Miracle-dz/UniFAR-FTUs huggingface dataset:
Reduced inhibitory gate in the barrel cortex of Neuroligin3R451C knock‐in mice, an animal model of autism spectrum disorders

Neuroligins are postsynaptic adhesion molecules that interacting with presynaptic neurexins ensure the cross‐talk between pre‐ and postsynaptic specializations. Rare mutations in neurexin–neuroligin genes have been linked to autism spectrum disorders (ASDs). One of these, the R451C mutation of the gene encoding for Neuroligin3 (Nlgn3), has been found in patients with familial forms of ASDs. Animals carrying this mutation (NL3R451C knock‐in mice) exhibit impaired social behaviors, reminiscent of those observed in ASD patients, associated with major alterations in both GABAergic and glutamatergic transmission, which vary among different brain regions and at different developmental stages. Here, pair recordings from parvalbumin‐ (PV) expressing basket cells and spiny neurons were used to study GABAergic synaptic signaling in layer IV barrel cortex of NL3R451C mutant mice. We found that the R451C mutation severely affects the probability of GABA release from PV‐expressing basket cells, responsible for controlling via thalamo‐cortical inputs the feed‐forward inhibition. No changes in excitatory inputs to parvalbumin‐positive basket cells or spiny neurons were detected. These data clearly show that primary targets of the NL3 mutation are PV‐expressing basket cells, independently of the brain region where they are localized. Changes in the inhibitory gate of layer IV somatosensory cortex may alter sensory processing in ASD patients leading to misleading sensory representations with difficulties to combine pieces of information into a unified perceptual whole.
RelaxFault Memory Repair

Memory system reliability is a serious concern in many systems today, and is becoming more worrisome as technology scales and system size grows. Stronger fault tolerance capability is therefore desirable, but often comes at high cost. In this paper, we propose a low-cost, fault-aware, hardware-only resilience mechanism, RelaxFault, that repairs the vast majority of memory faults using a small amount of the LLC to remap faulty memory locations. RelaxFault requires less than 100KiB of LLC capacity, has near-zero impact on performance and power. By repairing faults, RelaxFault relaxes the requirement for high fault tolerance of other mechanisms, such as ECC. A better tradeoff between resilience and overhead is made by exploiting an understanding of memory system architecture and fault characteristics. We show that RelaxFault provides better repair capability than prior work of similar cost, improves memory reliability to a greater extent, and significantly reduces the number of maintenance events and memory module replacements. We also propose a more refined memory fault model than prior work and demonstrate its importance.
Straight Line Routing on Next Hop Graph in Wireless Sensor Networks

Information processing and information routing in wireless sensor network is one of the most important key area of recent research. Building an optimal routing protocol for information routing is a tough task in dealing with the sensor nodes. Information exchange can be done with the major possible way in order to provide a secure communication and reliable data delivery, here in this study we focus on routing protocol with reliable delivery. Hence we proposed a new algorithm/protocol which optimally routes the data packets from source to destination with efficient utilization of energy resources. The proposed protocol is based on next hop graph node in terms of reliable data packet routing by framing the route in the form of graphs. The simulation results showed in the performance analysis phase denotes the proposed method outperforms the existing routing protocol in terms of reliability and robustness in efficient routing. The proposed methodology achieves the connectivity and connectivity path in WSN which is critical in WSN.
A Simple Linear Regression Method for Quantitative Trait Loci Linkage Analysis With Censored Observations

Standard quantitative trait loci (QTL) mapping techniques commonly assume that the trait is both fully observed and normally distributed. When considering survival or age-at-onset traits these assumptions are often incorrect. Methods have been developed to map QTL for survival traits; however, they are both computationally intensive and not available in standard genome analysis software packages. We propose a grouped linear regression method for the analysis of continuous survival data. Using simulation we compare this method to both the Cox and Weibull proportional hazards models and a standard linear regression method that ignores censoring. The grouped linear regression method is of equivalent power to both the Cox and Weibull proportional hazards methods and is significantly better than the standard linear regression method when censored observations are present. The method is also robust to the proportion of censored individuals and the underlying distribution of the trait. On the basis of linear regression methodology, the grouped linear regression model is computationally simple and fast and can be implemented readily in freely available statistical software.
Is the Quality of Judging in Women Artistic Gymnastics Equivalent at Major Competitions of Different Levels?

