Miracle-dz/UniFAR-FTUs huggingface dataset:
Transcranial alternating current stimulation affects the BOLD signal in a frequency and task‐dependent manner

Transcranial alternating current stimulation (tACS) has emerged as a promising tool for manipulating ongoing brain oscillations. While previous studies demonstrated frequency‐specific effects of tACS on diverse cognitive functions, its effect on neural activity remains poorly understood. Here we asked how tACS modulates regional fMRI blood oxygenation level dependent (BOLD) signal as a function of frequency, current strength, and task condition. TACS was applied over the posterior cortex of healthy human subjects while the BOLD signal was measured during rest or task conditions (visual perception, passive video viewing and motor task). TACS was applied in a blockwise manner at different frequencies (10, 16, 60 and 80 Hz). The strongest tACS effects on BOLD activity were observed with stimulation at alpha (10 Hz) and beta (16 Hz) frequency bands, while effects of tACS at the gamma range were rather modest. Specifically, we found that tACS at 16 Hz induced BOLD activity increase in fronto‐parietal areas. Overall, tACS effects varied as a function of frequency and task, and were predominantly seen in regions that were not activated by the task. Also, the modulated regions were poorly predicted by current density modeling studies. Taken together, our results suggest that tACS does not necessarily exert its strongest effects in regions below the electrodes and that region specificity might be achieved with tACS due to varying susceptibility of brain regions to entrain to a given frequency. Hum Brain Mapp 37:94–121, 2016. © 2015 The Authors. Human Brain Mapping Published by Wiley Periodicals, Inc
The Match between Music Excerpts and Written Descriptions by Fifth and Sixth Graders

The purpose of this study was to examine the effect of instruction in writing about music on descriptions of music excerpts. Fifth and sixth graders received 4 days of instruction in music description focusing on metaphor and emotion, analytic music elements, and temporal language. Then, they wrote brief descriptions of six excerpts that were counterbalanced for instrumentation and style. Their descriptions were compared to those of students who did not receive instruction. There were no significant differences between children receiving and not receiving instruction within each grade level, except that the taught fifth graders mentioned significantly more musical elements than did fifth graders who did not receive instruction. There were no significant differences within grade levels in the rate at which expert readers matched descriptions to the original music excerpt, but sixth graders significantly outperformed the fifth graders. When excerpts were not correctly matched, they were usually misassigned to the excerpt with the same instrumentation, corroborating the priority of naming instruments in music description tasks.
The prisoners' dilemma and political systems: The impact of proportional representation on criminal justice in New Zealand

This is the text of the 2010 Shirley Smith Address delivered by Nicola Lacey on 8 December 2010, organised by the Wellington Women in Law Committee. The lecture offers an analysis of why New Zealand has attached itself to increasingly punitive criminal justice policies over the last 25 years, and considers in particular how far this has to do with the shape of New Zealand’s political system.
Predicting Co-Author Relationship in Medical Co-Authorship Networks

Research collaborations are encouraged because a synergistic effect yielding good results often appears. However, creating and organizing a strong research group is a difficult task. One of the greatest concerns of an individual researcher is locating potential collaborators whose expertise complement his best. In this paper, we propose a method that makes link predictions in co-authorship networks, where topological features between authors such as Adamic/Adar, Common Neighbors, Jaccard's Coefficient, Preferential Attachment, Katzβ, and PropFlow may be good indicators of their future collaborations. Firstly, these topological features were systematically extracted from the network. Then, supervised models were used to learn the best weights associated with different topological features in deciding co-author relationships. Finally, we tested our models on the co-authorship networks in the research field of Coronary Artery Disease and obtained encouraging accuracy (the precision, recall, F1 score and AUC were, respectively, 0.696, 0.677, 0.671 and 0.742 for Logistic Regression, and respectively, 0.697, 0.678, 0.671 and 0.743 for SVM). This suggests that our models could be used to build and manage strong research groups.
Fighting Back

Women's resistance strategies to rape were examined using police reports and the court testimonies of 274 women who either avoided rape or were raped by subsequently incarcerated sex offenders. The sequence of behaviors in the offender-victim interaction was analyzed to determine whether women who resist rape with physical force are, as some have suggested, exacerbating the potential for physical injury or are simply responding to the severity of the offender's physical attack. The results indicated that 85% of the women in the study who resisted with physical force did so in response to the offender's initiated violence. The remaining 15% who resisted with physical force did so in response to the offender's verbal aggression. Moreover, those women who responded with physical aggression to the offender's violent physical attack were more likely to avoid rape than were women who did not resist such force. Also, the potential for physical injury was no greater for these women than for those who used other resistance strategies or who offered no resistance. These analyses suggest that the frequently found correlation between physical resistance and injury of the woman might be the result of the initial level of the offender's violence and should not be used to discourage women from physically resisting rape.
The Dietary Repertory of the Ngandu People of the Tropical Rain Forest: An Ecological and Anthropological Study of the Subsistence Activities and Food Procurement Technology of a Slash-and-Burn Agriculturist in the Zaire River Basin

