Miracle-dz/UniFAR-FTUs huggingface dataset:
Are there benefits of social overinclusion? Behavioral and ERP effects in the Cyberball paradigm

Social participation can be examined using the Cyberball paradigm, a virtual ball-tossing game. Reducing the involvement of the participant is supposed to activate a neural alarm system, and to threaten fundamental social needs. Our previous findings indicate that the latter process can be linked to an enhancement of the centro-parietal P3 amplitude, signaling a modulation of the subjective expectancy of involvement. A preceding more frontal ERP component, the P2, does not depend of the probability of involvement, but reflects the appraisal of social reward. In this experiment, we examined whether overinclusion of participants enhances the satisfaction of social needs, reduces the P3 amplitude correspondingly, and affects central reward processing. In the control condition, participants (n = 40) were included (two co-player, ball possession 33%), and overincluded (ball possession 46%) in the experimental condition. In a counterbalanced design, we also controlled for the order of conditions. As predicted, overinclusion increased the satisfaction of social needs, with exception of “self esteem”, and reduced the P3 amplitude. As for the frontal P2, overinclusion only enhanced the amplitudes if the less frequent involvement (condition: inclusion) was experienced previously. The behavioral and P3 data suggest that the feelings of social belonging, meaningful existence, and control are related to the subjective expectancy of social involvement, and can be described in terms of a linear continuum ranging from exclusion to overinclusion. In contrast, appraisal of social rewards does not depend on the probability of involvement.
Vanishing theorems for real algebraic cycles

We establish the analogue of the Friedlander-Mazur conjecture for Teh's reduced Lawson homology groups of real varieties, which says that the reduced Lawson homology of a real quasi-projective variety $X$ vanishes in homological degrees larger than the dimension of $X$ in all weights. As an application we obtain a vanishing of homotopy groups of the mod-$2$ topological groups of averaged cycles and a characterization in a range of indices of dos Santos' real Lawson homology as the homotopy groups of the topological group of averaged cycles. We also establish an equivariant Poincare duality between equivariant Friedlander-Walker real morphic cohomology and dos Santos' real Lawson homology. We use this together with an equivariant extension of the mod-$2$ Beilinson-Lichtenbaum conjecture to compute some real Lawson homology groups in terms of Bredon cohomology.
A discriminative framework for clustering via similarity functions

Problems of clustering data from pairwise similarity information are ubiquitous in Computer Science. Theoretical treatments typically view the similarity information as ground-truth and then design algorithms to (approximately) optimize various graph-based objective functions. However, in most applications, this similarity information is merely based on some heuristic; the ground truth is really the unknown correct clustering of the data points and the real goal is to achieve low error on the data. In this work, we develop a theoretical approach to clustering from this perspective. In particular, motivated by recent work in learning theory that asks "what natural properties of a similarity (or kernel) function are sufficient to be able to learn well? " we ask "what natural properties of a similarity function are sufficient to be able to cluster well? " To study this question we develop a theoretical framework that can be viewed as an analog of the PAC learning model for clustering, where the object of study, rather than being a concept class, is a class of (concept, similarity function) pairs, or equivalently, a property the similarity function should satisfy with respect to the ground truth clustering. We then analyze both algorithmic and information theoretic issues in our model. While quite strong properties are needed if the goal is to produce a single approximately-correct clustering, we find that a number of reasonable properties are sufficient under two natural relaxations: (a) list clustering: analogous to the notion of list-decoding, the algorithm can produce a small list of clusterings (which a user can select from) and (b) hierarchical clustering: the algorithm's goal is to produce a hierarchy such that desired clustering is some pruning of this tree (which a user could navigate). We develop a notion of the clustering complexity of a given property (analogous to notions of capacity in learning theory), that characterizes its information-theoretic usefulness for clustering. We analyze this quantity for several natural game-theoretic and learning-theoretic properties, as well as design new efficient algorithms that are able to take advantage of them. Our algorithms for hierarchical clustering combine recent learning-theoretic approaches with linkage-style methods. We also show how our algorithms can be extended to the inductive case, i.e., by using just a constant-sized sample, as in property testing. The analysis here uses regularity-type results of [FK] and [AFKK].
Identification of Wiener Models Using Support Vector Machine

