bluuebunny/crossref_metadata_2025_split huggingface dataset:
The 14q32.31DLK1-DIO3 MIR300 tumor suppressorpromotes leukemogenesis by inducing cancer stem cell quiescence and inhibiting NK cell anti-cancer immunity
Authors: Silvestri Giovannino , Trotta Rossana , Stramucci Lorenzo , Ellis Justin J. , Harb Jason G. , Neviani Paolo , Wang Shuzhen , Eisfeld Ann-Kathrin , Walker Christopher , Zhang Bin , Srutova Klara , Gambacorti-Passerini Carlo , Pineda Gabriel , Jamieson Catriona H. M. , Stagno Fabio , Vigneri Paolo , Nteliopoulos Georgios , May Philippa , Reid Alistair , Garzon Ramiro , Roy Denis C. , Moutuou Moutua-Mohamed , Guimond Martin , Hokland Peter , Deininger Michael , Fitzgerald Garrett , Harman Christopher , Dazzi Francesco , Milojkovic Dragana , Apperley Jane F. , Marcucci Guido , Qi Janfei , Machova-Polakova Katerina , Zou Ying , Fan Xiaoxuan , Baer Maria R. , Calabretta Bruno , Perrotti Danilo 
Published: June 2019

ABSTRACTDrug-resistance of tumor-initiating cells, impaired NK cell immune-response, PP2A loss-of-function and aberrant miRNA expression are cancer features resulting from microenvironmental- and tumor-specific signals. Here we report that genomic-imprintedMIR300is a cell context-independent dual function tumor suppressor which is upregulated in quiescent leukemic stem (LSC) and NK cells by microenvironmental signals to induce quiescence and impair immune-response, respectively, but inhibited in CML and AML proliferating blasts to prevent PP2A-induced apoptosis.MIR300anti-proliferative and PP2A-activating functions are differentially activated through dose-dependent CCND2/CDK6 and SET inhibition, respectively. LSCs escape PP2A-mediated apoptosis through TUG1 lncRNA that uncouples and limitsMIR300functions to cytostasis by regulating unbound-MIR300levels. HaltingMIR300homeostasis restores NK cell activity and suppresses leukemic but not normal hematopoiesis by eradicating nearly all LSCs. Thus,MIR300tumor suppressor activity is essential and therapeutically important for LSC-driven leukemias.
Genomics of Egyptian Healthy Volunteers: The EHVol Study
Authors: Aguib Yasmine , Allouba Mona , Afify Alaa , Halawa Sarah , ElKhateb Mohamed , Sous Marina , Galal Aya , Abdelrahman Eslam , Shehata Nairouz , Sawy Amr El , Maghawry Mohamed , Anwer Shehab , Kamel Omnia , El-Mozy Wessam , Khedr Hadir , Essam Ahmed , Thabet Nagwa , Theotokis Pantazis , Buchan Rachel , Govind Risha , Whiffin Nicola , Walsh Roddy , Aguib Heba , Elguindy Ahmed , Cook Stuart A , Barton Paul J , Ware James , Yacoub Magdi 
Published: June 2019

ABSTRACTComprehensive genomic databases offer unprecedented opportunities towards effective tailored strategies for the prevention and treatment of disease. The integration of genomic and phenotypic data from diverse ethnic populations is also key to advancements in precision medicine and novel diagnostic technologies. Current reference genomic databases, however, are not representative of the global human population, making variant interpretation challenging and uncertain, especially in underrepresented populations such as the North African population. To address this, a study of 391 Egyptian healthy volunteers (EHVols) was initiated as a milestone towards establishing the 1000 Egyptian Genomes project.
RNA polymerase active centre compensates for the absence of transcription proofreading factors in Cyanobacteria
Authors: Riaz-Bradley Amber , James Katherine , Yuzenkova Yulia 
Published: June 2019

