bluuebunny/crossref_metadata_2025_split huggingface dataset:
IDO1 Signaling through GCN2 in a Subpopulation of Gr-1+ Cells Shifts the IFNγ/IL6 Balance to Promote Neovascularization
Authors: Dey Souvik , Mondal Arpita , DuHadaway James B. , Sutanto-Ward Erika , Laury-Kleintop Lisa D. , Thomas Sunil , Prendergast George C. , Mandik-Nayak Laura , Muller Alexander J. 
Published: February 2021

Abstract

In addition to immunosuppression, it is generally accepted that myeloid-derived suppressor cells (MDSC) also support tumor angiogenesis. The tryptophan-catabolizing enzyme indoleamine 2,3-dioxygenase (IDO1) has been implicated in promoting neovascularization through its positioning as a key regulatory node between the inflammatory cytokines IFNγ and IL6. Here, we report that within the heterogeneous expanse of Gr-1+ MDSCs, both IDO1 expression and the ability to elicit neovascularization in vivo were associated with a minor subset of autofluorescent, CD11blo cells. IDO1 expression was further restricted to a discrete, CD11c and asialo-GM1 double-positive subpopulation of these cells, designated here as IDVCs (IDO1-dependent vascularizing cells), due to the dominant role that IDO1 activity in these cells was found to play in promoting neovascularization. Mechanistically, the induction of IDO1 in IDVCs provided a negative-feedback constraint on the antiangiogenic effect of host IFNγ by intrinsically signaling for the production of IL6 through general control nonderepressible 2 (GCN2)–mediated activation of the integrated stress response. These findings reveal fundamental molecular and cellular insights into how IDO1 interfaces with the inflammatory milieu to promote neovascularization.
Uncertainty and sensitivity analysis applied to a voltage series operational amplifier
Authors: Ibrahim Mohammad Nizam , Che Soh Zainal Hisham , Mohamad Hadis Nor Shahanim , Othman Ali 
Published: February 2021

This paper investigates the applied uncertainty and sensitivity analysis to resistors used in voltage series operational amplifier circuit. Two resistors bands are considered which are the gold band (5% uncertainty) and the silver band (10% uncertainty). To generate resistors uncertainty sample points, the SIMLAB uncertainty and sensitivity tool is used. A total of sample points based on Sobol’ technique has been created for each resistor band. The voltage series amplifier is modelled in MATLAB/Simulink. A MATLAB script has been written to execute Monte-Carlo simulations for reading the resistor sample points, updating and executing the voltage series model and finally calculating the voltage gain. The result of uncertainty analysis shows that the produced voltage gain is uncertain within the range of for the gold band and for the silver band with respect to a reference voltage gain. The result of sensitivity analysis shows that each resistor, although their values are different, contributes equally contribution to the uncertainty of voltage gain.
Combating the hate speech in Thai textual memes
Authors: Mookdarsanit Lawankorn , Mookdarsanit Pakpoom 
Published: February 2021

<span>Thai textual memes have been popular in social media, as a form of image information summarization. Unfortunately, many memes contain some hateful content that easily causes the controversy in Thailand. </span><span>For global protection, t</span><span>he </span><em><span>Hateful Memes Challenge</span></em><span> is also provided by </span><em><span>Facebook AI</span></em><span> to enable researchers to compete their algorithms for combating the hate speech on memes as one of </span><em><span>NeurIPS’20</span></em><span> competitions. As well as in Thailand, this paper introduces the Thai textual meme detection as a new research problem in Thai natural language processing (Thai-NLP) that is the settlement of transmission linkage between scene text localization, Thai optical recognition (Thai-OCR) and language understanding. From the results, both regular and irregular text position can be localized by one-stage detection pipeline. More scene text can be augmented by different resolution and rotation. The accuracy of Thai-OCR using convolutional neural network (CNN) can be improved by recurrent neural network (RNN). Since misspelling Thai words are frequently used in social, this paper categorizes them as synonyms to train on multi-task pre-trained language model. </span>
SMUPI-BIS: a synthesis model for users’ perceived impact of business intelligence systems
Authors: Shakir Nasir Intedhar , Mousa Ayad Hameed , Hussein Alsammak Ihab L. 
Published: February 2021

