn of a new era of e-tail innovations around us which is expected to change the way people experience shopping.

Originality/value
This research is an attempt to enrich the level of understanding about online shopping environment in light of relationships among virtual and physical facets of e-tail, i.e., product assortment, order fulfillment, shopping assistance and shopping efficiency. The authors investigate customer-perceived product assortment performance in e-tailing and its significances on shopping outcomes.
Online stakeholder dialogue:quo vadis? – An empirical analysis in German-speaking countries
Authors: Hetze Katharina , Bögel Paula Maria , Emde Andreas , Bekmeier-Feuerhahn Sigrid , Glock Yvonne 
Published: May 2019

PurposeThe purpose of this paper is to present an empirical analysis of CSR communication posted on the websites of 70 companies listed on the main stock markets in German-speaking countries, the so-called DACH region. The results of this analysis offer answers to questions that are currently being discussed in the CSR literature, namely, on the importance attributed to stakeholder information vs stakeholder dialogues in (online) CSR communication.Design/methodology/approachUsing a quantitative content analysis, the study examines the extent to which leading German, Austrian and Swiss companies are meeting communication and CSR-related requirements, especially regarding stakeholder dialogue and overall stakeholder involvement.FindingsDrawing on Morsing and Schultz’s (2006) theoretical insights concerning stakeholder engagement, this study shows that current CSR communication primarily provides information for stakeholders and contains only a few elements of consultation with stakeholders. In addition, no elements indicating stakeholder involvement in decision processes were found. Data analysed in 2004, 2007, 2012 and 2016 for the German DAX companies allowed for comparisons over time. A closer examination of these data revealed increasing professionalism in CSR communication, especially in the provision and presentation of information. Regarding information clarity and opportunities for dialogue, however, the results show low progress. The criteria set developed for the study provides guidance for how companies can improve their CSR communication, but the findings on the long-term slow progress in stakeholder involvement, in some aspects even a decrease in dialogue, also raise questions about the (perceived) use of online CSR dialogues for companies.Research limitations/implicationsCommunication is viewed from a strategic instrumental perspective. The empirical analysis focusses on the technical possibilities offered by the internet to make CSR communications and reporting available and understandable to stakeholders and to promote dialogue with and among stakeholders.Originality/valueBy focussing on online CSR communication in the DACH region, this study contributes to the current state of research and offers several recommendations for practitioners; it particularly provides critical reflection on online stakeholder dialogues and related paradigms (constitutive vs functionalistic perspective).
Modelling and simulation of the expansion of a shape memory polymer stent
Authors: Liu Ruoxuan , Mcginty Sean , Cui Fangsen , Luo Xiaoyu , Liu Zishun 
Published: May 2019

PurposeThe purpose of this paper is to demonstrate the feasibility of using shape memory polymer (SMP) for developing vascular stent. In particular, the expansion performance is analyzed through extensive modeling and simulation.Design/methodology/approachFirstly, the authors construct the model geometry and propose a constitutive model to describe the deformation of the stent due to the expansion process. The authors then simulate the expansion process under varying conditions, including different heating rates and recovery temperatures. Finally, the authors analyze the radial strength of the SMP stent.FindingsA less invasive and stable expansion performance of the SMP stent is confirmed by the simulation method. A fitting function of the expansion process is proposed based on the characteristics of the SMP.Research limitations/implicationsThe effects of dynamic blood flow on the SMP stent is ignored. A fluid-structure interaction analysis may need to be considered to give a more accurate description of the behaviour of the SMP stent.Practical implicationsThe findings will provide guidance for the rational design and application of SMP stents.Social implicationsThe work will provide guidance for the new generation stent design.Originality/valueThis is the first time that the expansion performance of a SMP stent has been analyzed both qualitatively and quantitatively through modelling and simulation.
Stabilised MLS in MLPG method for heat conduction problem
Authors: Singh Rituraj , Singh Krishna Mohan 
Published: May 2019

Purpose
The purpose of this paper is to assess the performance of the stabilised moving least squares (MLS) scheme in the meshless local Petrov–Galerkin (MLPG) method for heat conduction method.