SummaryThe vast majority of organisms possess transcription elongation factors, the functionally similar bacterial Gre and eukaryotic TFIIS/TFS. Their main cellular functions are to proofread errors of transcription and to restart elongation via stimulation of RNA hydrolysis by the active centre of RNA polymerase (RNAP). Very few taxons lack these factors, including the large evolutionarily ancient group of cyanobacteria and their descendants, the chloroplasts. How do they cope? What compensatory mechanisms they possess?We found that cyanobacterial RNAP functionally substitutes for Gre/TFIIS - it does not stall on DNA, it efficiently catalyses the proofreading reaction of RNA hydrolysis, and the drop in transcription fidelity is only fractional, as confirmed by NGS. This alternative, presumably primordial, route to fidelity and processivity in the absence of Gre/TFIIS factors is based on the active site of RNAP stabilisation in a closed conformation. However, here lies a trade off - a severely reduced ability of this active site to recognise regulatory pausing signals. We suggest that perhaps the main advantage of Gre/TFIIS acquisition was to allow transcription regulation via pausing; with increase in fidelity as a bonus side effect.
Pulmonary natural killer cells control neutrophil intravascular motility and response to acute inflammation
Authors: Secklehner J. , De Filippo K. , Mackey J. B. G. , Vuononvirta J. , Raffo Iraolagoitia X. L. , McFarlane A. J. , Neilson M. , Headley M. B. , Krummel M. F. , Guerra N. , Carlin L. M. 
Published: June 2019

AbstractThe pulmonary immune system defends a huge surface area directly in contact with the contents of the air we breathe. Neutrophils, the most abundant immune cell in the pulmonary vasculature, are critical to immunity but they are also capable of generating life-threatening pathology. Natural Killer cells are the most highly represented lymphocyte subset in the lung, but relatively little is known about their localization, motility or the specific mechanisms by which they contribute to local homeostasis. Here, we used lung-intravital microscopy to directly visualise and quantify neutrophil and natural killer cell dynamics in the pulmonary vasculature of live mice. This approach revealed unexpected sessile behaviour by intravascular natural killer cells. Interactions with natural killer cells made neutrophils scan the endothelium more slowly over larger distances and reduced the number of neutrophils that accumulated in an LPS-triggered inflammatory challenge. This represents a new paradigm by which natural killer cells contribute to lung physiology by diminishing potentially pathogenic neutrophil accumulation.
Machine Learning based histology phenotyping to investigate epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits
Authors: Glastonbury C. A , Pulit S. L , Honecker J. , Censin J. C , Laber S. , Yaghootkar H. , Rahmioglu N. , Pastel E. , Kos K. , Pitt A. , Hudson M. , Nellåker C. , Beer N. L , Hauner H. , Becker C. M , Zondervan K. T , Frayling T. M , Claussnitzer M. , Lindgren C. M 
Published: June 2019

AbstractGenetic studies have recently highlighted the importance of fat distribution, as well as overall adiposity, in the pathogenesis of obesity-associated diseases. Using a large study (n = 1,288) from 4 independent cohorts, we aimed to investigate the relationship between adipocyte area and obesity-related traits, and identify genetic factors associated with adipocyte cell size. To perform the first large-scale study of automatic adipocyte phenotyping using both histological and genetic data, we developed a deep learning-based method, the Adipocyte U-Net, to rapidly derive area estimates from histology images. We validate our method using three state-of-the-art approaches; CellProfiler, Adiposoft and floating adipocytes fractions, all run blindly on two external cohorts. We observe high concordance between our method and the state-of-the-art approaches (Adipocyte U-net vs. CellProfiler: R2visceral= 0.94, P < 2.2 × 10−16, R2subcutaneous= 0.91, P < 2.2 × 10−16), and faster run times (10,000 images: 6mins vs 3.5hrs). We applied the Adipocyte U-Net to 4 cohorts with histology, genetic, and phenotypic data (total N = 820). After meta-analysis, we found that adipocyte area positively correlated with body mass index (BMI) (Psubq = 8.13 × 10−69, βsubq = 0.45; Pvisc= 2.5 × 10−55, βvisc= 0.49; average R2 across cohorts = 0.49) and that adipocytes in subcutaneous depots are larger than their visceral counterparts (Pmeta= 9.8 × 10−7). Lastly, we performed the largest GWAS and subsequent meta-analysis of adipocyte area and intra-individual adipocyte variation (N = 820). Despite having twice the number of samples than any similar study, we found no genome-wide significant associations, suggesting that larger sample sizes and a homogenous collection of adipose tissue are likely needed to identify robust genetic associations.
PICKER-HG: a web server using random forests for classifying human genes into categories
Authors: Fabris Fabio , Palmer Daniel , Farooq Zoya , de Magalhães João Pedro , Freitas Alex A 
Published: June 2019

