Miracle-dz/UniFAR-FTUs huggingface dataset:
Cortical interneurons migrating on a pure substrate of N-cadherin exhibit fast synchronous centrosomal and nuclear movements and reduced ciliogenesis

The embryonic development of the cortex involves a phase of long distance migration of interneurons born in the basal telencephalon. Interneurons first migrate tangentially and then reorient their trajectories radially to enter the developing cortex. We have shown that migrating interneurons can assemble a primary cilium, which maintains the centrosome to the plasma membrane and processes signals to control interneuron trajectory (Baudoin et al., 2012). In the developing cortex, N-cadherin is expressed by migrating interneurons and by cells in their migratory pathway. N-cadherin promotes the motility and maintains the polarity of tangentially migrating interneurons (Luccardini et al., 2013). Because N-cadherin is an important factor that regulates the migration of medial ganglionic eminence (MGE) cells in vivo, we further characterized the motility and polarity of MGE cells on a substrate that only comprises this protein. MGE cells migrating on a N-cadherin substrate were seven times faster than on a laminin substrate and two times faster than on a substrate of cortical cells. A primary cilium was much less frequently observed on MGE cells migrating on N-cadherin than on laminin. Nevertheless, the mature centriole (MC) frequently docked to the plasma membrane in MGE cells migrating on N-cadherin, suggesting that plasma membrane docking is a basic feature of the centrosome in migrating MGE cells. On the N-cadherin substrate, centrosomal and nuclear movements were remarkably synchronous and the centrosome remained near the nucleus. Interestingly, MGE cells with cadherin invalidation presented centrosomal movements no longer coordinated with nuclear movements. In summary, MGE cells migrating on a pure substrate of N-cadherin show fast, coordinated nuclear and centrosomal movements, and rarely present a primary cilium.
A web-based communication system for integrated care in cerebral palsy: experienced contribution to parent-professional communication

Introduction To improve communication in the integrated care setting of children with cerebral palsy, we developed a web-based system for parent-professional and inter-professional communication. The present study aimed to evaluate parents’ experiences regarding the system’s contribution to their communication with professionals during a six-months pilot in three Dutch care regions. In addition, factors associated with parents’ system use and non-use were analyzed. Theory and methods The system’s functional specifications were based on key elements of the Chronic Care Model and quality dimensions formulated by the Institute of Medicine. At baseline, parents completed a T0-questionnaire on their experiences regarding sufficiency of contact, accessibility of professionals, timeliness of information exchange, consistency of information and parents’ role as messenger of information and/or care coordinator. After the pilot, parents completed a T1-questionnaire on their experiences regarding the system’s contribution to each of these aspects. Results Of the 30 participating parents 21 had used the system, of which 20 completed the T1-questionnaire. All these parents indicated that they had experienced a contribution of the system to parent-professional communication, especially with respect to accessibility of professionals, sufficiency of contact and timeliness of information exchange, and to a lesser extent consistency of information and parents’ messenger/coordinator role. In comparison with non-users, users had less positive baseline experiences with accessibility and a higher number of professionals in the child’s care network. Conclusions All users indicated a contribution of the system to parent-professional communication, although the extent of the experienced contribution varied considerably. Based on the differences found between users and non-users, further research might focus on the system’s value for complex care networks and problematic access to professionals.
More Than Words: Using Nursery Rhymes and Songs to Support Domains of Child Development

During her 20 years of work experience using traditional nursery rhymes (including songs) across a variety of early childhood education programs, the author has come to realize their versatility in supporting multiple domains of child development. She contextualizes specific rhymes within domains defined by the Early Development Instrument: physical health and well-being, language and cognitive development, communication skills and general knowledge, social competence, and emotional maturity. By discussing how rhymes can be practised effectively with children of different ages, she aims to highlight the developmental benefits of using them with children and to further promote their use among caregivers and practitioners.
Manipulating Bodily Presence Affects Cross-Modal Spatial Attention: A Virtual-Reality-Based ERP Study

Earlier studies have revealed cross-modal visuo-tactile interactions in endogenous spatial attention. The current research used event-related potentials (ERPs) and virtual reality (VR) to identify how the visual cues of the perceiver’s body affect visuo-tactile interaction in endogenous spatial attention and at what point in time the effect takes place. A bimodal oddball task with lateralized tactile and visual stimuli was presented in two VR conditions, one with and one without visible hands, and one VR-free control with hands in view. Participants were required to silently count one type of stimulus and ignore all other stimuli presented in irrelevant modality or location. The presence of hands was found to modulate early and late components of somatosensory and visual evoked potentials. For sensory-perceptual stages, the presence of virtual or real hands was found to amplify attention-related negativity on the somatosensory N140 and cross-modal interaction in somatosensory and visual P200. For postperceptual stages, an amplified N200 component was obtained in somatosensory and visual evoked potentials, indicating increased response inhibition in response to non-target stimuli. The effect of somatosensory, but not visual, N200 enhanced when the virtual hands were present. The findings suggest that bodily presence affects sustained cross-modal spatial attention between vision and touch and that this effect is specifically present in ERPs related to early- and late-sensory processing, as well as response inhibition, but do not affect later attention and memory-related P3 activity. Finally, the experiments provide commeasurable scenarios for the estimation of the signal and noise ratio to quantify effects related to the use of a head mounted display (HMD). However, despite valid a-priori reasons for fearing signal interference due to a HMD, we observed no significant drop in the robustness of our ERP measurements.
A Watershed Based Segmentation Method for Multispectral Chromosome Images Classification

