Miracle-dz/UniFAR-FTUs huggingface dataset:
Please Scroll down for Article Social Neuroscience Modulation of the Ffa and Ppa by Language Related to Faces and Places Modulation of the Ffa and Ppa by Language Related to Faces and Places

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Does sentence comprehension related to faces modulate activity in the fusiform face area (FFA) and does sentence comprehension related to places modulate activity in the parahippocampal place area (PPA)? We investigated this question in an fMRI experiment. Participants listened to sentences describing faces, places, or objects, with the latter serving as a control condition. In a separate run, we localized the FFA and PPA in each participant using a perceptual task. We observed a significant interaction between the region of interest (FFA vs. PPA) and sentence type (face vs. place). Activity in the left FFA was modulated by face sentences and in the left PPA was modulated by place sentences. Surprisingly, activation in each region of interest was reduced when listening to sentences requiring semantic analysis related to that region's domain specificity. No modulation was found in the corresponding right hemisphere ROIs. We conclude that processing sentences may involve inhibition of some visual processing areas in a content-specific manner. Furthermore, our data indicate that this semantic-based modulation is restricted to the left hemisphere. We discuss how these results may constrain neural models of embodied semantics.
Mechanism based approaches for rescuing and enhancing cognition

Progress toward pharmacological means for enhancing memory and cognition has been retarded by the widely discussed failure of behavioral studies in animals to predict human outcomes. As a result, a number of groups have targeted cognition-related neurobiological mechanisms in animal models, with the assumption that these basic processes are highly conserved across mammals. Here we survey one such approach that begins with a form of synaptic plasticity intimately related to memory encoding in animals and likely operative in humans. An initial section will describe a detailed hypothesis concerning the signaling and structural events (a “substrate map”) that convert learning associated patterns of afferent activity into extremely stable increases in fast, excitatory transmission. We next describe results suggesting that all instances of intellectual impairment so far tested in rodent models involve a common endpoint failure in the substrate map. This will be followed by a clinically plausible proposal for obviating the ultimate defect in these models. We then take up the question of whether it is reasonable to expect, from either general principles or a very limited set of experimental results, that enhancing memory will expand the cognitive capabilities of high functioning brains. The final section makes several suggestions about how to improve translation of behavioral results from animals to humans. Collectively, the material covered here points to the following: (1) enhancement, in the sense of rescue, is not an unrealistic possibility for a broad array of neuropsychiatric disorders; (2) serendipity aside, developing means for improving memory in normals will likely require integration of information about mechanisms with new behavioral testing strategies; (3) a shift in emphasis from synapses to networks is a next, logical step in the evolution of the cognition enhancement field.
Série Scientifique Scientific Series a Resource Based View of the Information Systems Sourcing Mode

CIRANO Le CIRANO est un organisme sans but lucratif constitué en vertu de la Loi des compagnies du Québec. Le financement de son infrastructure et de ses activités de recherche provient des cotisations de ses organisations-membres, d=une subvention d=infrastructure du ministère de la Recherche, de la Science et de la Technologie, de même que des subventions et mandats obtenus par ses équipes de recherche. CIRANO is a private non-profit organization incorporated under the Québec Companies Act. Its infrastructure and research activities are funded through fees paid by member organizations, an infrastructure grant from the Ministère de la Recherche, de la Science et de la Technologie, and grants and research mandates obtained by its research teams.
Nucleus accumbens stimulation in partial epilepsy—A randomized controlled case series

Neuromodulative treatment options are warranted in patients with difficult‐to‐treat epilepsy. However, acquisition of controlled data on deep brain stimulation has so far been achieved only for the centromedian and anterior thalamic nucleus. In a case series of four patients with intractable partial epilepsy, a randomized controlled cross‐over protocol was used to get insight into efficacy and safety of 3‐month nucleus accumbens stimulation. Seizure frequency, neurocognitive testing, “Liverpool Seizure Severity Score,” “Quality of Life in Epilepsy Inventory,” “Beck Depression Inventory,” and “Mini International Neuropsychiatric Interview” were obtained at every visit. In a subsequent open‐label phase, nucleus accumbens stimulation responders underwent concomitant anterior thalamic nucleus stimulation, whereas nonresponders received solely thalamic stimulation. Under nucleus accumbens stimulation, three of four patients had ≥50% reduction in frequency of disabling seizures without further improvement with additional anterior thalamic nucleus stimulation. Patient‐reported outcome and neurocognitive testing remained unchanged. Accumbens stimulation is safe and seems to be a suitable option in intractable partial epilepsy. The current findings require substantiation by an adequately powered multicenter study.
Optimization of genome editing through CRISPR-Cas9 engineering