Business intelligence is a collection of methodologies, methods, architectures, and technologies that convert raw data into significant and useful information used by organizations to enable more effective strategic, tactical, and operational insights and decision-making. In spite of several studies have examined the critical success factors and development of business intelligence System, but few relevant studies have investigated perceptions of end-users Business Intelligence Systems. Furthermore, none of those studies was performed in a Higher Education Sector in Iraq. Consequently, the study aims to determine the business intelligence system features influencing perceived impact end users’ and of using business intelligence systems in Iraqi educational institutes. A technology acceptance model and technology organization environment framework were syntheses as a basis to develop a research model for business intelligence users' perceived impact and adopt of business intelligence systems named (SMUPI-BIS). Later, an online instrument (questionnaire) was designed to gather data from the business intelligence system users in five Iraqi universities. Twenty-one hypotheses were proposed and later tested. Then, for data analysis, the authors used several methods such as hierarchical regression, one-way ANOVA, descriptive statistics as well as structural equation modeling (SEM). The main outcomes of this study suggest that decision support, information quality, and real-time reporting are the most significant system characteristics influencing end users' perceived impact and their usage of business intelligence systems.
Healthy Lifestyle and Clonal Hematopoiesis of Indeterminate Potential: Results From the Women's Health Initiative
Authors: Haring Bernhard , Reiner Alexander P. , Liu Jingmin , Tobias Deirdre K. , Whitsel Eric , Berger Jeffrey S. , Desai Pinkal , Wassertheil‐Smoller Sylvia , LaMonte Michael J. , Hayden Kathleen M. , Bick Alexander G. , Natarajan Pradeep , Weinstock Joshua S. , Nguyen Patricia K. , Stefanick Marcia , Simon Michael S. , Eaton Charles B. , Kooperberg Charles , Manson JoAnn E. 
Published: February 2021

Background
Presence of clonal hematopoiesis of indeterminate potential (CHIP) is associated with a higher risk of atherosclerotic cardiovascular disease, cancer, and mortality. The relationship between a healthy lifestyle and CHIP is unknown.

Methods and Results

This analysis included 8709 postmenopausal women (mean age, 66.5 years) enrolled in the WHI (Women's Health Initiative), free of cancer or cardiovascular disease, with deep‐coverage whole genome sequencing data available. Information on lifestyle factors (body mass index, smoking, physical activity, and diet quality) was obtained, and a healthy lifestyle score was created on the basis of healthy criteria met (0 point [least healthy] to 4 points [most healthy]). CHIP was derived on the basis of a prespecified list of leukemogenic driver mutations. The prevalence of CHIP was 8.6%. A higher healthy lifestyle score was not associated with CHIP (multivariable‐adjusted odds ratio [OR] [95% CI], 0.99 [0.80–1.23] and 1.13 [0.93–1.37]) for the upper (3 or 4 points) and middle category (2 points), respectively, versus referent (0 or 1 point). Across score components, a normal and overweight body mass index compared with obese was significantly associated with a lower odds for CHIP (OR, 0.71 [95% CI, 0.57–0.88] and 0.83 [95% CI, 0.68–1.01], respectively;
P
‐trend 0.0015). Having never smoked compared with being a current smoker tended to be associated with lower odds for CHIP.