The least squares support vector machines (LS-SVM) regression is presented for the purpose of nonlinear dynamic system identification. LS-SVM are used for system identification of Wiener models with memoryless nonlinear blocks and linear dynamical blocks. LS-SVM achieves higher generalization performance. The identification procedure is illustrated using two simulated examples. The results indicate that this approach is effective.
Effect of calcium chloride infusion on the tenderness of lambs fed a beta-adrenergic agonist.

The objective of this study was to examine the effectiveness of CaCl2 infusion in overcoming the toughness of meat associated with dietary administration of a beta- adrenergic agonist (BAA) to lambs. Thirty-two crossbred (1/2 Finnsheep X 1/4 Dorset X 1/4 Rambouillet) wether lambs were randomly assigned to receive 0 or 4 ppm BAA (L644,969; Merck, Sharpe and Dohme Research Laboratories) in a completely mixed, high-concentrate diet for 6 wk. Animals were slaughtered in two groups of 16. At each slaughter time half of each group (0 or 4 ppm BAA) was randomly assigned to CaCl2 infusion. Feeding the BAA decreased (P less than .05) fat thickness, kidney-pelvic fat, yield grade, and marbling and increased (P less than .05) dressing percentage, lean firmness, leg score, and biceps femoris weight. Weight of biceps femoris was 32.8% greater in BAA-fed lambs. Treated, but not infused, lambs were significantly less tender than control lambs after 1, 7, and 14 d of postmortem storage. At 24 h postmortem, BAA-fed lambs had higher (P less than .05) cathepsin B, calcium-dependent protease-II (CDP-II), and CDP inhibitor activities. Calcium chloride infusion increased marbling, decreased lean firmness, increased lean color score, and increased dressing percentage (P less than .05). Infusion of carcasses with CaCl2 decreased (P less than .05) shear force at all postmortem times. Infusion of carcasses with CaCl2 had no effect on cathepsins B and B + L activities, but it had a significant effect on CDP-I, CDP-II, and CDP inhibitor activities. (ABSTRACT TRUNCATED AT 250 WORDS)
On the liftability of expanding stationary measures

We consider random perturbations of a topologically transitive local diffeomorphism of a Riemannian manifold. We show that if an absolutely continuous ergodic stationary measures is expanding (all Lyapunov exponents positive), then there is a random Gibbs–Markov–Young structure which can be used to lift that measure. We also prove that if the original map admits a finite number of expanding invariant measures then the stationary measures of a sufficiently small stochastic perturbation are expanding.
Representing local binary descriptors with BossaNova for visual recognition

Binary descriptors have recently become very popular in visual recognition tasks. This popularity is largely due to their low complexity and for presenting similar performances when compared to non binary descriptors, like SIFT. In literature, many researchers have applied binary descriptors in conjunction with mid-level representations (e.g., Bag-of-Words). However, despite these works have demonstrated promising results, their main problems are due to use of a simple mid-level representation and the use of binary descriptors in which rotation and scale invariance are missing. In order to address those problems, we propose to evaluate state-of-the-art binary descriptors, namely BRIEF, ORB, BRISK and FREAK, in a recent mid-level representation, namely BossaNova, which enriches the Bag-of-Words model, while preserving the binary descriptor information. Our experiments carried out in the challenging PASCAL VOC 2007 dataset revealed outstanding performances. Also, our approach shows good results in the challenging real-world application of pornography detection.
Selection for contrasting seed tocopherol content in sunflower seeds