M-FISH (multicolor fluorescence in situ hybridization) is a recently developed cytogenetic technique for cancer diagnosis and research on genetic disorders which uses 5 fluors to label uniquely each chromosome and a fluorescent DNA stain. In this paper, an automated method for chromosome classification in M-FISH images is presented. The chromosome image is initially decomposed into a set of primitive homogeneous regions through the morphological watershed transform applied to the image intensity gradient magnitude. Each segmented area is then classified using a Bayes classifier. We have evaluated our methodology on a commercial available M-FISH database. The classifier was trained and tested on non-overlapping chromosome images and an overall accuracy of 89% is achieved. By introducing feature averaging on watershed basins, the proposed technique achieves substantially better results than previous methods at a lower computational cost
Content On The Go : The Economics of the Market for Mobile Apps

The growth of mobile applications on smartphones and tablets (“apps”) ranks as one of the most astonishing technological developments in recent past. Over 700,000 apps are available for immediate download from app markets (e.g., App Store and Google Play). These marketplaces are a significant disruptive change in the way content is created and consumed. On the supply side, they provide content creators direct, instantaneous, and popular distribution systems where they can implement their own marketing and pricing policies, cutting out middlemen. Taking a combined data-driven and structural analysis approach, this paper focuses on the relationship between pricing decisions and marketplace visibility. Our aim is to empower content creators by offering strategic guidance on how to leverage the marketplaces’ flexibility. Specifically, the market platforms feature “top-ranked” charts that list apps by number of downloads. A high position in these charts is followed by a remarkable boost in demand, according to industry sources. We call the effect of top-rank position on future sales an indirect effect. First, we postulate a reduced form model to estimate the magnitude of this indirect effect. Our results show that it is statistically significant and substantial. Second, we study app pricing decisions in a model that incorporates our earlier findings. Surprisingly, we find that accounting for the indirect effect may give rise to optimal price cycles, where the seller alternates between a high price to boost revenue and a low one to enhance visibility. We find numerous evidence supporting this pricing behavior in practice. ∗Both at Management Science & Engineering, Stanford University. {bifrach, ramesh.johari}@stanford.edu. The authors thank Media X and Konica Minolta for their generous support.
Efektivitas Model Pembelajaran Kooperatif Tipe STAD Ditinjau dari Hasil Belajar IPS Siswa Kelas 4 SD

Dalam melaksanakan pembelajaran di kelas, sebagian guru masih menggunakan model pembelajaran yang bersifat konvensional. Akibatnya, siswa cenderung merasa bosan sehingga kurang dapat mengikuti pelajaran dengan baik. Oleh karena itu, hasil belajarnyapun rendah. Masalah tersebut bisa diatasi dengan menerapkan model pembelajaran yang sifatnya inovatif, salah satunya adalah model pembelajaran STAD . Namun, seberapa efektifkah model pembelajaran STAD tersebut dalam peningkatan hasil belajar jika dibandingkan dengan model konvensional, perlu diketahui melalui penelitian. Penelitian ini bertujuan untuk mengetahui efektivitas model pembelajaran STAD jika dibandingkan dengan konvensional dalam meningkatkan hasil belajar IPS siswa kelas 4 SD Negeri Duyungan 2 Sragen. Jenis penelitian ini adalah penelitian eksperimen dengan desain penelitian two group pretest posttest design . Subyek penelitiannya adalah siswa kelas 4 SD Negeri Duyungan 2 Sragen. Teknik pengumpulan data dengan tes dan observasi. Teknik analisis data menggunakan Uji-t. Hasil penelitian menunjukkan bahwa model pembelajaran STAD lebih efektif dibandingkan model konvensional dalam meningkatkan hasil belajar IPS. Hal itu dibuktikan dari data yang diperoleh bahwa t hitung>t tabel, yaitu 3,392 > 2,000.
FRanC: A Ranking Framework for the Prioritization of Software Maintenance

Software components are meant to be reusable and flexible by design. These characteristics and others continue attracting software developers to adapt a component (typically designed elsewhere) into their systems. However, software components are also believed to be most vulnerable to reliability and security problems due to the existence of non-obvious faults. In this paper, we present a framework that can help software system developers in detecting and ranking components failures systematically. Our approach can allow monitoring critical components within a software system under instrumentation and detecting failures based on specifications. Furthermore, the approach uses failure data and input from developers and rank the components accordingly. A prototype tool is designed along with a number of failure scenarios to detect specific failure types within a component of software system. We conducted an experimental evaluation to assess the effectiveness of the proposed approach and prototype tool and to measure its performance overhead. Our experimental results show that the approach can benefit system developers by prioritizing the maintenance of components with a minimal overhead.
Generating data quality rules and integration into ETL process