Conclusions
A healthy lifestyle, based on a composite score, was not related to CHIP among postmenopausal women. However, across individual lifestyle factors, having a normal body mass index was strongly associated with a lower prevalence of CHIP. These findings support the idea that certain healthy lifestyle factors are associated with a lower frequency of CHIP.
Clinical Application of Serologic Testing for Coronavirus Disease 2019 in Contemporary Cardiovascular Practice
Authors: Damluji Abdulla A. , Christenson Robert H. , deFilippi Christopher 
Published: February 2021

Abstract
In patients with cardiovascular disease, the use of antibody or serological testing is frequently encountered as the coronavirus disease 2019 pandemic continues to evolve. Antibody testing detects one form of the acquired immunological response to a pathogenic antigen. Once the immune system recognizes a viral antigen or a protein as foreign, a humoral immune response is initiated, which is generally detected by laboratory testing in 5 to 10 days after the initial exposure. While this information is critical from a public health perspective to implement surveillance systems and measures to limit infectivity and transmission rate, the misinterpretation of serologic testing in clinical practice has generated much confusion in the medical community because some attempted to apply these strategies to individual patient's treatment schemes.
In this mini‐review, we examine the different serologic‐based testing strategies, how to interpret their results, and their public health impact at the population level, which are critical to contain the transmission of the virus in the community within a busy cardiovascular practice. Further, this review will also be particularly helpful as vaccination and immune therapy for coronavirus disease 2019 become available to the society as a whole.
Go Red for Women Strategically Focused Research Network: Summary of Findings and Network Outcomes
Authors: St‐Onge Marie‐Pierre , Aggarwal Brooke , Allison Matthew A. , Berger Jeffrey S. , Castañeda Sheila F. , Catov Janet , Hochman Judith S. , Hubel Carl A. , Jelic Sanja , Kass David A. , Makarem Nour , Michos Erin D. , Mosca Lori , Ouyang Pamela , Park Chorong , Post Wendy S. , Powers Robert W. , Reynolds Harmony R. , Sears Dorothy D. , Shah Sanjiv J. , Sharma Kavita , Spruill Tanya , Talavera Gregory A. , Vaidya Dhananjay 
Published: February 2021

Abstract
The Go Red for Women movement was initiated by the American Heart Association (AHA) in the early 2000s to raise awareness concerning cardiovascular disease (CVD) risk in women. In 2016, the AHA funded 5 research centers across the United States to advance our knowledge of the risks and presentation of CVD that are specific to women. This report highlights the findings of the centers, showing how insufficient sleep, sedentariness, and pregnancy‐related complications may increase CVD risk in women, as well as presentation and factors associated with myocardial infarction with nonobstructive coronary arteries and heart failure with preserved ejection fraction in women. These projects were augmented by collaborative ancillary studies assessing the relationships between various lifestyle behaviors, including nightly fasting duration, mindfulness, and behavioral and anthropometric risk factors and CVD risk, as well as metabolomic profiling of heart failure with preserved ejection fraction in women. The Go Red for Women Strategically Focused Research Network enhanced the evidence base related to heart disease in women, promoting awareness of the female‐specific factors that influence CVD.
Propranolol Reduces the Development of Lesions and Rescues Barrier Function in Cerebral Cavernous Malformations
Authors: Oldenburg Joppe , Malinverno Matteo , Globisch Maria Ascencion , Maderna Claudio , Corada Monica , Orsenigo Fabrizio , Conze Lei Liu , Rorsman Charlotte , Sundell Veronica , Arce Maximiliano , Smith Ross O. , Yau Anthony C.Y. , Billström Gry Hulsart , Mägi Caroline Öhman , Beznoussenko Galina V. , Mironov Alexander A. , Fernando Dinesh , Daniel Geoffrey , Olivari Davide , Fumagalli Francesca , Lampugnani Maria Grazia , Dejana Elisabetta , Magnusson Peetra U. 
Published: February 2021

Background and Purpose:
Cerebral cavernous malformations (CCM) present as mulberry-like malformations of the microvasculature of the central nervous system. Current medical treatment of CCM lesions is limited to surgical removal of the vascular malformations. It is, therefore, important to identify therapeutic drug treatments for patients with CCM. Propranolol has shown great benefit in the treatment of infantile hemangioma. In addition, patients with CCM who receive propranolol have demonstrated a reduction of their lesions. Our investigation set out to provide preclinical data to support propranolol as a therapeutic treatment.

