Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Frequency Electroencephalographic Activity in Left Temporal Area Is Associated with Pleasant Emotion Induced by Video Clips

Recent findings suggest that specific neural correlates for the key elements of basic emotions do exist and can be identified by neuroimaging techniques. In this paper, electroencephalogram (EEG) is used to explore the markers for video-induced emotions. The problem is approached from a classifier perspective: the features that perform best in classifying person's valence and arousal while watching video clips with audiovisual emotional content are searched from a large feature set constructed from the EEG spectral powers of single channels as well as power differences between specific channel pairs. The feature selection is carried out using a sequential forward floating search method and is done separately for the classification of valence and arousal, both derived from the emotional keyword that the subject had chosen after seeing the clips. The proposed classifier-based approach reveals a clear association between the increased high-frequency (15–32 Hz) activity in the left temporal area and the clips described as “pleasant” in the valence and “medium arousal” in the arousal scale. These clips represent the emotional keywords amusement and joy/happiness. The finding suggests the occurrence of a specific neural activation during video-induced pleasant emotion and the possibility to detect this from the left temporal area using EEG.
Dependencies: Formalising Semantic Catenae for Information Retrieval

Building machines that can understand text like humans is an AI-complete problem. A great deal of research has already gone into this, with astounding results, allowing everyday people to discuss with their telephones, or have their reading materials analysed and classified by computers. A prerequisite for processing text semantics, common to the above examples, is having some computational representation of text as an abstract object. Operations on this representation practically correspond to making semantic inferences, and by extension simulating understanding text. The complexity and granularity of semantic processing that can be realised is constrained by the mathematical and computational robustness, expressiveness, and rigour of the tools used. This dissertation contributes a series of such tools, diverse in their mathematical formulation, but common in their application to model semantic inferences when machines process text. These tools are principally expressed in nine distinct models that capture aspects of semantic dependence in highly interpretable and non-complex ways. This dissertation further reflects on present and future problems with the current research paradigm in this area, and makes recommendations on how to overcome them. The amalgamation of the body of work presented in this dissertation advances the complexity and granularity of semantic inferences that can be made automatically by machines.
Assessment of Time and Frequency Domain Entropies to Detect Sleep Apnoea in Heart Rate Variability Recordings from Men and Women

Heart rate variability (HRV) provides useful information about heart dynamics both under healthy and pathological conditions. Entropy measures have shown their utility to characterize these dynamics. In this paper, we assess the ability of spectral entropy (SE) and multiscale entropy (MsE) to characterize the sleep apnoea-hypopnea syndrome (SAHS) in HRV recordings from 188 subjects. Additionally, we evaluate eventual differences in these analyses depending on the gender. We found that the SE computed from the very low frequency band and the low frequency band showed ability to characterize SAHS regardless the gender; and that MsE features may be able to distinguish gender specificities. SE and MsE showed complementarity to detect SAHS, since several features from both analyses were automatically selected by the forward-selection backward-elimination algorithm. Finally, SAHS was modelled through logistic regression (LR) by using optimum sets of selected features. Modelling SAHS by genders reached significant higher performance than doing it in a jointly way. The highest diagnostic ability was reached by modelling SAHS in women. The LR classifier achieved 85.2% accuracy (Acc) and 0.951 area under the ROC curve (AROC). LR for men reached 77.6% Acc and 0.895 AROC, whereas LR for the whole set reached 72.3% Acc and 0.885 AROC. Our results show the usefulness of the SE and MsE analyses of HRV to detect SAHS, as well as suggest that, when using HRV, SAHS may be more accurately modelled if data are separated by gender.
Comparing Computational Models of Selectional Preferences - Second-order Co-Occurrence vs. Latent Semantic Clusters

This paper presents a comparison of three computational approaches to selectional preferences: (i) an intuitive distributional approach that uses second-order co-occurrence of predicates and complement properties; (ii) an EM-based clustering approach that models the strengths of predicate--noun relationships by latent semantic clusters (Rooth et al., 1999); and (iii) an extension of the latent semantic clusters by incorporating the MDL principle into the EM training, thus explicitly modelling the predicate--noun selectional preferences by WordNet classes (Schulte im Walde et al., 2008). Concerning the distributional approach, we were interested not only in how well the model describes selectional preferences, but moreover which second-order properties are most salient. For example, a typical direct object of the verb 'drink' is usually fluid, might be hot or cold, can be bought, might be bottled, etc. The general question we ask is: what characterises the predicate's restrictions to the semantic realisation of its complements? Our second interest lies in the actual comparison of the models: How does a very simple distributional model compare to much more complex approaches, and which representation of selectional preferences is more appropriate, using (i) second-order properties, (ii) an implicit generalisation of nouns (by clusters), or (iii) an explicit generalisation of nouns by WordNet classes within clusters? We describe various experiments on German data and two evaluations, and demonstrate that the simple distributional model outperforms the more complex cluster-based models in most cases, but does itself not always beat the powerful frequency baseline.
Portion sizes for children are predicted by parental characteristics and the amounts parents serve themselves.