AbstractMotivationOne of the main challenges faced by biologists is how to extract valuable knowledge from the data produced by high-throughput genomic experiments. Although machine learning can be used for this, in general, machine learning tools on the web were not designed for biologist users. They require users to create suitable biological datasets and often produce results that are hard to interpret.ObjectiveOur aim is to develop a freely available web server, named PerformIng Classification and Knowledge Extraction via Rules using random forests on Human Genes (PICKER-HG), aimed at biologists looking for a straightforward application of a powerful machine learning technique (random forests) to their data.ResultsWe have developed the first web server that, as far as we know, dynamically constructs a classification dataset, given a list of human genes with annotations entered by the user, and outputs classification rules extracted of a Random Forest model. The web server can also classify a list of genes whose class labels are unknown, potentially assisting biologists investigating the association between class labels of interest and human genes.Availabilityhttp://machine-learning-genomics.com/
A hybrid conceptual model for BIM in FM
Authors: Hilal Mustafa , Maqsood Tayyab , Abdekhodaee Amir 
Published: June 2019

Purpose
The purpose of this paper is to develop a hybrid conceptual model for building information modelling (BIM) adoption in facilities management (FM) through the integration of the technology task fit (TTF) and the unified theory of acceptance and use of technology (UTAUT) theories. The study also aims to identify the influence factors of BIM adoption and usage in FM and identify gaps in the existing literature and to provide a holistic picture of recent research in technology acceptance and adoption in the construction industry and FM sector.

Design/methodology/approach
The research methodology was to first review the literature to determine how users come to accept new technologies and what leads to adoption of BIM in the construction industry and in FM and to identify gaps as the starting point for developing a conceptual framework for greater adoption of BIM in FM. Using the results from the literature review, the conceptual framework for BIM adoption in FM has been formulated.

Findings
The resulting model of the current research is expected to improve our understanding of the acceptance and adoption of BIM by FM.

Research limitations/implications
The research hypotheses need to be tested for validation. Future works includes survey and experts’ interviews for model validation.

Originality/value
This paper fulfils an identified need to study how FM come to accept and adopt BIM through the integration of TTF and UTAUT.
Continuous local material model for the mechanical stress-dependency of magnetic properties in non-oriented electrical steel
Authors: Karthaus Jan , Elfgen Silas , Hameyer Kay 
Published: June 2019

Purpose
Magnetic properties of electrical steel are affected by mechanical stress. In electrical machines, influences because of manufacturing and assembling and because of operation cause a mechanical stress distribution inside the steel lamination. The purpose of this study is to analyse the local mechanical stress distribution and its consequences for the magnetic properties which must be considered when designing electrical machines.

Design/methodology/approach
In this paper, an approach for modelling stress-dependent magnetic material properties such as magnetic flux density using a continuous local material model is presented.

Findings
The presented model shows a good approximation to measurement results for mechanical tensile stress up to 100 MPa for the studied material.

Originality/value
The presented model allows a simple determination of model parameters by using stress-dependent magnetic material measurements. The model can also be used to determine a scalar mechanical stress distribution by using a known magnetic flux density distribution.
LSTM multichannel neural networks in mental task classification
Authors: Opałka Sławomir , Szajerman Dominik , Wojciechowski Adam 
Published: June 2019

Purpose
The purpose of this paper is to apply recurrent neural networks (RNNs) and more specifically long-short term memory (LSTM)-based ones for mental task classification in terms of BCI systems. The authors have introduced novel LSTM-based multichannel architecture model which proved to be highly promising in other fields, yet was not used for mental tasks classification.

