Miracle-dz/UniFAR-FTUs huggingface dataset:
Acupuncture modulation of capsaicin-induced inflammation: effect of intraperitoneal and local administration of naloxone in rats. A blinded controlled study.

OBJECTIVE It is believed that acupunctural stimulation induces an analgesic response mainly through a central mechanism: that is, through an increase in the production of opioid peptides and their release at different levels in the nervous system. We sought to establish whether the modulating effect of acupuncture on experimental neurogenic edema can be attributed to a central mechanism only or whether a peripheral mechanism could also exist. Intraperitoneal administration was compared to local administration in the same paw in rats that were injected with capsaicin and in the same dermatome of the acupunctural stimulation. MATERIALS AND METHODS Experimentation was conducted on 105 male Sprague-Dawley rats weighing 180-220 g, divided into 7 groups as follows: group 1, control; groups 2-4 (15 animals), stimulated with manual acupuncture; group 3 also treated with intraperitoneal naloxone 1 mg/kg; group 4 also treated locally with naloxone (20 microg); groups 5-7 (15 animals), stimulated with 5 Hz and 5 mA electroacupuncture (EAP); group 6 also treated with intraperitoneal naloxone, 1 mg/kg, group 7 also treated locally with naloxone (20 microg). RESULTS The results indicate that the administration of 1 mg/kg of naloxone intraperitoneally can inhibit the modulating effect of acupunctural stimulation. Equally effective in inhibiting the modulating effect of acupunctural stimulation, although not having a systemic effect, is a 20-microg dose of naloxone administered peripherally on the site of edema induction. CONCLUSION It is possible to conclude that both systemic and peripheral mechanisms seem to be implicated in the modulating effect of acupuncture on the neurogenic inflammation mechanism.
Context Modulates the ERP Signature of Contour Integration

We investigated how the electrophysiological signature of contour integration is changed by the context in which a contour is embedded. Specifically, we manipulated the orientations of Gabor elements surrounding an embedded shape outline. The amplitudes of early visual components over posterior scalp regions were changed by the presence of a contour, and by the orientation of elements surrounding the contour. Differences in context type had an effect on the early P1 and N1 components, but not on the later P2 component. The presence of a contour had an effect on the N1 and P2 components, but not on the earlier P1 component. A modulatory effect of context on contour integration was observed on the N1 component. These results highlight the importance of the context in which contour integration takes place.
What users want in e-commerce design: effects of age, education and income

Preferences for certain characteristics of an online shopping experience may be related to demographic data. This paper discusses the characteristics of that experience, demographic data and preferences by demographic group. The results of an online survey of 488 individuals in the United States indicate that respondents are generally satisfied with their online shopping experiences, with security, information quality and information quantity ranking first in importance overall. The sensory impact of a site ranked last overall of the seven characteristics measured. Preferences for these characteristics in e-commerce sites were differentiated by age, education and income. The sensory impact of sites became less important as respondents increased in age, income or education. As the income of respondents increased, the importance of the reputation of the vendor rose. Web site designers may incorporate these findings into the design of e-commerce sites in an attempt to increase the shopping satisfaction of their users. Results from the customer relationship management portion of the survey suggest that current push technologies and site personalization are not an effective means of achieving user satisfaction.
Coiled-Coil Domain Containing Protein 124 Is a Novel Centrosome and Midbody Protein That Interacts with the Ras-Guanine Nucleotide Exchange Factor 1B and Is Involved in Cytokinesis

Cytokinetic abscission is the cellular process leading to physical separation of two postmitotic sister cells by severing the intercellular bridge. The most noticeable structural component of the intercellular bridge is a transient organelle termed as midbody, localized at a central region marking the site of abscission. Despite its major role in completion of cytokinesis, our understanding of spatiotemporal regulation of midbody assembly is limited. Here, we report the first characterization of coiled-coil domain-containing protein-124 (Ccdc124), a eukaryotic protein conserved from fungi-to-man, which we identified as a novel centrosomal and midbody protein. Knockdown of Ccdc124 in human HeLa cells leads to accumulation of enlarged and multinucleated cells; however, centrosome maturation was not affected. We found that Ccdc124 interacts with the Ras-guanine nucleotide exchange factor 1B (RasGEF1B), establishing a functional link between cytokinesis and activation of localized Rap2 signaling at the midbody. Our data indicate that Ccdc124 is a novel factor operating both for proper progression of late cytokinetic stages in eukaryotes, and for establishment of Rap2 signaling dependent cellular functions proximal to the abscission site.
Robust Online Algorithms for Peak-Minimizing EV Charging Under Multistage Uncertainty