BACKGROUND Children's energy intakes are influenced by the portions they are served. Factors influencing the amounts adults offer children are not well described. OBJECTIVE We assessed whether the amounts that were served to and consumed by children at meals were related to amounts that parents served themselves. DESIGN In this repeated-measures, cross-sectional observational study, 145 parents and their preschoolers (82 Hispanic, 57 African American, 6 unidentified) were recruited from Head Start settings in Houston, TX. The amounts served to and consumed by children and parents during 3 at-home evening meals were measured and analyzed. We assessed children's and parents' heights and weights, and body mass indexes (BMIs) were calculated. Associations between portions served for parents and children and between amounts served to and consumed by children were evaluated. Multiple linear regression was used to determine whether maternal characteristics (race-ethnicity, sociodemographic factors, and caregivers' BMIs) predicted the amounts caregivers served to children. RESULTS The amounts that parents served themselves were significantly associated with the amounts that they served to their children (r = 0.51, P < 0.0001). Multiple regression analysis showed that African American parents (compared with Hispanics) served more food to themselves and to their children (P < 0.01, R² = 6.9%) and that employed (compared with unemployed) parents served more food to their children (P = 0.025, R² = 3.3%). The amounts served to children were strongly associated with the amounts children consumed (r = 0.88, P < 0.0001). When parents served more to themselves, they also served more to their children (P < 0.001). CONCLUSIONS These findings underscore the strong relation between portions offered by caregivers and the amounts children consume at a meal and suggest that factors unrelated to the child (such as the amount a parent serves himself or herself) are important predictors of children's consumption. Efforts aimed at improving parents' recognition of developmentally appropriate portions for young children could be useful for future obesity-prevention efforts.
Why We Need A New Welfare State

Contributors to this volume - Frank Vandenbrucke (Belgian Minister for Social Affairs) Gosta Esping Andersen, Professor of Sociology at Universidad Pompeu Fabra, Barcelona, Spain Duncan Gallie, Nuffield Collage, University of Oxford Anton Hemerijck, Professor in Public Policy, University of Leiden and Deputy Director of the Netherlands Scientific Council for Government Policy John Myers, Professor of Sociology, University of Toronto
PGC1α induced by reactive oxygen species contributes to chemoresistance of ovarian cancer cells

Malignant cells are subjected to high levels of oxidative stress that arise from the increased production of reactive oxygen species (ROS) due to their altered metabolism. They activate antioxidant mechanisms to relieve the oxidative stress, and thereby acquire resistance to chemotherapeutic agents. In the present study, we found that PGC1α, a key molecule that both increases mitochondrial biogenesis and activates antioxidant enzymes, enhances chemoresistance in response to ROS generated by exposure of cells to ovarian sphere-forming culture conditions. Cells in the cultured spheres exhibited stem cell-like characteristics, and maintained higher ROS levels than their parent cells. Intriguingly, scavenging ROS diminished the aldehyde dehydrogenase (ALDH)-positive cell population, and inhibited proliferation of the spheres. ROS production triggered PGC1α expression, which in turn caused changes to mitochondrial biogenesis and activity within the spheres. The drug-resistant phenotype was observed in both spheres and PGC1α-overexpressing parent cells, and conversely, PGC1α knockdown sensitized the spheres to cisplatin treatment. Similarly, floating malignant cells derived from patient ascitic fluid included an ALDH-positive population and exhibited the tendency of a positive correlation between expressions of multidrug resistance protein 1 (MDR1) and PGC1α. The present study suggests that ROS-induced PGC1α mediates chemoresistance, and represents a novel therapeutic target to overcome chemoresistance in ovarian cancer.
Nonlinear QED effects in X-ray emission of pulsars

In the presence of strong magnetic fields near pulsars, the QED vacuum becomes a birefringent medium due to nonlinear QED interactions. Here, we explore the impact of the effective photon-photon interaction on the polarization evolution of photons propagating through the magnetized QED vacuum of a pulsar. We solve the quantum Boltzmann equation within the framework of the Euler-Heisenberg Lagrangian to find the evolution of the Stokes parameters. We find that linearly polarized X-ray photons propagating outward in the magnetosphere of a rotating neutron star can acquire high values for the circular polarization parameter. Meanwhile, it is shown that the polarization characteristics of photons besides photon energy depend strongly on parameters of the pulsars such as magnetic field strength, inclination angle and rotational period. Our results are clear predictions of QED vacuum polarization effects in the near vicinity of magnetic stars which can be tested with the upcoming X-ray polarimetric observations.
Network Aware Caching for Video on Demand systems

