Miracle-dz/UniFAR-FTUs huggingface dataset:
Systemic Vascular Hemodynamic Changes due to 17-β-Estradiol Intranasal Administration

Purpose: According to the literature, estradiol has a direct vasodilator action by means of endothelium-derived relaxing factor synthesis. The present study aims to evaluate the acute hemodynamic effects of intranasal 17-β-estradiol on cerebral and lower limb arterial circulation in postmenopausal women. Methods: Sixteen healthy women in natural menopause (mean age: 54 ± 3 years) were investigated for at least 6 months, each receiving 300 µg of intranasal 17-β-estradiol. We evaluated the heart rate, systolic/diastolic blood pressure, peak systolic velocity, end-diastolic velocity, and velocity–time integral (VTI) at the level of internal carotid and posterior tibial arteries, before and after 30, 60, and 180 minutes of drug administration. Results: After intranasal 17-β-estradiol administration, the internal carotid artery VTI showed statistically significant (P < .05) variations at all the time intervals after administration of the drug (30, 60, and 180 minutes) when compared with “time zero” (T0, ie, the speed recorded at baseline before drug administration). No significant variation was found at the posterior tibial artery. The systolic/diastolic blood pressure and heart rate did not significantly differ before and after drug administration. Conclusions: The administration of a single intranasal dose of 17-β-estradiol in healthy postmenopausal women increased cerebral perfusions, whereas the effect on peripheral circulation was much more limited.
Sex‐based differences in endurance exercise muscle metabolism: impact on exercise and nutritional strategies to optimize health and performance in women

What is the topic of this review? The topic is how sex influences carbohydrate and fat metabolism during exercise and whether this influences adaptation to nutritional and exercise regimens aiming to improve health and performance. What advances does it highlight? Women respond differently to certain nutritional and training regimens aimed at improving health and performance. Few studies have included women in trials and thus we are unsure how women respond to nutritional and training strategies aimed at improving health and performance.
Opening Up to Lung Recruitment Pulmonary Contusion and Derecruitment - The Role of Inflammation

Purpose of review: It was recently reported that a lung protective ventilation strategy resulted in no fatalities in 17 patients with ARDS secondary to lung contusion. Although the efficacy of a lung protective ventilation strategy to reduce mortality in ARDS patients has been demonstrated, the underlying mechanisms for this reduction remain unclear. Recent findings: ARDS is characterized by an inflammatory state of the lung that can be aggravated by mechanical ventilation. Especially mechanical ventilation allowing cyclic opening and closing of unstable alveoli, enhances cytokine release and can even result in loss of compartmentalization. Disbalance in the cytokine response can promote bacterial colonization
GMine: a system for scalable, interactive graph visualization and mining

Several graph visualization tools exist. However, they are not able to handle large graphs, and/or they do not allow interaction. We are interested on large graphs, with hundreds of thousands of nodes. Such graphs bring two challenges: the first one is that any straightforward interactive manipulation will be prohibitively slow. The second one is sensory overload: even if we could plot and replot the graph quickly, the user would be overwhelmed with the vast volume of information because the screen would be too cluttered as nodes and edges overlap each other.Our GMine system addresses both these issues, by using summarization and multi-resolution. GMine offers multi-resolution graph exploration by partitioning a given graph into a hierarchy of communities-within-communities and storing it into a novel R-treelike structure which we name G-Tree. GMine offers summarization by implementing an innovative subgraph extraction algorithm and then visualizing its output.
Localisation of a sound source in different positions using Kinect sensors

A novel acoustic signal processing algorithm for sound source localisation is proposed and is implemented using two Microsoft Kinect sensors. The proposed method performs sound source localisation using a two stage method. A coarse grain location estimate is first made followed by a more accurate estimate of sound source location by estimating power spectral densities of a number of two-dimensional spatial regions. The paper outlines the sound source localisation method is able to localise a sound source within a series of predefined spatial regions. Testing of the proposed method shows it is able to localise an active sound source whilst maintaining low computational cost and can maintain good localisation performance whilst ambient noise is present.
Feedback Regulation of c-Myc by Ribosomal Protein L11