Design/methodology/approach
Validity of the multichannel LSTM-based solution was confronted with the results achieved by a non-multichannel state-of-the-art solutions on a well-recognized data set.

Findings
The results demonstrated evident advantage of the introduced method. The best of the provided variants outperformed most of the RNNs approaches and was comparable with the best state-of-the-art methods.

Practical implications
The approach presented in the manuscript enables more detailed investigation of the electroencephalography analysis methods, invaluable for BCI mental tasks classification.

Originality/value
The new approach to mental task classification, exploiting LSTM-based RNNs with multichannel architecture, operating on spatial features retrieving filters, has been adapted to mental tasks with noticeable results. To the best of the authors’ knowledge, such an approach was not present in the literature before.
Influence of shape and material of rotor bars on performance characteristics of single-phase self-excited induction generators
Authors: Leicht Aleksander , Makowski Krzysztof 
Published: June 2019

Purpose
The purpose of the paper is to present an analysis of an influence of shape and material of rotor bars on the process of self-excitation and performance characteristics of single-phase, self-excited induction generator (SP-SEIG).

Design/methodology/approach
The presented analysis is based on the results of transient simulations of SP-SEIG performed with the use of field-circuit model of the machine. Four various shapes of the rotor bars and two different conductor materials were investigated. The results for the base model with rounded trapezoidal rotor slots were validated by measurements.

Findings
An improvement of the performance characteristics – the extension of the stable operating range of the generator – was obtained for rectangular copper rotor bars. The improvement is the result of strong skin effect in the squirrel rotor cage. Application of round rotor slots results in shorter time of voltage build-up during the self-excitation of the generator caused by less apparent deep bar effect in round bars.

Originality/value
The originality of the paper is the application of the copper rotor cage in the single-phase, self-excited induction generator. Its use is beneficial, as it allows for extension of the range of stable operating range. The results may be used for designing new constructions of the single-phase, self-excited induction generators, as well as the constructions based on general purpose single-phase induction motors.
Market-oriented interest rate, deposit insurance system and bank runs
Authors: Tian Guoqiang , Zhao Yupu , Gong Rukai 
Published: June 2019

PurposeIn the transitional process of promoting market-oriented interest rate, China is confronted with an important theoretical and practical issue: how to avoid bank runs and realize the smooth operation of the financial system. The purpose of this paper is to construct a bank-run dynamic model by taking into account a market environment with the transmission of multiple rounds of noise information, a comprehensive consideration of depositors’ expectation of return on assets (or earning rate/yields of assets), the efficiency of information processing and dissemination, and the different motives for premature withdrawal.Design/methodology/approachThe authors discussed the dynamic process of bank runs, furnished the ratio and number of each round of bank run, and characterized the corresponding dynamic equilibrium as well. Furthermore, the authors expanded the benchmark model by incorporating the deposit insurance system (DIS) to discuss the action mechanism of DIS overruns.FindingsThe results show that DIS implementation has two opposite effects: stabilized expectation and moral hazard, by virtue of its influence over the two types of premature withdrawal motives of depositors; the implementation effect of DIS rests with the dual-effect comparison, which is endogenous to the institutional environment.Originality/valueThe policy implications are as follows: while implementing DIS, it is necessary to establish and improve the corresponding institutional construction and supporting measures, to consolidate market discipline and improve the supervisory role of the bank’s internal governance mechanism, so as to reduce the potential moral hazards. The financial system reform shall be furthered and the processing and dissemination efficiency of information be elevated to prompt depositors to form stable withdrawal expectations, thereby enhancing the stabilizing effect of DIS.
Research note: customer experience management in cruise pre-consumption
Authors: Sharples Liz 
Published: June 2019

Purpose
This study aims to apply the relatively new concept of customer experience management (CXM) to the pre-consumptive stage within a cruise tourist’s journey.