ABSTRACT CRISPR (Clustered Regularly-Interspaced Short Palindromic Repeats)-Cas9 (CRISPR associated protein 9) has rapidly become the most promising genome editing tool with great potential to revolutionize medicine. Through guidance of a 20 nucleotide RNA (gRNA), CRISPR-Cas9 finds and cuts target protospacer DNA precisely 3 base pairs upstream of a PAM (Protospacer Adjacent Motif). The broken DNA ends are repaired by either NHEJ (Non-Homologous End Joining) resulting in small indels, or by HDR (Homology Directed Repair) for precise gene or nucleotide replacement. Theoretically, CRISPR-Cas9 could be used to modify any genomic sequences, thereby providing a simple, easy, and cost effective means of genome wide gene editing. However, the off-target activity of CRISPR-Cas9 that cuts DNA sites with imperfect matches with gRNA have been of significant concern because clinical applications require 100% accuracy. Additionally, CRISPR-Cas9 has unpredictable efficiency among different DNA target sites and the PAM requirements greatly restrict its genome editing frequency. A large number of efforts have been made to address these impeding issues, but much more is needed to fully realize the medical potential of CRISPR-Cas9. In this article, we summarize the existing problems and current advances of the CRISPR-Cas9 technology and provide perspectives for the ultimate perfection of Cas9-mediated genome editing.
Active Databases as a Paradigm for Enhanced Computing Environments

Abstract : Active databases emphasize the notion that a body of information is dynamic and should respond intelligently and in non-trivial ways to the user. It provides a paradigm for research and development which combines aspects of both databases and artificial intelligence technologies. A prototype system has shown the viability of this approach. The author focuses on the following database issues : (1) Descriptions are used as semantic templates for associatively accessing and manipulating data objects; (2) Dynamic views minimize the typical distinctions between queries and retrievals, and between views and real data, and thereby increase the perceived immediacy of the user interface; and (3) Constraint Equations are developed as a declarative representation for semantic constraints. The uniform approach they provide for expressing database integrity, consistency, and more general semantics derives its power from the rule-based framework of recent A.I. expert systems. The efficiency of constraint maintenance also is considered. Lastly, (4) The notion of binding time of data associations and reference is discussed relative to both the choice of data model and to the method of data access. (Author)
Circadian Phase Preference in Pediatric Bipolar Disorder

Pediatric bipolar disorder (BD) rates have notably increased over the past three decades. Given the significant morbidity and mortality associated with BD, efforts are needed to identify factors useful in earlier detection to help address this serious public health concern. Sleep is particularly important to consider given the sequelae of disrupted sleep on normative functioning and that sleep is included in diagnostic criteria for both Major Depressive and Manic Episodes. Here, we examine one component of sleep—i.e., circadian phase preference with the behavioral construct of morningness/eveningness (M/E). In comparing 30 BD and 45 typically developing control (TDC) participants, ages 7–17 years, on the Morningness-Eveningness Scale for Children (MESC), no between-group differences emerged. Similar results were found when comparing three groups (BD−ADHD; BD+ADHD; TDC). Consistent with data available on circadian phase preference in adults with BD, however, we found that BD adolescents, ages 13 years and older, endorsed significantly greater eveningness compared to their TDC peers. While the current findings are limited by reliance on subjective report and the high-rate of comorbid ADHD among the BD group, this finding that BD teens demonstrate an exaggerated shift towards eveningness than would be developmentally expected is important. Future studies should compare the circadian rhythms across the lifespan for individuals diagnosed with BD, as well as identify the point at which BD youth part ways with their healthy peers in terms of phase preference. In addition, given our BD sample was overall euthymic, it may be that M/E is more state vs. trait specific in latency age youth. Further work would benefit from assessing circadian functioning using a combination of rating forms and laboratory-based measures. Improved understanding of sleep in BD may identify behavioral targets for inclusion in prevention and intervention protocols.
Improving Learning-from-Crowds through Expert Validation

Although several effective learning-from-crowd methods have been developed to infer correct labels from noisy crowdsourced labels, a method for post-processed expert validation is still needed. This paper introduces a semi-supervised learning algorithm that is capable of selecting the most informative instances and maximizing the influence of expert labels. Specifically, we have developed a complete uncertainty assessment to facilitate the selection of the most informative instances. The expert labels are then propagated to similar instances via regularized Bayesian inference. Experiments on both real-world and simulated datasets indicate that given a specific accuracy goal (e.g., 95%), our method reduces expert effort from 39% to 60% compared with the state-of-the-art method.
Smart album: photo filtering by effect detections