In this paper, we study how to utilize forecasts to design online electrical vehicle (EV) charging algorithms that can attain strong performance guarantees. We consider the scenario of an aggregator serving a large number of EVs together with its background load, using both its own renewable energy (for free) and the energy procured from the external grid. The goal of the aggregator is to minimize its peak procurement from the grid, subject to the constraint that each EV has to be fully charged before its deadline. Further, the aggregator can predict the future demand and the renewable energy supply with some levels of uncertainty. We show that such prediction can be very effective in reducing the competitive ratios of online control algorithms, and even allow online algorithms to achieve close-to-offline-optimal peak. Specifically, we first propose a 2-level increasing precision model (2-IPM), to model forecasts with different levels of accuracy. We then develop a powerful computational approach that can compute the optimal competitive ratio under 2-IPM over any online algorithm, and also online algorithms that can achieve the optimal competitive ratio. Simulation results show that, even with up to 20% day-ahead prediction errors, our online algorithms still achieve competitive ratios fairly close to 1, which are much better than the classic results in the literature with a competitive ratio of $e$ . The second contribution of this paper is that we solve a dilemma for online algorithm design, e.g., an online algorithm with good competitive ratio may exhibit poor average-case performance. We propose a new Algorithm-Robustification procedure that can convert an online algorithm with good average-case performance to one with both the optimal competitive ratio and good average-case performance. We demonstrate via trace-based simulations the superior performance of the robustified version of a well-known heuristic algorithm based on model predictive control.
Activation of oocytes by latrunculin A

Actin depolymerization by latrunculin A (LAT‐A) in mature starfish oocytes induces a massive calcium mobilization that results in the discharge of the cortical granules and in the elevation of the fertilization envelope. The Ca2+ liberation starts as a circumscribed subplasma membrane hotspot, which is followed by a flash of Ca2+ increase restricted to the cortical layer. Ca2+ propagates rapidly from these peripheral regions to the center of the oocyte, initiating calcium oscillations. Blockade of the inositol 1,4,5‐trisphosphate receptors with heparin does not affect the liberation of Ca2+ at the initial hotspot or the cortical flash, but abolishes the centripetal spreading of the wave and the Ca2+ oscillations. In Ca2+‐free medium, LAT‐A also initiates Ca2+ release at a discrete cortical point, but then propagates throughout the cell without first forming the uniform cortical flash. The latter is thus linked to the influx of external Ca2+, somehow promoted by the depolymerization of cortical (microvillar) actin. The Ca2+ response to spermatozoa (i.e., peripheral hotspot, cortical flash, globalization of the signal) closely mimics that promoted by LAT‐A. Thus, the initial cortical release of Ca2+ promoted by the sperm may be due to the depolymerization of actin. —Lim, D. , Lange, K. , Santella, L. Activation of oocytes by latrunculin A. FASEB J. 16, 1050–1056 (2002)
Distributed energy measurements in wireless sensor networks

Energy efficiency is a common requirement for most WSN applications. We present our approach utilizing precise distributed monitoring of energy consumption to support the development of energy efficient protocols. There-fore we designed dedicated energy monitoring and management hardware for a wireless sensor network testbed. In our demonstration we show distributed energy measurement in a typical sensor network application based on an area monitoring scenario.
Is Peacekeeping Peaceful? A Systematic Review

Objective: To systematically review the literature on the association between deployment to a peacekeeping mission and distress, mental disorders, and suicide. Methods: Peer-reviewed English publications were found through key word searches in MEDLINE, PsycINFO, Scopus, and Embase, and by contacting authors in the field. Sixty-eight articles were included in this review. Results: Some studies have found higher levels of postdeployment distress and posttraumatic stress disorder (PTSD) symptoms. Most studies have not shown an increased risk of suicide in former peacekeepers. Correlates of distress and PTSD symptoms included level of exposure to traumatic events during deployment, number of deployments, predeployment personality traits or disorder, and postdeployment stressors. Perceived meaningfulness of the mission, postdeployment social supports, and positive perception of homecoming were associated with lower likelihood of distress. Conclusions: Most peacekeepers do not develop high levels of distress or symptoms of PTSD. As postdeployment distress is consistently shown to be associated with high levels of exposure to combat during deployment, targeted interventions for peacekeepers who have been exposed to high levels of combat should be considered.
The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning

Recently there has been significant interest in training machine-learning models at low precision: by reducing precision, one can reduce computation and communication by one order of magnitude. We examine training at reduced precision, both from a theoretical and practical perspective, and ask: is it possible to train models at end-to-end low precision with provable guarantees? Can this lead to consistent order-of-magnitude speedups? We present a framework called ZipML to answer these questions. For linear models, the answer is yes. We develop a simple framework based on one simple but novel strategy called double sampling. Our framework is able to execute training at low precision with no bias, guaranteeing convergence, whereas naive quantization would introduce significant bias. We validate our framework across a range of applications, and show that it enables an FPGA prototype that is up to 6.5x faster than an implementation using full 32-bit precision. We further develop a variance-optimal stochastic quantization strategy and show that it can make a significant difference in a variety of settings. When applied to linear models together with double sampling, we save up to another 1.7x in data movement compared with uniform quantization. When training deep networks with quantized models, we achieve higher accuracy than the state-of-the-art XNOR-Net. Finally, we extend our framework through approximation to non-linear models, such as SVM. We show that, although using low-precision data induces bias, we can appropriately bound and control the bias. We find in practice 8-bit precision is often sufficient to converge to the correct solution. Interestingly, however, in practice we notice that our framework does not always outperform the naive rounding approach. We discuss this negative result in detail.
Dual-addressing memory architecture for two-dimensional memory access patterns

Cache performance is an important factor in modern computing systems due to large memory access latency. To exploit the principle of spatial locality, a requested data set and its adjacent data sets are often loaded from memory to a cache block simultaneously. However, the definition of adjacent data sets is strongly correlated with the memory organization. Commodity memory is a two-dimensional structure with two (row and column) access phases to locate the requested data set. Therefore, the adjacent data sets are neighbors of the requested data set in a linear order. In this paper, we propose a novel memory organization with dual-addressing modes as well as orthogonal memory access mechanisms. Our dual-addressing memory can be efficiently applied to two-dimensional memory access patterns. Furthermore, we propose a cache coherence protocol to tackle the cache coherence issue due to synonym data set of the dual-addressing memory. For benchmark kernels with two-dimensional memory access patterns, the dual-addressing memory achieves 60% performance improvement as compared to conventional memory. Both cache hit rate and cache utilization are improved after removing two-dimensional memory access patterns from conventional memory.
Visceral Leishmaniasis Relapse in HIV Patients—A Role for Myeloid-Derived Suppressor Cells?

1Laboratory for Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium, 2Myeloid Cell Immunology Laboratory, VIB, Brussels, Belgium,3Operational Research Unit, Medical Department, Me´decins Sans Frontie`res – Operational Centre Brussels, Brussels, Belgium, 4Department of Pharmaceutical andPharmacological Sciences, Katholieke Universiteit Leuven, Leuven, Belgium, 5Faculty of Medicine, Addis Ababa University, Addis Ababa, Ethiopia, 6Department of ClinicalSciences, Institute of Tropical Medicine, Antwerp, Belgium
Multimodal Affect Modeling and Recognition for Empathic Robot Companions

Affect recognition for socially perceptive robots relies on representative data. While many of the existing affective corpora and databases contain posed and decontextualized affective expressions, affect resources for designing an affect recognition system in naturalistic human–robot interaction (HRI) must include context-rich expressions that emerge in the same scenario of the final application. In this paper, we propose a context-based approach to the collection and modeling of representative data for building an affect-sensitive robotic game companion. To illustrate our approach we present the key features of the Inter-ACT (INTEracting with Robots–Affect Context Task) corpus, an affective and contextually rich multimodal video corpus containing affective expressions of children playing chess with an iCat robot. We show how this corpus can be successfully used to train a context-sensitive affect recognition system (a valence detector) for a robotic game companion. Finally, we demonstrate how the integration of the affect recognition system in a modular platform for adaptive HRI makes the interaction with the robot more engaging.
What Makes a Hot Deal? Drivers of Deal Popularity in Online Deal Communities

Online deal communities where members can submit deals offered by firms and where they share information on discounted products are currently enjoying great popularity. However, studies on drivers of deal popularity in these communities are still scarce. Although deal popularity may be attributed to a large extent to the discount price, an extensive investigation of why some deals are voted more favorably than others is still lacking. Addressing this question by analyzing intrinsic and extrinsic deal quality signals, we advance knowledge in three ways. First, we enhance the understanding of the antecedents of human voting behavior in online deal communities building on signaling and social influence theory. Second, we improve the value of deal platforms by providing guidance on which factors determine the deal’s value to the community. Third, we provide a model to predict a minimum level of achievable deal popularity in the absence of community members’ votes.
Effects of Maternal and Fetal Characteristics on Cell-Free Fetal DNA Fraction in Maternal Plasma