Methods:

An inducible endothelial-specific
Ccm3
knockout murine model (CCM3
iECKO
) was used, with assessment of lesion quantity and size following oral treatment with propranolol. Scanning and transmission electron microscopy were used to characterize the CCM3
iECKO
lesions and the effects of propranolol on the disease. Immunofluorescent imaging was used to investigate pericyte coverage in the propranolol-treated CCM3
iECKO
mice.

Results:

With propranolol treatment, the lesion quantity, size, and volume decreased in both the brain and retina in the CCM3
iECKO
model. Novel characteristics of the CCM3
iECKO
lesions were discovered using electron microscopy, including plasmalemmal pits and thickening of the endothelial-pericyte basal membrane. These characteristics were absent with propranolol treatment. Pericyte coverage of the CCM3
iECKO
lesions increased after propranolol treatment, and vascular leakage was reduced.

Conclusions:
This study supports the concept that propranolol can be used to reduce and stabilize vascular lesions and can, therefore, be suggested as a pharmaceutical treatment for CCM.
Making Representations: The SDG Process and Major Groups’ Images of the Future
Authors: Knappe Henrike , Schmidt Oscar 
Published: February 2021

Abstract
The Sustainable Development Goals (SDGs) process aimed to be more inclusive, transparent, and participatory than prior United Nations processes. This article traces the practices of representation that were performed by civil society actors during the SDG process. In doing so, we advance a performative approach in which the very process of making representation is examined. Its aim is to conceptualize and study representation as an aesthetic and political practice. This leads to the two central research questions of this article: How do civil society organizations in global environmental politics make representative claims by picturing their envisioned future? How are future representations (that is, the representation of futures or future beings) related to actor positions during the SDG process? Special emphasis is given to representations of “the future” as an ever-present frame of reference in environmental politics. Based on a systematic content analysis of the statements of two Major Groups—Children, and Youth and Farmers—we discuss the variety of future representations between the Major Groups and how especially more radical future representations are connected to rather precarious actor positions in representative claims.
The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves
Authors: Weistuch Corey , Mujica-Parodi Lilianne R. , Dill Ken 
Published: February 2021

Abstract
The relationship between complex brain oscillations and the dynamics of individual neurons is poorly understood. Here we utilize maximum caliber, a dynamical inference principle, to build a minimal yet general model of the collective (mean field) dynamics of large populations of neurons. In agreement with previous experimental observations, we describe a simple, testable mechanism, involving only a single type of neuron, by which many of these complex oscillatory patterns may emerge. Our model predicts that the refractory period of neurons, which has often been neglected, is essential for these behaviors.
Contrastive Similarity Matching for Supervised Learning
Authors: Qin Shanshan , Mudur Nayantara , Pehlevan Cengiz 
Published: February 2021

Abstract
We propose a novel biologically plausible solution to the credit assignment problem motivated by observations in the ventral visual pathway and trained deep neural networks. In both, representations of objects in the same category become progressively more similar, while objects belonging to different categories become less similar. We use this observation to motivate a layer-specific learning goal in a deep network: each layer aims to learn a representational similarity matrix that interpolates between previous and later layers. We formulate this idea using a contrastive similarity matching objective function and derive from it deep neural networks with feedforward, lateral, and feedback connections and neurons that exhibit biologically plausible Hebbian and anti-Hebbian plasticity. Contrastive similarity matching can be interpreted as an energy-based learning algorithm, but with significant differences from others in how a contrastive function is constructed.
Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome
Authors: Vincent-Lamarre Philippe , Larivière Vincent 
Published: February 2021