With digital cameras and the storage device technologies are more and more mature, people can easily take large number of pictures in one time. However, some pictures have defect and would be deleted while management, e.g., blur, too dark or too bright images. Moreover, there are also two common problems when we are managing the photos. One is the orientation problem that we always need to rotate the photo if it is not upright, and the other is about duplications that sometimes we will take many shots at the same place with the same viewpoint, but we just keep only one finally. Depends on image analyzing, we make a system “Smart Album” that can automatically filter these photos: blur, abnormal exposure, orientation, and duplication. Thus, users can save lots of time from picking defect pictures up or rotating them.
The Effect of Cigarette Smoking on the Healing of Extraction Sockets: An Immunohistochemical Study

Abstract The aim of this study was to investigate immunohistochemically the influence of cigarette smoking on the socket healing after tooth extraction in rats. Eighty-four male rats were divided into 3 groups; 2 groups were considered as experimental and the other as control. The animals in test 1 were exposed to smoking regimen before the surgery and after the surgery, but the animals in test 2 were exposed to the smoking regimen only before surgery. All animals’ maxillary right central incisors were extracted and killed at the 3rd, 7th, 15th, and 28th day. The samples taken on third day after tooth extraction were stained immunohistochemically with fibronectin antibody and the other with type I collagen antibody. On the third day after tooth extraction, samples in the control group were intense stained (3) (+++); in the test 1 they were slight positive (1) (+) and in the test 2 they were moderate positive (2) (+ +). As a result of scoring type I collagen antibody, there was no statistically significant difference between the groups at seventh day, but there were statistically significant differences between the groups at the 15th and 28th day (P = 0.000 and P = 0.001, respectively). Comparison of the paired intense scores of type I collagen antibody staining according to days within each groups were not statistically significant. As a result, we have found out that the healing process of the tooth extraction socket is negatively affected by cigarette smoke.
Efficacy of NEDD8 Pathway Inhibition in Preclinical Models of Poorly Differentiated, Clinically Aggressive Colorectal Cancer.

Background The NEDD8 conjugation pathway modulates the ubiquitination and activity of a wide range of intracellular proteins, and its blockade by pevonedistat is emerging as a promising therapeutic approach in various cancer settings. However, systematic characterization of pevonedistat efficacy in specific tumor types and definition of response predictors are still missing. Methods We investigated in vitro sensitivity to pevonedistat in 122 colorectal cancer (CRC) cell lines by an ATP-based proliferation assay and evaluated apoptosis and DNA content by flow cytometry. Associations between pevonedistat sensitivity and CRC molecular features were assessed by Student's t test. A 184-gene transcriptional predictor was generated in cell lines and applied to 87 metastatic CRC samples for which patient-derived xenografts (PDXs) were available. In vivo reponse to pevonedistat was assessed in PDX models (≥5 mice per group). All statistical tests were two-sided. Results Sixteen (13.1%) cell lines displayed a marked response to pevonedistat, featuring DNA re-replication, proliferative block, and increased apoptosis. Pevonedistat sensitivity did not statistically significantly correlate with microsatellite instability or mutations in KRAS or BRAF and was functionally associated with low EGFR pathway activity. While ineffective on predicted resistant PDXs, in vivo administration of pevonedistat statistically significantly impaired growth of five out of six predicted sensitive models (P < .01). In samples from CRC patients, transcriptional prediction of pevonedistat sensitivity was associated with poor prognosis after surgery (hazard ratio [HR] = 2.49, 95% confidence interval [CI] = 1.34 to 4.62, P = .003) and early progression under cetuximab treatment (HR = 3.59, 95% CI = 1.60 to 8.04, P < .001). Histological and immunohistochemical analyses revealed that the pevonedistat sensitivity signature captures transcriptional traits of poor differentiation and high-grade mucinous adenocarcinoma. Conclusions These results highlight NEDD8-pathway inhibition by pevonedistat as a potentially effective treatment for poorly differentiated, clinically aggressive CRC.
Virtual Reality Musical Instruments: State of the Art, Design Principles, and Future Directions

The rapid development and availability of low-cost technologies have created a wide interest in virtual reality. In the field of computer music, the term “virtual musical instruments” has been used for a long time to describe software simulations, extensions of existing musical instruments, and ways to control them with new interfaces for musical expression. Virtual reality musical instruments (VRMIs) that include a simulated visual component delivered via a head-mounted display or other forms of immersive visualization have not yet received much attention. In this article, we present a field overview of VRMIs from the viewpoint of the performer. We propose nine design guidelines, describe evaluation methods, analyze case studies, and consider future challenges.
High resolution 3D chemical characterisation of a cadmium telluride solar cell by dynamic SIMS