SUMMARY Sunflower oil, with more than 0·9 of tocopherols in the alpha-tocopherol form, supplies more vitamin E than any other vegetable oil. Thus far, no breeding to increase vitamin E levels in sunflower seeds has been conducted. The objective of the present research was to develop sunflower lines with high and low total seed tocopherol content through evaluation and subsequent selection of a large germplasm collection (952 sunflower entries). A range of variation from 119 to 491 mg/kg was found. Selection conducted from S1 to S4 plant generations allowed the isolation of line IAST-413, with an increased tocopherol content of 467 mg/kg compared to 251 mg/kg in the control line HA89, and line IAST-522, with a reduced tocopherol content of 73 mg/kg. Another accession with potentially high tocopherol content, but completely self-incompatible, was crossed to the line HA89 followed by plant-to-row selection up to the F5 plant generation; it averaged 463 mg/kg compared to 240 mg/kg in HA89. Two field experiments carried out at Córdoba in southern Spain in 2006 and 2007 with different sowing dates confirmed that the increased tocopherol content in the selected lines was consistently expressed across environments.
Cell-type specific modulation of neocortical UP and DOWN states

Keywords: neocortex ; oscillations ; acetylcholine ; UP and DOWN states ; layer 5 pyramidal neurons ; intrinsic burst firing ; carbachol ; Ca2+ concentration Reference EPFL-ARTICLE-214144doi:10.3389/fncel.2015. 00370View record in Web of Science Record created on 2015-12-02, modified on 2016-08-09
In–Depth Characterization of Viral Isolates from Plasma and Cells Compared with Plasma Circulating Quasispecies in Early HIV-1 Infection

Background The use of in vitro models to unravel the phenotypic characteristics of circulating viral variants is key to understanding HIV-1 pathogenesis but limited by the availability of primary viral isolates from biological samples. However, overall in vivo genetic variability of HIV-1 within a subject may not be reflected in the viable viral population obtained after isolation. Although several studies have tried to determine whether viral populations expanded in vitro are representative of in vivo findings, the answer remains unclear due to the reduced number of clonal sequences analyzed or samples compared. In order to overcome previous experimental limitations, here we applied Deep Pyrosequencing (DPS) technology in combination with phenotypic experiments to analyze and compare with unprecedented detail the composition of viral isolates and in vivo quasispecies. Methodology/Principal Findings We amplified by DPS HIV-1 genomic regions covering gag, protease, integrase and env-V3 to characterize paired isolates from plasma and peripheral blood mononuclear cells and compare them with total plasma viral RNA in four recently HIV-1 infected subjects. Our study demonstrated the presence of unique haplotypes scattered between sample types with conservation of major variants. In addition, no differences in intra- and inter-population encoded protein variability were found between the different types of isolates or when these were compared to plasma viral RNA within subjects. Additionally, in vitro experiments demonstrated phenotypic similarities in terms of replicative capacity and co-receptor usage between viral isolates and plasma viral RNA. Conclusion This study is the first in-depth comparison and characterization of viral isolates from different sources and plasma circulating quasispecies using DPS in recently HIV-1 infected subjects. Our data supports the use of primary isolates regardless of their plasma or cellular origin to define genetic variability and biological traits of circulating HIV-1 quasispecies.
Surprising Effectiveness of Few-Image Unsupervised Feature Learning

State-of-the-art methods for unsupervised representation learning can train well the ﬁrst few layers of standard convolutional neural networks, but they are not as good as supervised learning for deeper layers. This is likely due to the generic and relatively simple nature of shallow layers; and yet, these approaches are applied to millions of images, scalability being advertised as their major advantage since unlabelled data is cheap to collect. In this paper we question this practice and ask whether so many images are actually needed to learn the layers for which unsupervised learning works best. Our main result is that a few or even a single image together with strong data augmentation are sufﬁcient to nearly saturate performance. Speciﬁcally, we provide an analysis for three different self-supervised feature learning methods (BiGAN, RotNet, DeepCluster) vs number of training images (1, 10, 1000) and show that we can top the accuracy for the ﬁrst two convolutional layers of common networks using just a single unlabelled training image and obtain competitive results for other layers. We further study and visualize the learned representation as a function of which (single) image is used for training. Our results are also suggestive of which type of information may be captured by shallow layers in deep networks.
The Impacts of Telecommuting on Organizations and Individuals: A Review of the Literature