Design/methodology/approach
The work will apply CXM to the tourism sector and, in particular to the cruise market. Academics have noted how CXM needs to takes a holistic integrated approach and focus on the complete customer experience. The cruise sector has been selected for this research because, it is the fastest growing tourism sector globally and the pre-consumption stage for cruise passengers is longer than for other vacation types.

Findings
This study has shown how CXM has emerged from the more traditional marketing concept of relationship marketing and has highlighted its relevance within the tourism industry, in particular, the cruise sector. In addition, the work has shown how adapting CXM to the pre-consumptive phase more fully will enhance consumer relationships and improve business performance.

Research limitations/implications
This work is conceptual. It is proposed that the research propositions should be verified within the pre-consumptive stage of cruise passenger journeys. Another limitation is that the focus has been solely on the cruise sector and future research could be extended to other tourism service industries.

Practical implications
This work will provide tourism and other service industry managers with a new strategy to enhance consumer experience and improve business performance in the pre-consumptive stage and extend academic understanding within this stage of a cruise tourist’s vacation.

Originality/value
This research is significant because CXM is a model, which has been used within service businesses, but had a limited application to the cruise sector and to the pre-consumption timeframe. It is important to understand cruise passengers in this time-frame to encourage positive relationships, to potentially increase revenue opportunities and provide an overall improved consumer experience.
Motives for writing online reviews in post-vacation phase
Authors: Mladenovic Dusan , Krajina Anida , Milojevic Ivana 
Published: June 2019

Purpose
This quantitative study aims to examine background motives that navigate individuals to share their opinions, in the context of an individual’s post-vacation phase and its relation to the destination of Serbia, from the standpoint of age, gender and nationality.

Design/methodology/approach
The data were collected throughout six weeks via a self-administered Web survey. The survey was adopted and based on the scale developed by Bronner and de Hoog (2011).

Findings
Results indicate that the dominant driver to submit an online review after a trip is to help vacationers (altruism) and that men and women display differences in this, but not in other motives. Both age and nationality do not influence the particular motive to leave an online review.

Research limitations/implications
The main limitation of this study is the total number of answers. However, sampling was rather purposive, which gives us a good indicator of the population behavior.

Practical implications
Understanding these drivers is essential in formulating strategies for managing the interaction with opinion leaders. On a larger scale, the results can contribute the market segmentation and customer communication approaches in Serbian tourism marketing.

Originality/value
Motives that trigger individuals to compose an online review have not been investigated and thematic studies are still missing, in the case of Serbia in particular.
A factual and perceptional framework for assessing diversity effects of online recommender systems
Authors: Matt Christian , Hess Thomas , Weiß Christian 
Published: June 2019

Purpose
The purpose of this paper is to explore the effects of online recommender systems (RS) on three types of diversity: algorithmic recommendation diversity, perceived recommendation diversity and sales diversity. The analysis distinguishes different recommendation algorithms and shows whether user perceptions match the actual effects of RS on sales.

Design/methodology/approach
An online experiment was conducted using a realistic shop design, various recommendation algorithms and a representative consumer sample to ensure the generalizability of the findings.

Findings
Recommendation algorithms show a differential impact on sales diversity, but only collaborative filtering can lead to higher sales diversity. However, some of these effects are subject to how much information firms have about users’ preferences. The level of recommendation diversity perceived by users does not always reflect the factual diversity effects.

Research limitations/implications
Recommendation and consumption patterns might differ for other types of products; future studies should replicate the study with search or credence goods. The authors also recommend that future research should move from taking a unidimensional measure for the assessment of diversity and employ multidimensional measures instead.

Practical implications
Online shops need to conduct a more comprehensive assessment of their RS’ effect on diversity, taking into account not only the effects on their sales distribution, but also on users’ perceptions and faith in the recommendation algorithm.

Originality/value
This study offers a framework for assessing different forms of diversity in online RS. It employs various recommendation algorithms and compares their impact using not just one but three different types of diversity measures. This helps explaining some of the contradictious findings from the previous literature.