Several ribosomal proteins including L11 have been shown to activate p53 by inhibiting oncoprotein MDM2, leading to inhibition of cell cycle progression. Our recent study showed that L11 also inhibits oncoprotein c-Myc. Overexpression of L11 inhibits c-Myc-induced transcription and cell proliferation, while reduction of endogenous L11 increases these c-Myc activities. Interestingly, L11 is a transcriptional target of c-Myc, thus forming a negative feedback loop. We further showed that L11 competes with co-activator TRRAP for binding to c-Myc through the Myc box II (MB II) and reduces histone H4 acetylation at c-Myc target gene promoters. In addition, L11 appears to regulate c-Myc levels. Knocking down L11 markedly increases the mRNA and protein levels of endogenous c-Myc. These results suggest that L11 also inhibits cell cycle progression by regulating the c-Myc pathway. Here we further discuss the implications of this regulation and questions that this finding raises.
The angiogenesis in colorectal carcinomas with and without lymph node metastases.

UNLABELLED Many clinical trials revealed that the anti-angiogenic treatment could improve prognosis in patients with metastatic colorectal carcinomas (CRC), when added to standard chemotherapy. In this paper, we tried to find out if the microvascular density (MVD) determined with CD31, CD105 was correlated with lymph node status, and if the intensity of angiogenesis was different in right versus left colon segments. We studied 187 CRC, with and without lymph node metastases, 128 from left and 59 from right colon. RESULTS In the right colon, the MVD was higher in the cases where the lymph nodes did not present metastases (pN0) but also when four or more lymph nodes were involved (pN2). In the rectum and sigma, the angiogenesis presented the highest intensity in pN0 and pN1 stage (1-3 lymph nodes with metastases), decreasing in pN2 stage. In the descendent colon segment, the MVD did not present differences between the cases with and without lymph node metastases. CONCLUSIONS Our study reveals that the most indicated cases for antiangiogenic treatment seem to be the pN0 and pN1 cases in the rectum and sigma, respectively pN0 and pN2 cases in the right colon. We tend to believe that the angiogenesis intensity in CRC is higher in early-stages of the tumoral proliferation but it is not an increasing process, having rather an oscillating character. Therefore, the angiogenesis remains an independent prognostic and predictive factor and the antiangiogenic treatment is necessary to be individualized for each patient.
Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters

Class learning, both supervised and unsupervised, requires feature selection, which includes two main components. The first is the selection of a discriminative subset of features from a larger pool. The second is the selection of detection parameters for each feature to optimize classification performance. In this paper we present a method for the discovery of multiple classification features, their detection parameters and their consistent configurations, in the fully unsupervised setting. This is achieved by a global optimization of joint consistency between the features as a function of the detection parameters, without assuming any prior parametric model. We demonstrate how the proposed framework can be applied for learning different types of feature parameters, such as detection thresholds and geometric relations, resulting in the unsupervised discovery of informative configurations of objects parts. We test our approach on a wide range of classes and show good results. We also demonstrate how the approach can be used to unsupervisedly separate and learn visually similar sub-classes of a single category, such as facial views or hand poses. We use the approach to compare various criteria for feature consistency, including Mutual Information, Suspicious Coincidence, L2 and Jaccard index. Finally, we compare our approach to aparametric consistency optimization technique such as pLSA and show significantly better performance.
The heart's eye: Emotional influences in perception and attention.