Based on a literature review, this paper identifies the positive and negative impacts of telecommuting on both the organizations and employees. Some recommendations concerning the management of telecommuting in organization are provided. In addition, the paper reviews the existing literature to identify factors leading to successful telecommuting programs, especially with regards to choosing the appropriate jobs and employees and changing managers' preconceived attitudes and traditional behaviors. Furthermore, this paper lists several essential steps that organizations should follow when implementing a telecommuting program.
How an actin network might cause fountain streaming and nuclear migration in the syncytial Drosophila embryo [published erratum appears in J Cell Biol 1995 Sep;130(5):1231-4]

We show here using time-lapse video tapes that cytoplasmic streaming causes nuclear migration along the anterior-posterior axis (axial expansion) in the early syncytial embryo of Drosophila melanogaster. Using confocal microscopy and labeled phalloidin we explore the distribution of F-actin during axial expansion. We find that a network of F-actin fibers fills the cytoplasm in the embryo. This actin network partially disassembles around the nuclei during axial expansion. Our observations of normal development, fixed embryos, and drug injection experiments indicate that disassembly of the actin network generates cytoplasmic movements. We suggest that the cell cycle regulates disassembly of the actin network, and that this process may be mediated directly or indirectly by the microtubules. The cytoplasmic movements we observe during axial expansion are very similar to fountain streaming in the pseudopod of amoebae, and by analogy with the pseudopod we propose a working hypothesis for axial expansion based on solation-contraction coupling within the actin network.
Estimation of Two-Dimensional Frequencies Using Modified Matrix Pencil Method

The problem of multiple two-dimensional (2-D) sinusoidal frequency estimation is considered. A modified matrix pencil method is proposed to simultaneously estimate the frequency pairs in the signal, thereby bypassing the computationally expensive pairing operation as seen in the literature. Simulation results show that the accuracy of the estimates for each frequency from our technique is better than or comparable to that of existing methods and the variance of the estimates are close to the Crameacuter-Rao bound. Simulation results also show that our method provides accurate and consistent frequency estimation results that other methods cannot provide with less or comparable computational complexity
Representations of recent and remote autobiographical memories in hippocampal subfields

The hippocampus has long been implicated in supporting autobiographical memories, but little is known about how they are instantiated in hippocampal subfields. Using high‐resolution functional magnetic resonance imaging (fMRI) combined with multivoxel pattern analysis we found that it was possible to detect representations of specific autobiographical memories in individual hippocampal subfields. Moreover, while subfields in the anterior hippocampus contained information about both recent (2 weeks old) and remote (10 years old) autobiographical memories, posterior CA3 and DG only contained information about the remote memories. Thus, the hippocampal subfields are differentially involved in the representation of recent and remote autobiographical memories during vivid recall. © 2013 The Authors. Hippocampus Published by Wiley Periodicals, Inc.
In Vitro Model of Vascularized Bone: Synergizing Vascular Development and Osteogenesis

Tissue engineering provides unique opportunities for regenerating diseased or damaged tissues using cells obtained from tissue biopsies. Tissue engineered grafts can also be used as high fidelity models to probe cellular and molecular interactions underlying developmental processes. In this study, we co-cultured human umbilical vein endothelial cells (HUVECs) and human mesenchymal stem cells (MSCs) under various environmental conditions to elicit synergistic interactions leading to the colocalized development of capillary-like and bone-like tissues. Cells were encapsulated at the 1∶1 ratio in fibrin gel to screen compositions of endothelial growth medium (EGM) and osteogenic medium (OM). It was determined that, to form both tissues, co-cultures should first be supplied with EGM followed by a 1∶1 cocktail of the two media types containing bone morphogenetic protein-2. Subsequent studies of HUVECs and MSCs cultured in decellularized, trabecular bone scaffolds for 6 weeks assessed the effects on tissue construct of both temporal variations in growth-factor availability and addition of fresh cells. The resulting grafts were implanted subcutaneously into nude mice to determine the phenotype stability and functionality of engineered vessels. Two important findings resulted from these studies: (i) vascular development needs to be induced prior to osteogenesis, and (ii) the addition of additional hMSCs at the osteogenic induction stage improves both tissue outcomes, as shown by increased bone volume fraction, osteoid deposition, close proximity of bone proteins to vascular networks, and anastomosis of vascular networks with the host vasculature. Interestingly, these observations compare well with what has been described for native development. We propose that our cultivation system can mimic various aspects of endothelial cell – osteogenic precursor interactions in vivo, and could find utility as a model for studies of heterotypic cellular interactions that couple blood vessel formation with osteogenesis.
English Broadcast News Speech Recognition by Humans and Machines