Video on Demand (VoD) services allow users to select and locally consume remotely stored content. We investigate the use of caching to solve the scalability issues of several existing VoD providers. We propose metrics and goals that define the requirements of a caching framework for CDNs of VoD systems. Using data logs collected from Motorola equipment from Comcast VoD deployments we show that several classic caching solutions do not satisfy the proposed goals. We address this issue by developing a novel technique for predicting future values of several metrics of interest. We use these predictions to evaluate the penalty imposed on the system (network and caches) when not caching individual items. We use item penalties to propose novel caching and static placement strategies. We use the mentioned data logs to validate our solutions and show that they satisfy all the defined goals.
Mechanisms Inducing Low Bone Density in Duchenne Muscular Dystrophy in Mice and Humans

Patients affected by Duchenne muscular dystrophy (DMD) and dystrophic MDX mice were investigated in this study for their bone phenotype and systemic regulators of bone turnover. Micro–computed tomographic (µCT) and histomorphometric analyses showed reduced bone mass and higher osteoclast and bone resorption parameters in MDX mice compared with wild‐type mice, whereas osteoblast parameters and mineral apposition rate were lower. In a panel of circulating pro‐osteoclastogenic cytokines evaluated in the MDX sera, interleukin 6 (IL‐6) was increased compared with wild‐type mice. Likewise, DMD patients showed low bone mineral density (BMD) Z‐scores and high bone‐resorption marker and serum IL‐6. Human primary osteoblasts from healthy donors incubated with 10% sera from DMD patients showed decreased nodule mineralization. Many osteogenic genes were downregulated in these cultures, including osterix and osteocalcin, by a mechanism blunted by an IL‐6‐neutralizing antibody. In contrast, the mRNAs of osteoclastogenic cytokines IL6, IL11, inhibin‐βA, and TGFβ2 were increased, although only IL‐6 was found to be high in the circulation. Consistently, enhancement of osteoclastogenesis was noted in cultures of circulating mononuclear precursors from DMD patients or from healthy donors cultured in the presence of DMD sera or IL‐6. Circulating IL‐6 also played a dominant role in osteoclast formation because ex vivo wild‐type calvarial bones cultured with 10% sera of MDX mice showed increase osteoclast and bone‐resorption parameters that were dampen by treatment with an IL‐6 antibody. These results point to IL‐6 as an important mediator of bone loss in DMD and suggest that targeted anti‐IL‐6 therapy may have a positive impact on the bone phenotype in these patients. © 2011 American Society for Bone and Mineral Research
Development of a Rheumatology-specific Patient Concerns Inventory and Its Use in the Rheumatology Outpatient Clinic Setting

Objective. Successful management of rheumatic conditions involves increasing complexity of care. Delivering this in a holistic way is a growing challenge. The aim of our study was to develop a Patient Concerns Inventory (PCI) and assess it in the rheumatology clinic setting. Methods. This observational exploratory study occurred with 2 phases. In phase I, the PCI was developed after a systematic literature search, expert opinion, and 3 patient focus group discussions. In phase II, the PCI was piloted in a general rheumatology clinic. Results. Fifty-four patients were assessed in the pre-PCI group and 51 in the post-PCI group. Median (IQR) duration of consultation was 8 min (5–14) without PCI and 15 min (10–20) with PCI. The pre-PCI group raised 335 concerns from 50 patients, median (IQR) of 5 (3–10) per patient, rising post-PCI to 521 concerns, median (IQR) of 9 (5–16) from 51 patients, p = 0.002. Additional concerns predominantly arose from “physical and functional well-being” and “social care and well-being” domains. Most patients rated their experience with their doctor in the consultation as excellent or outstanding across all 11 questions in the questionnaire, both before and after the introduction of the PCI to the clinic setting. Conclusion. The PCI is a useful holistic needs assessment tool for rheumatology clinics. Although its use may initially prolong the consultation slightly, patients can raise a significantly higher number of concerns, which does not occur at the expense of patient satisfaction. This may help in identifying areas of unmet needs that previously went unnoticed.
Boosting the radiation hardness and higher reestablishing pre-rad conditions by using OCTO layout style for MOSFETs

This manuscript has the objective to perform an experimental comparative analysis of the total ionizing dose influence in the Silicon-On-Insulator Metal-Oxide-Semiconductor Field Effect Transistor implemented with the octagonal gate shape (OCTO) and the standard one (rectangular gate shape) counterpart, after a X-ray radiation exposure. The back-gate bias technique is applied in these devices to reestablish the threshold voltage and subthreshold slope that were degraded by the ionizing radiation effects. Since the octagonal layout style maintains a better electrical performance after radiation, a smaller back-gate bias to recover the pre-rad operation is required in comparison to the conventional counterpart. This is mainly because the parasitic transistors in the bird's beak region are practically deactivated by the particular octagonal gate geometry.
Topical and Subconjunctival Bevacizumab for Corneal Neovascularization in an Experimental Rat Model