Introduction, S. Kitayama and P.M. Niedenthal an early insight into the affect-perception interface, R.B. Zajonc the affective qualities of perception, I. Waynbaum affective regulation of perception and comprehension - amplification and semantic priming, S. Kitayama and S. Howard preferences need no inferences? - the cognitive basis of unconscious mere exposure effects, M.R. Klinger and A.G. Greenwald emotional organization of perceptual memory, P.M. Niedenthal, et al consciousness and automatic evaluation, F. Pratto comments on unconscious processing - finding emotion in the cognitive stream, M.K. Johnson and C. Weisz motivating the focus of attention, D. Derryberry and D.M. Tucker attitudes, perception, and attention, R.H. Fazio, et al automatic emotion, C.H. Hansen and R.D. Hansen attention and facial efference, C.H. Hansen and R.D. Hansen emotion and the eyewitness, H. Egeth the view from the heart's eye - a commentary, J. Bruner.
Cellular Immune Responses in Children and Adults Receiving Inactivated or Live Attenuated Influenza Vaccines

ABSTRACT The patterns of cellular immune responses induced by live attenuated influenza vaccine (LAIV) versus those of the trivalent inactivated influenza vaccine (TIV) have not been studied extensively, especially in children. The goals of this study were to evaluate the effects of TIV and LAIV immunization on cellular immunity to live influenza A virus in children and adults and to explore factors associated with variations in responses to influenza vaccines among individuals. A gamma interferon (IFN-γ) flow cytometry assay was used to measure IFN-γ-producing (IFN-γ+) NK and T cells in peripheral blood mononuclear cell cultures stimulated with a live influenza A virus strain before and after LAIV or TIV immunization of children and adults. The mean percentages of influenza A virus-specific IFN-γ+ CD4 and CD8 T cells increased significantly after LAIV, but not TIV, immunization in children aged 5 to 9 years. No increases in the mean levels of influenza A virus-reactive IFN-γ+ T cells and NK cells were observed in adults given LAIV or TIV. TIV induced a significant increase in influenza A virus-reactive T cells in 6-month- to 4-year-old children; LAIV was not evaluated in this age group. The postvaccination changes (n-fold) in the percentages of influenza A virus-reactive IFN-γ+ T and NK cells in adults were highly variable and correlated inversely with the prevaccination percentages, in particular with that of the CD56dim NK cell subset. In conclusion, our findings identify age, type of vaccine, and prevaccination levels of immune reactivity to influenza A virus as factors significantly associated with the magnitude of cellular immune responses to influenza vaccines.
Leader following consensus for multi-agent systems with stochastic packet dropout

This paper is to develop a novel consensus algorithm or protocol for multi-agent systems in the event of communication link failure over the network. System dynamics are defined as a double-integrator system with the topology of MAS modeled by the graph theory. Bernoulli distribution is applied to represent the data dropout during operation. The sufficient conditions for the stabilization controller design is developed by Lyapunov-based methodologies and Linear matrix inequality (LMIs) techniques. The feasibility of the given LMIs is analyzed to ensure the stabilization controller design, which ensures the MAS to achieve the consensus. Leader-following numerical simulations with a group of agents are successfully conducted to demonstrate the effectiveness of the novel consensus algorithm in this paper. The results are studied to show that the consensus achievement is incorporating with the data loss probability up to 95%, however the higher data loss rate may cause longer time for agents to achieve consensus.
Representing the Other: A Feminism & Psychology Reader