In the present study, the reliability and validity of judging at the European championship in Berlin 2011 were analysed and the results were compared to a different level gymnastic competition - Universiade 2009 in Belgrade. For reliability and consistency assessment, mean absolute judge deviation from final execution score, Cronbach’s alpha coefficient, intra-class correlations (ICC) and Armor’s theta coefficient were calculated. For validity assessment mean deviations of judges’ scores, Kendall’s coefficient of concordance W and ANOVA eta-squared values were used. For Berlin 2011 in general Cronbach’s alpha was above 0.95, minima of item-total correlations were above 0.8, and the ICC of average scores and Armor’s theta were above 0.94. Comparison with Universiade 2009 identified vault and floor scores at both competitions to have inferior reliability indices. At both competitions average deviations of judges from the final E score were close to zero (p=0.84) but Berlin 2011 competition showed a higher number of apparatuses with significant Kendall’s W (5 vs. 2 for Universiade 2009) and higher eta-squared values indicating higher judge panel bias in all-round and apparatus finals. In conclusion, the quality of judging was comparable at examined gymnastics competitions of different levels. Further work must be done to analyse the inferior results at vault and floor apparatuses.
Dengue Virus Impairs Mitochondrial Fusion by Cleaving Mitofusins

Mitochondria are highly dynamic subcellular organelles participating in many signaling pathways such as antiviral innate immunity and cell death cascades. Here we found that mitochondrial fusion was impaired in dengue virus (DENV) infected cells. Two mitofusins (MFN1 and MFN2), which mediate mitochondrial fusion and participate in the proper function of mitochondria, were cleaved by DENV protease NS2B3. By knockdown and overexpression approaches, these two MFNs showed diverse functions in DENV infection. MFN1 was required for efficient antiviral retinoic acid-inducible gene I–like receptor signaling to suppress DENV replication, while MFN2 participated in maintaining mitochondrial membrane potential (MMP) to attenuate DENV-induced cell death. Cleaving MFN1 and MFN2 by DENV protease suppressed mitochondrial fusion and deteriorated DENV-induced cytopathic effects through subverting interferon production and facilitating MMP disruption. Thus, MFNs participate in host defense against DENV infection by promoting the antiviral response and cell survival, and DENV regulates mitochondrial morphology by cleaving MFNs to manipulate the outcome of infection.
Novel Noncontact Thickness Metrology for Partially Transparent and Nontransparent Wafers for Backend Semiconductor Manufacturing

Single probe infrared low coherence optical interferometry has been proven to be an effective tool for characterization of thin and ultra-thin semiconductor Si and compound materials wafers. Its application was however limited to wafers transparent at probing wavelength, and having relatively smooth surfaces. Purpose of this paper is to present an extension of low coherence interferometry to characterization of non-transparent wafers, and wafers with rough surfaces.
Addressing non-functional properties in software architectures using ADL

Architecture definition languages (ADLs) are used to specify high-level structural details of software systems. Many ADLs have emerged recently and whilst all address structural and functional elements such as components and connectors, few can be used to specify non-functional requirements such as security or performance. This paper proposes some constructs to one such ADL, WRIGHT, for specifying non-functional requirements and assurances. The proposed ADL constructs are used in an example to demonstrate their applicability. Although the constructs are informal at this stage of the research, this will enhance the user’s ability to understand the nonfunctional requirements and assurances of the system.
A data and task parallel image processing environment for distributed memory systems

The paper presents a data and task parallel low-level image processing environment for distributed memory systems. Image processing operators are parallelized by data decomposition using algorithmic skeletons. At the application level we use task decomposition, based on the Image Application Task Graph. In this way, an image processing application can be parallelized both by data and task decomposition, and thus better speed-ups can be obtained. We validate our method on the multi-baseline stereo vision application.
iQAS: An integration platform for QoI assessment as a service for smart cities

While reducing costs and improving sustainability, a common goal for Smart Cities is to become more “liveable” for their citizens. By taking advantage of new information sources offered by the Internet of Things (IoT), cities can rely on sensing platforms to improve their service offer. These sensing platforms, however, raise new research challenges, in particular regarding Quality of Information (QoI). To cope with this issue, common platforms generally provide quality-oriented internal mechanisms. Nevertheless, the configuration of such platforms is complex, especially for Smart City stakeholders that may have various skill levels and different areas of expertise. As a result, QoI assessment is often delegated to end applications where developers have to implement their own adaptation mechanisms. This paper proposes and describes iQAS, an integration platform for QoI Assessment as a Service for Smart Cities. iQAS is autonomic, extensible and configurable, allowing Smart City stakeholders to collaboratively assess and improve (when possible) QoI in real-time. While the platform development is at its early stages, we illustrate within a concrete case study the need for QoI assessment and the benefits to implement adaptation mechanisms.
Cardiovascular Magnetic Resonance Myocardial Feature Tracking: Concepts and Clinical Applications

Heart failure–induced cardiovascular morbidity and mortality constitute a major health problem worldwide and result from diverse pathogeneses, including coronary artery disease, nonischemic cardiomyopathies, and arrhythmias. Assessment of cardiovascular performance is important for early diagnosis and accurate management of patients at risk of heart failure. During the past decade, cardiovascular magnetic resonance myocardial feature tracking has emerged as a useful tool for the quantitative evaluation of cardiovascular function. The method allows quantification of biatrial and biventricular mechanics from measures of deformation: strain, torsion, and dyssynchrony. The purpose of this article is to review the basic principles, clinical applications, accuracy, and reproducibility of cardiovascular magnetic resonance myocardial feature tracking, highlighting the prognostic implications. It will also provide an outlook on how this field might evolve in the future.
Evolution of the sensory integration frame of reference.