Design/methodology/approach
In the current work, the authors extend the stabilised MLS approach to the MLPG method for heat conduction problem. Its performance has been compared with the MLPG method based on the standard MLS and local coordinate MLS. The patch tests of MLS and modified MLS schemes have been presented along with the one- and two-dimensional examples for MLPG method of the heat conduction problem.

Findings
In the stabilised MLS, the condition number of moment matrix is independent of the nodal spacing and it is nearly constant in the global domain for all grid sizes. The shifted polynomials based MLS and stabilised MLS approaches are more robust than the standard MLS scheme in the MLPG method analysis of heat conduction problems.

Originality/value
The MLPG method based on the stabilised MLS scheme.
Sensing and warning-based technology applications to improve occupational health and safety in the construction industry
Authors: Antwi-Afari Maxwell Fordjour , Li Heng , Wong Johnny Kwok-Wai , Oladinrin Olugbenga Timo , Ge Janet Xin , Seo JoonOh , Wong Arnold Yu Lok 
Published: May 2019

Purpose
Sensing- and warning-based technologies are widely used in the construction industry for occupational health and safety (OHS) monitoring and management. A comprehensive understanding of the different types and specific research topics related to the application of sensing- and warning-based technologies is essential to improve OHS in the construction industry. The purpose of this paper is to examine the current trends, different types and research topics related to the applications of sensing- and warning-based technology for improving OHS through the analysis of articles published between 1996 and 2017 (years inclusive).

Design/methodology/approach
A standardized three-step screening and data extraction method was used. A total of 87 articles met the inclusion criteria.

Findings
The annual publication trends and relative contributions of individual journals were discussed. Additionally, this review discusses the current trends of different types of sensing- and warning-based technology applications for improving OHS in the industry, six relevant research topics, four major research gaps and future research directions.

Originality/value
Overall, this review may serve as a spur for researchers and practitioners to extend sensing- and warning-based technology applications to improve OHS in the construction industry.
A fuzzy interpretive structural modeling approach for evaluating the factors affecting lean implementation in Indian healthcare industry
Authors: Ajmera Puneeta , Jain Vineet 
Published: May 2019

Purpose
Lean concept is implemented in healthcare organizations, as it deals with improvement processes so that best services may be provided to the patients and competitive advantage may be achieved. The purpose of this paper is to evaluate the important factors which influence implementation of lean principles in the healthcare industry.

Design/methodology/approach
The factors influencing lean implementation in the healthcare industry have been determined through literature review and results of a survey where questionnaires were distributed among 325 healthcare professionals. Fuzzy Interpretive Structural Modeling (FISM) approach has been used to analyze the interrelationships among these factors. A FISM model has been developed to extract the key factors influencing lean implementation.

Findings
Results of the survey and model show that lean leadership, professional organizational culture and teamwork and interdepartmental cooperation are the top level factors. Clarity of organizational vision, communication of goals and results, follow up and evaluations are the factors with strong driving as well as strong dependence power. Even a slight action taken on these factors will have a significant impact on other factors.

Practical implications
The healthcare professionals and managers can acquire information from the drive power dependence matrix so that they can thoroughly understand the relative importance, interdependencies and relationships among these factors. The model will help in determining the hierarchy of various actions and activities which may be taken by the management for managing the factors that remarkably affect the lean management in hospitals.

Social implications
In this paper, only 15 variables appropriate for the Indian healthcare industry have been identified. The model developed in the present research has not been validated statistically which can be done by structural equation modeling (SEM).

Originality/value
Though there are various studies which depict that lean principles have been implemented successfully in various industries, there are few studies specifying the application of lean principles in healthcare sector in India. This paper is an attempt to identify various factors which are important for application of Lean concept in the healthcare sector.