PART ONE: ARTICLES Theorizing Representing the Other - Celia Kitzinger and Sue Wilkinson Daring To Presume - Anna Livia PART TWO: SHORT CONTRIBUTIONS The Mother of Invention - Liz Stanley Necessity, Writing and Representation Bearing Witness - Barbara Katz Rothman Representing Women's Experiences of Prenatal Diagnosis Waking from a Dream of Chinese Shadows - Magdalene Ang-Lygate Voices in the Winds of Change - Amanda Kottler Able-Bodied Dilemmas in Teaching Disability Studies - Deborah Marks Infertility - Anne Woollett From 'Inside/Out' to 'Outside/In' Representing Gay Men with HIV/AIDS - Adrian Coyle The Seduction of Sameness - Tracey L Hurd and Alice McIntyre Similarity and Representing the Other White Woman Researcher - Black Women Subjects - Rosalind Edwards Between a Rock and a Hard Place - Diana E H Russell The Politics of White Feminists Conducting Research on Black Women in South Africa Politics and Women's Weight - Joan C Chrisler 'See Whose Face It Wears' - Christine Griffin Differences, Otherness and Power Representing Other Feminists - Diane Richardson 'White Women Can't Speak? ' - Diane Bell Putting Pakeha into the Picture - Kate Paulin Analyzing Lesbian/Bisexual Politics in Aotearoa/New Zealand Representation and Difference in Cross-Cultural Research - Marion Martin and Beth Humphries The Impact of Institutional Structures Questions of Legitimacy - Manjit Bola The Fit between Researcher and Researched The Reproduction of Othering - Brown Representing the Prostitute - Sheila Jeffreys The Spec(tac)ular Economy of Difference - Erica Burman Giving Voice - Katie MacMillan The Participant Takes Issue Across Differences of Age - Marian Titley and Becky Chasey Young Women Speaking of and with Old Women Responsibility and Advocacy - Anita Harris Representing Young Women Beside the Standpoint - Mike Gane 'Some of This Seems to Me Straight Feminist Stuff' - Anna Madill Representing the Other in Discursive Psychotherapy Research Questioning Representing the Other - Jean Carabine Issues of Power and Conflict Resolution in Representing the Other - Gabriele Griffin PART THREE: THE SPOKEN WORD Speaking of Representing the Other - Celia Kitzinger in conversation with Manjit Bola et al
Independence complexes of comaximal graphs of commutative rings with identity

We study topology of the independence complexes of comaximal (hyper)graphs of commutative rings with identity. We show that the independence complex of comaximal hypergraph is contractible or homotopy equivalent to a sphere, and that the independence complex of comaximal graph is almost always contractible.
Personalization of Energy Expenditure Estimation in Free Living Using Topic Models

We introduce an approach to personalize energy expenditure (EE) estimates in free living. First, we use topic models to discover activity composites from recognized activity primitives and stay regions in daily living data. Subsequently, we determine activity composites that are relevant to contextualize heart rate (HR). Activity composites were ranked and analyzed to optimize the correlation to HR normalization parameters. Finally, individual-specific HR normalization parameters were used to normalize HR. Normalized HR was then included in activity-specific regression models to estimate EE. Our HR normalization minimizes the effect of individual fitness differences from entering in EE regression models. By estimating HR normalization parameters in free living, our approach avoids dedicated individual calibration or laboratory tests. In a combined free-living and laboratory study dataset, including 34 healthy volunteers, we show that HR normalization in 14-day free-living data improves accuracy compared to no normalization and normalization based on activity primitives only (29.4% and 19.8 % error reduction against lab reference). Based on acceleration and HR, both recorded from a necklace, and GPS acquired from a smartphone, EE estimation error was reduced by 10.7% in a leave-one-participant-out analysis.
UvA-DARE (Digital Academic Repository) Motivational mechanisms and outcome expectancies underlying the approach bias toward addictive substances

Human behavior can be paradoxical, in that actions can be initiated that are seemingly incongruent with an individual’s explicit desires. This is most commonly observed in drug addiction, where maladaptive behavior (i.e., drug seeking) appears to be compulsive, continuing at great personal cost. Approach biases toward addictive substances have been correlated with actual drug-use in a number of studies, suggesting that this measure can, in some cases, index everyday maladaptive tendencies.At present it is unclear whether this bias to drug cues is a Pavlovian conditioned approach response, a habitual response, the result of a Pavlovian-instrumental transfer process, or a goal-directed action in the sense that expectancy of the rewarding effects of drugs controls approach. We consider this question by combining the theoretical framework of associative learning with the available evidence from approach bias research. Although research investigating the relative contributions of these mechanisms to the approach bias is to date relatively limited, we review existing studies and also outline avenues for future research.
Antagonism of oxytocin prevents suckling- and estradiol-induced, but not progesterone-induced, secretion of prolactin.