With recent advances in deep learning, considerable attention has been given to achieving automatic speech recognition performance close to human performance on tasks like conversational telephone speech (CTS) recognition. In this paper we evaluate the usefulness of these proposed techniques on broadcast news (BN), a similar challenging task. We also perform a set of recognition measurements to understand how close the achieved automatic speech recognition results are to human performance on this task. On two publicly available BN test sets, DEV04F and RT04, our speech recognition system using LSTM and residual network based acoustic models with a combination of n-gram and neural network language models performs at 6.5% and 5.9% word error rate. By achieving new performance milestones on these test sets, our experiments show that techniques developed on other related tasks, like CTS, can be transferred to achieve similar performance. In contrast, the best measured human recognition performance on these test sets is much lower, at 3.6% and 2.8% respectively, indicating that there is still room for new techniques and improvements in this space, to reach human performance levels.
Transcriptional profiling of subjects from the Iowa adoption studies

Transcriptional profiling has been used to identify gene expression patterns indicative of general medical illnesses such as atherosclerosis. However, whether these methods can identify common psychiatric disorders has not been established. To answer this question with respect to nicotine use, we used genome‐wide expression profiling lymphoblast cell lines from six actively smoking Iowa Adoption Studies (IAS) subjects and nine “clean” control subjects, followed by real‐time PCR (RT‐PCR) of gene expression patterns in lymphoblast derived RNA from 94 subjects in the IAS. As compared to those from controls without a history of smoking (n = 9), the expression levels of 579 of 29,098 genes were significantly up‐regulated and expression levels of 584 of 29,098 genes were significantly down‐regulated in lymphoblast lines from currently smoking subjects (n = 6). RT‐PCR confirmation of four select RNA levels confirmed the validity of the overall profile and revealed highly significant relationships between the expression of some of these transcripts and (1) major depression, (2) antisocial personality, (3) nicotine dependence, and (4) cannabis dependence. We conclude that the use of expression profiling may contribute significant insights into the biology of complex behavioral disorders. © 2007 Wiley‐Liss, Inc.
Susan H. McFadden and John T. McFadden. Aging Together: Dementia, Friendship & Flourishing Communities . Baltimore, MD: Johns Hopkins University Press, 2011

483 While completing my doctoral studies, I enrolled in a seminar course intriguingly titled “Evidence-Based Spirituality”. I was interested in person-centered care philosophies and, in particular, Martin Buber’s notion of the “I-Thou” relationship as applied to spiritual care of older people living with Alzheimer’s disease. This intriguing book by Susan H. McFadden and John T. McFadden would have been helpful to me in that course as I considered the impact of dementia on the spiritual dimension of what it means to be human.
Activity in motor areas while remembering action events

Episodic memory for simple commands is better following enacted than verbal encoding. This has been proposed to be due to the possibility to base retrieval on motor information. Here we used PET to test the hypothesis that motor brain areas show increased retrieval-related activity following enacted compared to verbal encoding. Brain activity was also monitored during retrieval after imaginary enactment during encoding. It was found that activity in the right motor cortex was maximal following encoding enactment, intermediate following imaginary encoding enactment, and lowest following verbal encoding. These findings provide support that one basis for the facilitating effect on memory performance of overt, and to a lesser degree covert, encoding enactment is the possibility to base retrieval on motor information.