Food acquisition and consumption behavior of the Ngandu, who are a Bantu people living in the Zaire basin, is described. The utilization ofplants and animals as foods is examined from food diaries recorded over a long period of time by two infonnants. The Ngandu are multi-subsistence strategists, utilizing widely and predominantly the resources of the forest. The Ngandu are almost self-sufficent with respect to their dietary needs. The food plants consumed by the two infonnants include 24 species of cultivated plants (representing 20 genera, 16 families) and 22 spp. of wild gathered plants (22 gen., 18 fam.) plus one unidentified sp. and 10 mushrooms. The animal foods consumed include 37 spp. (24 gen., 16 fam.) of mammals, 10 spp. (9 gen., 5 fam.) ofbirds, 29 spp. (23 gen., 18 fam.) offish, 12 spp. (10 gen., 8 fam.) of reptiles and 21 spp. (11 gen., 8 fam.) of insects. The cultivation ofcassava as the basic staple food is maintained by less labor-intensive efforts which make it much easier for the Ngandu to engage in various other subsistence strategies such as hunting. They use elaborate hunting techniques which enable them to utilize a wide variety of animal foods. For this reason, they have not needed to develop symbiotic relationships with the hunter-gatherers which are found between the Mbuti and the neighboring agriculturists in Eastern Zaire. Their self-sufficiency, which has been established by a thorough utilization of the forest resources, has been of substantial importance both in the process of territorial expansion and in the stability of the forest habitation. Complicated food taboos which seem contradictory to a maximal utilization of and conservation of resources are observed, and serve as sociallyregulating factors. Although such food restrictions may be a factor contributing to the reproduction of the forest resources as is the case with the Mbuti, the existence of the agriculturalists with their diversified subsistence strategies may act as an unfavorable factor which will lead to a shortage of the forest resources.
Human Neuroscience

revealed a face-selective patch near the right inferior frontal sulcus in three out of nine human participants. Further evidence using fMRI in humans and macaque monkeys (Rajimehr et al., 2009) has also revealed a frontal face patch in the inferior frontal sulcus near the frontal eye field (FEF) across both species. Recently, researchers have proposed a " core " network for face processing that consists of mainly occipitotemporal structures, and an " extended " network including limbic and frontal structures (see Haxby et al., 2000; Avidan and Behrmann, 2009). For example , Ishai et al. (2005) assessed the response to line drawings and photographs of faces, compared to scrambled controls, and found responses in many areas including the orbitofrontal cortex and inferior frontal gyrus. While studies like these reveal face-driven responses outside the ventral stream, they do not establish the selectivity of these regions by comparison to other kinds of visual stimuli (Wiggett and Downing, 2008). Using a free-viewing task, we have previously reported a region in the human right lateral prefrontal region that elicited face-selective activation relative to 19 other object categories (Downing et al., 2006). The activation is found at the junction of the inferior frontal sulcus and the pre-central sulcus [45 9 36]. Here, we further investigate the properties of this region. Because it can be identified in most individual participants, it is amenable to a functional localizer approach as used in previous studies of extrastriate cortex (Tootell et al., 1995; Kanwisher et al., 1997; Downing et al., 2001). Throughout the rest of this paper, we refer to this region as the right inferior frontal junction (rIFJ). tional role of the prefrontal face-selective region while suggesting its functional properties are similar the face-selective cluster in the temporal visual cortex. The present study not only aims to provide further clues to the functional role of the rIFJ in face representations in human, but also to investigate whether we can functionally dissociate between the face-selective rIFJ and the face-selective
Systematization and Distribution of the Middle Cerebral Artery on the Brain Surface in Pampas Fox (Pseudalopex gymnocercus)

The present study has analysed 30 pampas fox brains (Pseudalopex gymnocercus), injected with latex, aiming to systematize and describe the distribution and vascularization territories of the middle cerebral artery. After being originated from the rostral branch of the internal carotid artery this vessel formed the following collateral branches: rostral choroidal artery, rostral and caudal central branches and cortical branches. Before crossing the lateral rhinal sulcus, the common trunk of the middle cerebral artery frequently bifurcated in a rostral and a caudal branch. In a smaller amount, the common trunk did not show any bifurcation, ramifying in arborescence. The vascular territory of the pampas fox middle cerebral artery included the lateral cerebral fossa, the lateral third of the olfactory trigone, the two rostral thirds of the piriform lobe, the lateral olfactory tract and most of the convex surface of the cerebral hemisphere, except for the more rostromedial areas of the frontal lobe bordering the endomarginal sulcus in the parietal and occipital lobes as well as the transverse fissure at the caudal pole of the cerebral hemisphere.
How to Improve Curriculum Leadership: Integrating Leadership Theory and Management Strategies