Aims: To evaluate and compare the inhibitory effects of topical and subconjunctival bevacizumab on corneal neovascularization in a rat model. Methods: Twenty corneas of 20 rats were chemically cauterized with silver nitrate sticks. Animals were randomized into four groups: a control group that received only topical artificial tear drops twice daily, a subconjunctival injection group that received 1.25 mg (0.05 ml) of bevacizumab on the 1st, 4th, and 7th day, and two topical bevacizumab groups that received instillation of 4 or 12.5 mg/ml bevacizumab twice daily. Digital photographs of the cornea were taken and analyzed using an image analysis software program. On the 10th day, corneas were excised and examined histologically. Results: The mean percentage of the vascularized corneal area (%) in the control group was 63.32 ± 13.10 (mean ± SD), compared with 30.22 ± 15.73 in the subconjunctival injection group, 26.76 ± 10.23 in the 4-mg/ml topical group, and 25.52 ± 12.45 in the 12.5-mg/ml group. The differences between the control and each treatment group were significant (all p < 0.01). Further, histological examination revealed that each treatment group had fewer vessels than the control group (all p < 0.01). Conclusions: Both subconjunctival injection and topical use of bevacizumab are effective and safe in controlling corneal neovascularization.
Cognitive Continuity in Primate Social Cognition

What are the mechanisms enabling primates to display their complex social skills? And in particular, what makes humans different? A common view prefigures a sharp distinction between humans as mind readers and all nonhuman primates species, confined to behavior reading. This distinction is held to be the result of a discontinuity in the evolution of social cognition. We challenge this view by positing that behavior reading and mind reading may not constitute two autonomous, encapsulated realms. Apparently different cognitive strategies may be underpinned by similar functional mechanisms, which in the course of evolution acquire increasing complexity and are exapted to sustain more sophisticated new cognitive skills. We discuss the role of mirror neurons in monkeys and humans in relation to the ascription of intentions to others as a paradigmatic case in support of our thesis of a cognitive continuity within the evolution of primate social cognition.
How to Differentiate Instruction in Mixed-Ability Classrooms

Learning profile refers to ways in which we learn best as individuals. Each of us knows some ways of learning that are quite effective for us, and others that slow us down or make learning feel awkward. Common sense, experience, and research suggest to us that when teachers can tap into routes that promote efficient and effective learning for students, results are better. The goals of learning-profile differentiation are to help individual learners understand modes of learning that work best for them, and to offer those options so that each learner finds a good learning fit in the classroom.
Effects of statewide job losses on adolescent suicide-related behaviors.

OBJECTIVES We investigated the impact of statewide job loss on adolescent suicide-related behaviors. METHODS We used 1997 to 2009 data from the Youth Risk Behavior Survey and the Bureau of Labor Statistics to estimate the effects of statewide job loss on adolescents' suicidal ideation, suicide attempts, and suicide plans. Probit regression models controlled for demographic characteristics, state of residence, and year; samples were divided according to gender and race/ethnicity. RESULTS Statewide job losses during the year preceding the survey increased girls' probability of suicidal ideation and suicide plans and non-Hispanic Black adolescents' probability of suicidal ideation, suicide plans, and suicide attempts. Job losses among 1% of a state's working-age population increased the probability of girls and Blacks reporting suicide-related behaviors by 2 to 3 percentage points. Job losses did not affect the suicide-related behaviors of boys, non-Hispanic Whites, or Hispanics. The results were robust to the inclusion of other state economic characteristics. CONCLUSIONS As are adults, adolescents are affected by economic downturns. Our findings show that statewide job loss increases adolescent girls' and non-Hispanic Blacks' suicide-related behaviors.
Cheat-Proof Playout for Centralized and Peer-to-Peer Gaming

We explore exploits possible for cheating in real-time, multiplayer games for both client-server and serverless architectures. We offer the first formalization of cheating in online games and propose an initial set of strong solutions. We propose a protocol that has provable anti-cheating guarantees, is provably safe and live, but suffers a performance penalty. We then develop an extended version of this protocol, called asynchronous synchronization, which avoids the penalty, is serverless, offers provable anti-cheating guarantees, is robust in the presence of packet loss, and provides for significantly increased communication performance. This technique is applicable to common game features as well as clustering and cell-based techniques for massively multiplayer games. Specifically, we provide a zero-knowledge proof protocol so that players are within a specific range of each other, and otherwise have no notion of their distance. Our performance claims are backed by analysis using a simulation based on real game traces