Objective: To study factors that influence the concentration of cell-free fetal DNA (fetal fraction) using a large clinical data set of pregnancies with male fetus. Method: A retrospective analysis of 23 067 pregnancies that received noninvasive prenatal testing from January 2012 to October 2013, including 22 650 normal singleton pregnancies (control group) and 417 pregnancies with aneuploidy, twin pregnancy, or various maternal conditions including preexisting hypertension, preexisting diabetes, hyperthyroidism, and carrier of the surface antigen of the hepatitis B virus (HBsAg; study group). Multiples of the median (MoM) analysis was performed in the control group to derive gestation and body mass index (BMI)-corrected fetal fraction. The effects of study group conditions on fetal fraction were examined by calculating the ratio of MoM (RMoM) values. Results: Fetal fraction showed a positive correlation with gestational age (r2 = .10, P < .001) and increased rapidly after the 21 weeks of gestation (r2 = .26, P < .001). Negative association with maternal BMI was found with fetal fraction (r2 = .04, P < .001). In study group, fetal fraction was higher among pregnant women with a trisomy 21 fetus (RMoM = 1.24, P < .001) and lower among trisomy 18 (RMoM = 0.84, P < .001). A 1.6-fold incensement of fetal fraction was observed in twin fetuses comparing to singleton pregnancy (RMoM = 1.62, P < .001). Women with preexisting hypertension had significantly lower fetal fraction (RMoM = 0.85, P = .02). Preexisting diabetes, hyperthyroidism, or carrier of HBsAg did not affect fetal fraction. Conclusion: The fetal fraction was affected by fetal aneuploidy, maternal BMI, and the number of gestation. Maternal preexisting of hypertension appeared to reduce fetal fraction.
A Case Study of Induced Trips at Mixed-Use Developments

Conventional thinking suggests that pedestrian-friendly, mixed-land-use developments will contribute to an overall reduction in travel by providing an alternative to automobile travel. However, these elements may serve to increase travel demand by reducing the overall cost of travel—a phenomenon generally known as ‘induced’ travel. To date, most studies of induced travel have focused on aggregate travel patterns, without examining how development patterns may influence people's trip-making decisions. To fill a void in the empirical research, we examine the potential for induced trip making at mixed-use developments by analyzing data obtained from a survey of travelers at a typical mixed-use site in suburban Dallas, Texas, USA. Our analysis found that during both the morning and afternoon study periods, at least some percentage of internal trips at the case-study site were induced, and not ‘captured’ from the external street network as is typically assumed. Induced trips by land-use pair and travel mode are also reported. Even with the induced trips, a reduction in regional vehicle-miles traveled can still be realized at mixed-use developments sites due to the propensity for those trips to be made on foot. Induced travel also has implications for the development of traffic-impact studies for proposed mixed-use sites, which generally assume that all internal trips are replacing external trips. Planners, policy makers, politicians, and other stakeholders exploring mixed-use developments as a land-use solution to urban traffic congestion and air-quality issues are encouraged to consider the implications of induced travel in the mixed-use environment.
Molecular characterisation of pancreatic ductal adenocarcinoma in patients under 40

Background: Pancreatic ductal adenocarcinoma (PDAC) rarely affects people under 40. Objectives: To determine whether the clinical, pathomorphological and genetic features of PDAC occurring in young patients (⩽40 years) differ from those in elderly patients. Methods: Clinical and pathomorphological data were obtained from seven patients presenting with PDAC, with age ranging from 35 to 40 years of age (mean 38 years). All tumours were characterised by using immunohistochemistry and molecular genetics. Results: All seven patients were women and lacked an association to cancer-predisposing genetic syndromes. Four patients were smokers and one had non-hereditary chronic pancreatitis. Pathomorphologically, tumours in three patients displayed moderate differentiation and four showed poor differentiation including one adenosquamous carcinoma. All tumours showed overexpression of transforming growth factor β1 and loss or significant reduction of Smad4. Accumulation of p53 and overexpression of epidermal growth factor receptor (EGFR) were seen in five and four patients, respectively. No expression of p16, oestrogen hormone receptor or progesterone receptor was found. Mismatch repair gene products (MutL homologue 1 (MLH1), MSH2 and MSH6) were expressed in all tumours. Mutational analyses showed K-ras mutations in only three of the seven tumours. Conclusion: A large clinical, pathomorphological and genetic overlap of PDAC in young patients aged under 40 is seen with that in elderly patients. The existence of yet undefined initiating events of pancreatic carcinogenesis is suggested by the low rate of K-ras mutations, in at least a subgroup of young patients.