Abstract Principals play an important role in developing high quality, critical, and community-oriented curriculum leadership and renewal. Curriculum leadership is complex and challenging for new and veteran principals. The purpose of this article is to provide an approach to curriculum leadership that weaves theories of leadership together with quality management techniques. Each step in the process requires principals to think about and apply dimensions of instructional, distributed, and social justice leadership theories. These approaches to leadership and management will support the development of a school that is more conducive to positive change, a school culture that embraces collaboration, and faculty and staff who are willing to go above and beyond for their students and their diverse needs.
Projected Changes in United States Regional Extreme Heat Days Derived From Bivariate Quantile Mapping of CMIP5 Simulations

Projections of multivariate climate extremes require methodological approaches that can maintain relationships among variables. Here we apply a piecewise multivariate quantile mapping approach to temperature and humidity projections from a subset of models from the Fifth Coupled Model Intercomparison Project and analyze the resulting climatology of extreme heat days (EHDs) with explicit consideration of the prevailing humidity. The piecewise multivariate bias correction method shows good fidelity in reproducing the frequency of different types of extreme heat events in the historical period. Projections for U.S. regions and individual cities for both the middle and end of the century are characterized by increases in the frequency of EHDs, and especially those characterized by high humidity. For many regions and individual cities, there is no overlap between the frequency of high‐humidity EHDs in general circulation model ensembles from the historical and future periods, indicating that increases in extreme heat are robust. Analysis of 500‐mb height, sea‐level pressure, and low‐level circulation composites for historical and future periods indicates that the Fifth Coupled Model Intercomparison Project models reproduce basic large‐scale circulation features associated with EHDs in U.S. regions and that future changes in extreme heat are related primarily to large‐scale warming rather than enhancement of regional circulation anomalies.
Status, Legitimacy, and Ingroup Bias in the Context of an Organizational Merger

Adopting an intergroup perspective, the research was designed to examine predictors of employee responses to an organizational merger. Data were collected from 120 employees of a newly merged scientific organization. As predicted from social identity theory, the most negative responses to the merger were apparent among the employees of the low status premerger organization. There was also evidence of ingroup bias among both groups of employees involved in the merger—as expected, the bias was most marked on the status-irrelevant dimensions for the employees of the lower status organization, but most marked on the status-relevant dimensions for the employees of the high status organization. Also, in support of social identity theory, the perceived legitimacy of the basis for the status differentiation between the groups was associated with more positive responses to the merger among employees of the low status premerger organization, but with poorer responses among employees of the high status premerger organization. There was consistent evidence that the status by legitimacy interaction was mediated through the extent to which employees of the newly merged organization perceived a common ingroup identity
Influence of the Sonication Temperature on the Debundling Kinetics of Carbon Nanotubes in Propan-2-ol

The effect of sonication temperature on the debundling of carbon nanotube (CNT) macro-bundles is reported and demonstrated by analysis with different particle sizing methods. The change of bundle size over time and after several comparatively gentle sonication cycles of suspensions at various temperatures is reported. A novel technique is presented that produces a more homogeneous nanotube dispersion by lowering the temperature during sonication. We produce evidence that temperature influences the suspension stability, and that low temperatures are preferable to obtain better dispersion without increasing damage to the CNT walls.
Regulatory T Cells Orchestrate Similar Immune Evasion of Fetuses and Tumors in Mice

Embryos and tumors are both masses of dividing cells expressing foreign Ags, but they are not rejected by the immune system. We hypothesized that similar tolerogenic mechanisms prevent their rejection. Global comparison of fetal and tumor microenvironments through transcriptomics in mice revealed strikingly similar and dramatic decreases in expression of numerous immune-related pathways, including Ag presentation and T cell signaling. Unsupervised analyses highlighted the parallel kinetics and similarities of immune signature downregulation, from the very first days after tumor or embryo implantation. Besides upregulated signatures related to cell proliferation, the only significant signatures shared by the two conditions across all biological processes and all time points studied were downmodulated immune response signatures. Regulatory T cell depletion completely reverses this immune downmodulation to an immune upregulation that leads to fetal or tumor immune rejection. We propose that evolutionarily selected mechanisms that protect mammalian fetuses from immune attack are hijacked to license tumor development.
A channel coding perspective of recommendation systems