Patricia L. Davies, PhD, OTR, FAOTA, is Associate Professor, Colorado State University, Fort Collins. Sometimes a normal problem . resists [solving,] revealing anomalies (problems). then begins the extraordinary investigations that lead the profession at last to a new set of commitments, a new basis for the practice of science: a scientific revolution . tradition-shattering compliments to the tradition-bound activity of normal science. (Kuhn, 1970, p. 6)
Impact of stimulus uncanniness on speeded response

In the uncanny valley phenomenon, the causes of the feeling of uncanniness as well as the impact of the uncanniness on behavioral performances still remain open. The present study investigated the behavioral effects of stimulus uncanniness, particularly with respect to speeded response. Pictures of fish were used as visual stimuli. Participants engaged in direction discrimination, spatial cueing, and dot-probe tasks. The results showed that pictures rated as strongly uncanny delayed speeded response in the discrimination of the direction of the fish. In the cueing experiment, where a fish served as a task-irrelevant and unpredictable cue for a peripheral target, we again observed that the detection of a target was slowed when the cue was an uncanny fish. Conversely, the dot-probe task suggested that uncanny fish, unlike threatening stimulus, did not capture visual spatial attention. These results suggested that stimulus uncanniness resulted in the delayed response, and importantly this modulation was not mediated by the feelings of threat.
Interactive Exploration of Asynchronous Conversations: Applying a User-centered Approach to Design a Visual Text Analytic System

Exploring an online conversation can be very difficult for a user, especially when it becomes a long complex thread. We follow a human-centered design approach to tightly integrate text mining methods with interactive visualization techniques to support the users in fulfilling their information needs. The resulting visual text analytic system provides multifaceted exploration of asynchronous conversations. We discuss a number of open challenges and possible directions for further improvement including the integration of interactive human feedback in the text mining loop, applying more advanced text analysis methods with visualization techniques, and evaluating the system with real users.
15-Month Impacts of Oklahoma ’ s Family Expectations Program August 2010

Family Expectations is one of eight program sites participating in the Building Strong Families (BSF) evaluation. BSF is being conducted by Mathematica Policy Research and its partners under contract to the Any views expressed in this report are those of the authors and do not necessarily reflect the views of the reviewers, Public Strategies, or the Administration for Children and Families.
Using artificial neural network techniques to predict volume removal rate of ultrahigh pressure water jet cutting

Abstract As a potential machining tool, water jet cutting has considerable advantages over traditional techniques. These advantages include its particular ability to cut special shapes, and to cut hard materials that are problematic to machine, such as foam and composites. However, the water jet cutting process is sometimes a combination of water flow and the flow of abrasives, and these two processes have particular properties. When they operate together, the combined two phase flow becomes difficult to predict. Thus it is more difficult to establish an appropriate model for the water jet cutting process compared with cutting using traditional tools. Several models have been established to model cutting by abrasive–water jets. However, there are still several problems associated with the existing models. In the present paper, the search for a sufficiently accurate and reliable water jet cutting model is continued. A model of the cutting rate of an ultrahigh pressure water jet has been investigated. An artificial neural network system is established to correlate the volume removal rate with the cutting parameters. The results are compared with experimental data and an existing model. Finally, several conclusions are drawn.
Reconstructing the Quantity Theory (I)

Part (I) and (II) of this paper reconstruct the quantity theory from structural axiomatic foundations. This yields a coherent view of the interrelations of quantity of money, transaction money, saving–dissaving, liquidity–illiquidity, rates of interest, leverage, allocation, prices, profits, unit of account, and employment. Part (II) focuses on the symmetric and asymmetric process of nominal and real saving–dissaving and on the monetization of nonfinancial assets. The distinction between liquidity preferences of individual households and the household sector as a whole proves to be crucial.
Unsupervised Syntax Learning with Categorial Grammars using Inference Rules

We propose a learning method with categorial grammars using inference rules. The proposed learning method has been tested on an artificial language fragment that contains both ambiguity and recursion. We demonstrate that our learner has successfully converged to the target grammar using a relatively small set of initial assumptions. We also show that our method is successful at one of the celebrated problems of language acquisition literature: learning the English auxiliary order.
In vitro free radical scavenging and antioxidant properties of ethanol extract of Terminalia glaucescens