AbstractWe analyzed a data set of scientific manuscripts that were submitted to various conferences in artificial intelligence. We performed a combination of semantic, lexical, and psycholinguistic analyses of the full text of the manuscripts and compared them with the outcome of the peer review process. We found that accepted manuscripts scored lower than rejected manuscripts on two indicators of readability, and that they also used more scientific and artificial intelligence jargon. We also found that accepted manuscripts were written with words that are less frequent, that are acquired at an older age, and that are more abstract than rejected manuscripts. The analysis of references included in the manuscripts revealed that the subset of accepted submissions were more likely to cite the same publications. This finding was echoed by pairwise comparisons of the word content of the manuscripts (i.e., an indicator of semantic similarity), which were more similar in the subset of accepted manuscripts. Finally, we predicted the peer review outcome of manuscripts with their word content, with words related to machine learning and neural networks positively related to acceptance, whereas words related to logic, symbolic processing, and knowledge-based systems negatively related to acceptance.
Engendering Change: Charting a History of the Emirates through Women Artists
Authors: Derderian Elizabeth 
Published: February 2021

Abstract
Contrary to narratives of universally positive modernization in the United Arab Emirates, this article draws on the lives and work of women artists to offer a more detailed view of the UAE’s rapid urbanization and development. First, the article shows how changing educational structures and systems led to the privileging of the English language, which has resulted in differential generational access to a contemporary art world that operates predominantly in English. Second, the article looks at the losses of urbanization illustrated by artists reflecting on the changing experience of community, gendered norms of public behavior, the role of buildings and monuments in navigation and identity, and resource exploitation.
From Invisible to Actualized: Imagery and Identity in Photos of Women in the Gulf
Authors: Kelly Marjorie , Al-Ajmi Sara Essa 
Published: February 2021

Abstract
After reviewing how Middle Eastern women have been photographed historically, the paper explores how contemporary Gulf women represent themselves, both behind and in front of the camera. Initially, women were invisible, then eroticized or exoticized in Orientalist photography, only to appear in early twentieth-century family portraits as both the repository of cultural values and as the new, modern woman. The reaction of contemporary Gulf female photographers to perceptions of themselves as jobless, nameless, faceless, and voiceless is presented in examples of art photography-cum-political commentary. The media coverage of Qatar’s Shaykha Mūza is analyzed in terms of her use of clothing as nonverbal communication and as a form of soft-power politics. It is followed by a discussion of the rules – formal and informal – for publishing photos of females. The paper concludes with a survey of Gulf females’ use of selfies. Thus, three aspects of photography – as art, as photojournalism, and as private communication – demonstrate how Gulf women visually represent their identities.
Progress, Problems, and Prospects: R2P 15 Years after the World Summit
Authors: Hunt Charles T. , Jacob Cecilia , Gallagher Adrian 
Published: February 2021

Abstract
This short article introduces the GR2P Forum reflecting on the Responsibility to Protect (R2P) doctrine 15 years after it was institutionalised at the international level through the World Summit Outcome Document. It contextualises the relevance of critical reflections on the R2P at its 15th anniversary and then lays out the aims and objectives of the Forum. It provides an overview of the different contributions, describing the perspectives of the authors and the key arguments they present.
The Ladder of Collaboration: Research on Joint Actions of Social Organizations against the COVID-19 Epidemic
Authors: Yang Bao , Xiao Lujun , Chen Kun 
Published: February 2021

Abstract
Joint actions of social organizations have been frequently seen and continuously optimized since the outbreak of the COVID-19. This article is aimed to identify and explore the typical forms and development trends of collaborative networks of social organizations. Given the case studies on joint actions of social organizations, it builds an analysis framework based on actor-network theory (ANT). Research findings are as follows. First, there are, among social organizations in their joint actions against COVID-19, “loose”, “vertical”, “decentralized” and other typical forms of collaborative network, with “decentralized” collaboration showing quite a high degree of initiative. Second, “complex needs” and “political opportunities” that emerge in times of emergency response, “social entrepreneurship” and “bridging connective social capital” that accumulate in normal times, among other factors, have combined to drive vertical collaborative networks towards decentralization. The above three forms of collaboration, each with irreplaceable functions, together comprise an ecosystem of joint actions of social organizations. This article calls the landscape of dynamic practice of joint actions of social organizations a “ladder of collaboration”.