Impurity elements such as chlorine and sulphur can have significant effects on the electrical performance of cadmium telluride (CdTe) solar cells. Here, the 3D distribution of such elements in a cadmium chloride treated CdTe device has been determined by high resolution dynamic SIMS, a novel technique that has not been applied to thin-film PV cells. It is found that as well as segregating to grain boundaries following treatment, chlorine also segregates to the CdS/CdTe interface. Conversely, sulphur shows a V-shaped diffusion profile. These results have potential implications for the processing thin-film CdTe devices.
Dynamic Clustering of Maps in Autonomous Agents

The problem of organizing and exploiting spatial knowledge for navigation is an important issue in the field of autonomous mobile systems. In particular, partitioning the environment map into connected clusters allows for significant topological features to be captured and enables decomposition of path-planning tasks through a divide-and-conquer policy. Clustering by discovery is a procedure for identifying clusters in a map being learned by exploration as the agent moves within the environment, and yields a valid clustering of the available knowledge at each exploration step. In this work, we define a fitness measure for clustering and propose two incremental heuristic algorithms to maximize it. Both algorithms determine clusters dynamically according to a set of topological and metric criteria. The first one is aimed at locally minimizing a measure of "scattering" of the entities belonging to clusters, and partially rearranges the existing clusters at each exploration step. The second estimates the positions and dimensions of clusters according to a global map of density. The two algorithms are compared in terms of optimality, efficiency, robustness, and stability.
VORTICES IN TWO-DIMENSIONAL NEMATICS ∗

We study a two-dimensional model describing spatial variations of orientational ordering in nematic liquid crystals. In particular, we show that the spatially extended Onsager- Maier-Saupe free energy may be decomposed into Landau-de Gennes-type and relative entropy-type contributions. We then prove that in the high concentration limit the states of the system display characteristic vortex-like patterns and derive an asymptotic expansion for the free energy of the system.
Learning Structured Preferences

Learning the preferences of other people is crucial for predicting future behavior. Both children and adults make inferences about others’ preferences from sparse data and in situations where the preferences have complex internal structures. We present a computational model of learning structured preferences which integrates Bayesian inference and utility-based models of preference from economics. We experimentally test this model with adult participants, and compare the model to alternative heuristic models.
Nothing to smile about

Background Several studies have demonstrated the high incidence of periodontal disorders among patients suffering from mental illnesses, probably because of self-care impairment, the difficult financial conditions, and the lack of motivation. The primary aim of this study was to evaluate the impact of depression and alexithymia on periodontal status. Due to the influence of personality traits on behavior in general, the secondary aim of our study was to investigate the possible impact of personality disorders on dental status. Methods Patients with major depression (DP) referred to our psychiatry unit and healthy individuals (controls) were consecutively enrolled during the period April 2012–September 2012. All the participants to the study underwent a psychiatric evaluation (through questionnaires investigating the presence of depression, anxiety, personality disorders, and alexithymia) and a dental examination through the following indexes: plaque index, gingival index, simplified oral hygiene index, periodontal index. Results Fifty DP (aged 56.7±15.2 years) and 40 controls (aged 56.1±15.9 years) were enrolled in the study. DP showed a worse oral hygiene status. In particular, statistically significant differences were found when comparing DP and controls in terms of plaque index, simplified oral hygiene index, gingival index, periodontal index, and oral health impact profile. In addition, periodontal health was found to be negatively related to the severity of depression and the presence of alexithymia. The strength of association between depression and dental indexes was reduced after adjusting for the other psychiatric variables (alexithymia and personality disorders) and was confirmed only for oral health impact profile. Conclusion Psychiatric variables seem to affect the patients’ periodontal status; due to the high frequency of dental problems, patients suffering from mental illnesses should be referred to the oral health services for evaluation.
Mechanism of co-nanoprecipitation of organic actives and block copolymers in a microfluidic environment

Microreactors have been shown to be a powerful tool for the production of nanoparticles (NPs); however, there is still a lack of understanding of the role that the microfluidic environment plays in directing the nanoprecipitation process. Here we investigate the mechanism of nanoprecipitation of block copolymer stabilized organic NPs using a microfluidic-based reactor in combination with computational fluid dynamics (CFD) modelling of the microfluidic implementation. The latter also accounts for the complex interplay between molecular and hydrodynamic phenomena during the nanoprecipitation process, in order to understand the hydrodynamics and its influence on the NP formation process. It is demonstrated that the competitive reactions result in the formation of two types of NPs, i.e., either with or without loading organic actives. The obtained results are interpreted by taking into consideration a new parameter representing the mismatching between the aggregations of the polymers and actives, which plays a decisive role in determining the size and polydispersity of the prepared hybrid NPs. These results expand the current understanding of the co-nanoprecipitation mechanism of active and block copolymer stabilizer, and on the role exerted by the microfluidic environment, giving information that could be translated to the emerging fields of microfluidic formation of NPs and nanomedicine.