Background: Reactive oxygen species (ROS) are implicated in various pathological conditions. Synthetic antioxidants have adverse health effects, while many medicinal plants have antioxidant components that can prevent the harmful effects of ROS. Objectives: This study quantitatively determined the total phenolic content (TPC), total flavonoid content (TFC), and antioxidant properties of ethanol extract of the stem bark of Terminalia glaucescens (EESTG). Materials and Methods: The objectives were achieved based on in vitro assays. Data were analyzed by Sigma Plot (version 11.0). Results: Using gallic acid as the standard compound, TPC value obtained was 596.57 μg GAE/mg extract. TFC content of EESTG, determined as quercetin equivalent was 129.58 μg QE/mg extract. Furthermore, EESTG significantly (P < 0.001) displayed higher reducing power activity than the standard compounds (ascorbic acid and butylated hydroxytoluene [BHT]). Total antioxidant capacity assay, measured by phosphomolybdate method, was 358.33 ± 5.77 μg butylated hydroxytoluene equivalents [BHTE]/mg extract. β-carotene-linoleate bleaching method affirmed the potency of EESTG because of its significantly (P < 0.001) higher anti-oxidant activity when compared with quercetin and BHT. Based on DPPH assay, EESTG displayed significantly (P < 0.001) higher activity than BHT, while the hydroxyl radical scavenging activities of BHT and quercetin significantly (P < 0.001) exceeded that of the extract, although EESTG still displayed a high level of activity obtained as 83.77% in comparison to 92.80% of the standard compounds. Conclusion: Findings from this study indicate the presence of promisingly potent phytoconstituents in EESTG that have the capability to act as antioxidants and free radical scavengers.
Effect of halloysite nanotubes on thermal and flame retardant properties of polyamide 6/melamine cyanurate composites

In this study, polyamide 6 (PA6) with various contents of halloysite nanotubes (HNTs) and melamine cyanurate (MCA) were prepared by a twin-screw extruder. The flame retardant and physical properties of PA6 composites were examined. X-ray diffraction (XRD) patterns of PA6/HNTs and PA6/MCA/HNTs composites showed that HNTs as a nanoscale material dispersed in PA6 whether with MCA or not. Thermo gravimetric analyzer (TGA) results showed the presence of HNTs can improve thermal stability of PA6 and PA6/MCA composites. The incorporation of HNTs seemed to result the increase of crystallinity of PA6 and PA6/MCA composites from the differential scanning calorimetry (DSC) results. The combined of HNTs and MCA that leads to further improvements limiting oxygen index (LOI) value of PA6 to 31.7% exerted a positive effect on flame retardancy of PA6. What's more, some mechanical enhancements of PA6 with adding of HNTs were achieved and HNTs also made the tensile properties of PA6/MCA composites improved. POLYM. COMPOS. , 36:892–896, 2015. © 2014 Society of Plastics Engineers
Service retrieval based on hybrid SLVM of WSDL

Two practicable approaches were proposed for Web service retrieval, bipartite-graph matching and KbSM. But their models and similarity metrics of WSDL analysis may ignore some term or semantic feature, and involve formal method problem of representation or difficulty of parameter verification. SLVM and its improved model depend on statistical term measures to implement XML document representation. As a result, they ignore the lexical semantics and the distilled mutual information, leading to text analysis errors. This work proposed a service retrieval method, hybrid SLVM of WSDL, to address the problem of feature extraction. Using WordNet, this method constructed a lexical semantic spectrum to characterize the lexical semantics, and built a special term spectrum based on TF-IDF. Then, feature matrix for WSDL representation was built in the hybrid SLVM. Applying to NWKNN algorithm, on OWLS-TC version 2 dataset, the experimental results show that the feature matrix of our method performs F1 measure and query precisions better than bipartite-graph matching and KbSM.
The Knapsack Problem With Gaussian Weights ?

The main difficulty in two-stage stochastic programming with real recourse is the number of scenarios to consider, resulting in a huge number of variables and constraints. In this work, we overcome this difficulty for the knapsack problem with penalty recourse by considering mainly Gaussian random variables. Using their summa-tion property, we can simplify the problem and avoid performing multiple integrations for evaluating the objective. Then, complexity results are given for two stochastic versions of the subset sum problem, and for the general problem with constant weights and capacity uniformly distributed. Finally, computational experiments for Gaussian weights prove this approach to be efficient. project of the Communautée française de Belgique. Michael Poss is a research fellow of the Fonds pour la Formationà la Recherche dans l'Industrie et dans l'Agriculture (FRIA).