Motivated by recommendation systems, we consider the problem of estimating block constant binary matrices (of size m × n) from sparse and noisy observations. The observations are obtained from the underlying block constant matrix after unknown row and column permutations, erasures, and errors. We derive upper and lower bounds on the achievable probability of error. For fixed erasure and error probability, we show that there exists a constant C1 such that if the cluster sizes are less than C1 ln(mn), then for any algorithm the probability of error approaches one as m, n → ∞. On the other hand, we show that a simple polynomial time algorithm gives probability of error diminishing to zero provided the cluster sizes are greater than C2 ln(mn) for a suitable constant C2.
On the Capacity of Multi-Channel Wireless Networks Using Directional Antennas

The capacity of wireless ad hoc networks is affected by two key factors: the interference among concurrent transmissions and the number of simultaneous transmissions on a single interface. Recent studies found that using multiple channels can separate concurrent transmissions and greatly improve network throughput. However, those studies only consider that wireless nodes are equipped with only omnidirectional antennas, which cause high collisions. On the other hand, some researchers found that directional antennas bring more benefits such as reduced interference and increased spatial reuse compared with omnidirectional antennas. But, they only focused on a single-channel network which only allows finite concurrent transmissions. Thus, combining the two technologies of multiple channels and directional antennas together potentially brings more benefits. In this paper, we propose a multi-channel network architecture (called MC-MDA) that equips each wireless node with multiple directional antennas. We derive the capacity bounds of MC-MDA networks under arbitrary and random placements. We will show that deploying directional antennas to multi-channel networks can greatly improve the network capacity due to increased network connectivity and reduced interference. We have also found that even a multi-channel network with a single directional antenna only at each node can give a significant improvement on the throughput capacity. Besides, using multiple channels mitigates interference caused by directional antennas. MC-MDA networks integrate benefits from multi-channel and directional antennas and thus have significant performance improvement.
Feasibility of fast MR‐thermometry during cardiac radiofrequency ablation

Online MR temperature monitoring during radiofrequency (RF) ablation of cardiac arrhythmias may improve the efficacy and safety of the treatment. MR thermometry at 1.5 T using the proton resonance frequency (PRF) method was assessed in 10 healthy volunteers under normal breathing conditions, using a multi‐slice, ECG‐gated, echo planar imaging (EPI) sequence in combination with slice tracking. Temperature images were post‐processed to remove residual motion‐related artifacts. Using an MR‐compatible steerable catheter and electromagnetic noise filter, RF ablation was performed in the ventricles of two sheep in vivo. The standard deviation of the temperature evolution in time (TSD) was computed. Temperature mapping of the left ventricle was achieved at an update rate of approximately 1 Hz with a mean TSD of 3.6 ± 0.9 °C. TSD measurements at the septum showed a higher precision (2.8 ± 0.9 °C) than at the myocardial regions at the heart–lung and heart–liver interfaces (4.1 ± 0.9 °C). Temperature rose maximally by 9 °C and 16 °C during 5 W and 10 W RF applications, respectively, for 60 s each. Tissue temperature can be monitored at an update rate of approximately 1 Hz in five slices. Typical temperature changes observed during clinical RF application can be monitored with an acceptable level of precision. Copyright © 2011 John Wiley & Sons, Ltd.
Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method

Understanding the dynamics of neural networks is a major challenge in experimental neuroscience. For that purpose, a modelling of the recorded activity that reproduces the main statistics of the data is required. In the first part, we present a review on recent results dealing with spike train statistics analysis using maximum entropy models (MaxEnt). Most of these studies have focused on modelling synchronous spike patterns, leaving aside the temporal dynamics of the neural activity. However, the maximum entropy principle can be generalized to the temporal case, leading to Markovian models where memory effects and time correlations in the dynamics are properly taken into account. In the second part, we present a new method based on Monte Carlo sampling which is suited for the fitting of large-scale spatio-temporal MaxEnt models. The formalism and the tools presented here will be essential to fit MaxEnt spatio-temporal models to large neural ensembles.
Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification

This paper addresses the problem of matching pedestrians across multiple camera views, known as person re-identification. Variations in lighting conditions, environment and pose changes across camera views make re-identification a challenging problem. Previous methods address these challenges by designing specific features or by learning a distance function. We propose a hierarchical feature learning framework that learns invariant representations from labeled image pairs. A mapping is learned such that the extracted features are invariant for images belonging to same individual across views. To learn robust representations and to achieve better generalization to unseen data, the system has to be trained with a large amount of data. Critically, most of the person re-identification datasets are small. Manually augmenting the dataset by partial corruption of input data introduces additional computational burden as it requires several training epochs to converge. We propose a hierarchical network which incorporates a marginalization technique that can reap the benefits of training on large datasets without explicit augmentation. We compare our approach with several baseline algorithms as well as popular linear and non-linear metric learning algorithms and demonstrate improved performance on challenging publicly available datasets, VIPeR, CUHK01, CAVIAR4REID and iLIDS. Our approach also achieves the stateof-the-art results on these datasets.