In female rats, estradiol (E(2)) and suckling induce prolactin (PRL) secretion. This involves inhibition of hypothalamic dopaminergic tone and stimulation by a PRL-releasing hormone, possibly oxytocin (OT). Infusing an OT antagonist (OTA) i.v. , we evaluated the role of OT on suckling- and E(2)-induced PRL secretion. Three days after parturition at 0900 h, lactating dams were fitted with 24-h osmotic minipumps filled with saline or OTA. On d 5 of lactation, pups were separated from their dams for 6 h. Immediately or 20 min after the resumption of suckling, dam trunk blood was collected. Also, ovariectomized (OVX) rats were treated with E(2) (OVE) and OTA at 1000 h on d 1. Blood samples were obtained from 1300 to 2100 h on d 2 for PRL measurements. Additionally, OVX rats were evaluated on d 2 after receiving progesterone (P(4)). OTA blocked suckling and E(2)-induced release of PRL but not that induced by E(2)+P(4). Pups from treated dams failed to gain weight when allowed to nurse for 20 min on d 5 but gained more than 7 g when nursed on d 7 of lactation, indicating that the OTA was active 48 h later. Western blot analysis showed that E(2) treatment increased OT receptors in the anterior pituitary when compared with OVX animals. No further increase was observed in response to the P(4), suggesting that the enhancing effect of P(4) on E(2)-induced PRL release may act through mechanisms independent of OT. These data demonstrate the role of OT in the control of suckling and steroid-induced PRL secretion.
B2B Services: Worksheet-Driven Development of Modeling Artifacts and Code

In the development process of a B2B system, it is crucial that the business experts are able to express and evaluate agreements and commitments between the partners, and that the software engineers get all necessary information to bind the private process interfaces to the public ones. UN/CEFACT's modeling methodology (UMM) is a Unified Modeling Language (UML) profile for developing B2B processes. The formalisms introduced by UMM's stereotypes facilitate the communication with the software engineers. However, business experts—who usually have a very limited understanding of UML—prefer expressing their thoughts and evaluating the results by plain text descriptions. In this paper, we describe an approach that presents an equivalent of the UMM stereotypes and tagged values in text-based templates called worksheets. This strong alignment allows an integration into a UMM modeling tool and ensures consistency. We show how a specially designed XML-based worksheet definition language allows customization to special needs of certain business domains. Furthermore, we demonstrate how information kept in worksheets may be used for the semi-automatic generation of pattern-based UMM artifacts which are later transformed to web service definition language and business process execution language code.
MEK1-ERK2 Signaling Pathway Protects Myocardium From Ischemic Injury In Vivo

Background—Myocardial infarction causes a rapid and largely irreversible loss of cardiac myocytes that can lead to sudden death, ventricular dilation, and heart failure. Members of the mitogen-activated protein kinase (MAPK) signaling cascade have been implicated as important effectors of cardiac myocyte cell death in response to diverse stimuli, including ischemia-reperfusion injury. Specifically, activation of the extracellular signal–regulated kinases 1/2 (ERK1/2) has been associated with cardioprotection, likely through antagonism of apoptotic regulatory pathways. Methods and Results—To establish a causal relationship between ERK1/2 signaling and cardioprotection, we analyzed Erk1 nullizygous gene-targeted mice, Erk2 heterozygous gene-targeted mice, and transgenic mice with activated MEK1-ERK1/2 signaling in the heart. Although MEK1 transgenic mice were largely resistant to ischemia-reperfusion injury, Erk2+/− gene-targeted mice showed enhanced infarction areas, DNA laddering, and terminal deoxynucleotidyl transferase–mediated dUTP biotin nick-end labeling (TUNEL) compared with littermate controls. In contrast, enhanced MEK1-ERK1/2 signaling protected hearts from DNA laddering, TUNEL, and preserved hemodynamic function assessed by pressure-volume loop recordings after ischemia-reperfusion injury. Conclusions—These data are the first to demonstrate that ERK2 signaling is required to protect the myocardium from ischemia-reperfusion injury in vivo.