Many data quality projects are integrated into data warehouse projects without enough time allocated for the data quality part, which leads to a need for a quicker data quality process implementation that can be easily adopted as the first stage of data warehouse implementation. We will see that many data quality rules can be implemented in a similar way, and thus generated based on metadata tables that store information about the rules. These generated rules are then used to check data in designated tables and mark erroneous records, or to do certain updates of invalid data. We will also store information about the rules violations in order to provide analysis of such data. This could give a significant insight into our source systems. Entire data quality process will be integrated into ETL process in order to achieve load of data warehouse that is as automated, as correct and as quick as possible. Only small number of records would be left for manual inspection and reprocessing.
Non-linear chalcogenide glasses and technologies for the development of ultra-fast chip-scale optical devices

Chalcogenide glasses are novel highly non-linear materials for photonics. Modification of optical glasses by high-intensity femtosecond pulses is a novel fast developing technology based on non-linear effects. In this paper, the advantages of using the method of femtosecond modifications for the fabrication of highly non-linear 3D photonic structures in bulk chalcogenide glasses are overviewed. Design and modelling of chip-scale highly non-linear structures for all-optical signal processing are discussed.
The Revised Almost Perfect Scale

This article describes the development of the Almost Perfect Scale—Revised (APS—R). Exploratory and confirmatory factor analyses and data exploring the reliability and construct validity of the subscales are provided. The results support the existence of 3 subscales with adequate internal consistencies and promising relationships with other relevant measures.
VHDL-AMS Statistical Analysis for marginal probabilities

The impact of parameter variations on components' and systems' characteristics, especially in the area of IC design, has been discussed for several years. To investigate the influence of parameter variations on system characteristics, standard Monte Carlo simulation is often used when exact results cannot be obtained using a deterministic algorithm. However, this procedure may require a huge number of simulation runs if marginal probabilities are estimated. This paper shows how importance sampling as a variance reduction technique can be used for estimating small probabilities in simulation experiments based on the SAE J 2748 VHDL-AMS Statistical Analysis Package. Furthermore, application examples are presented to show how the use of parameter sensitivities can help creating random variable distributions for importance sampling.
Numerical investigation of early exercise in American puts with discrete dividends

It is well known that early exercise of an American put may not be optimal for some time before the asset goes ex dividend. This in turn implies that the early exercise boundary is not as smooth as for a put with a constant dividend yield. It is the purpose of this paper to illustrate that a straightforward numerical implementation of the time discrete method of lines for the Black Scholes equation can readily cope with the disappearance and reappearance of the early exercise boundary. The performance of the method is illustrated by computing option prices when dividends are paid discretely at a known rate or known amount, as well as with a constant dividend yield.
Digital Integrated Model of Government Resources under E-Government Environment

Stating the "information island" of e-government construction and so on, proposing the digitization of government resources-related issues, this paper constructs the overall model of the digitization of government resources. In the model, we gave a detailed analysis of the abstract description of the process of their resources, built a SAN-Storage Area Network strategic framework, made redundant SAN-Storage Area Networks Strategic Framework. Finally against the particularity of government resources, we built an inter - language retrieval model to achieve its efficient retrieval.
Variational Gaussian Copula Inference

We utilize copulas to constitute a unified framework for constructing and optimizing variational proposals in hierarchical Bayesian models. For models with continuous and non-Gaussian hidden variables, we propose a semiparametric and automated variational Gaussian copula approach, in which the parametric Gaussian copula family is able to preserve multivariate posterior dependence, and the nonparametric transformations based on Bernstein polynomials provide ample flexibility in characterizing the univariate marginal posteriors.
Internal Migration, Social Exclusion, and Victimization

Objectives: This article applies a multidimensional social exclusion framework to examine Chinese rural-to-urban migrant victimization. Method: Data from the 2012 China Labor Dynamics Survey is used to examine whether Chinese migrants are more likely to be victimized compared to urban residents and to what extent the prior findings on the meditating roles of social exclusion between immigration and victimization can be applied to understand Chinese migrants’ victimization. Results: Findings reveal the elevated victimization risks among nationwide rural-to-urban migrants. Logistic regression models find that social exclusion mediates the link between migrant status and victimization and that social exclusion predicts victimization. Conclusions: The discriminative institutional arrangements in China are a major force of the universal disadvantages of Chinese migrants. That is, it is not the migrant status itself, but the social exclusion suffered by individuals that increase the likelihood of being criminally victimized.
Entwicklung axonaler Dioden zur Untersuchung des gerichteten Informationsflusses in neuronalen Strukturen

The highly complex architecture of the central nervous system (CNS) is of paramount importance for the sophisticated information processing performed by the brain. Numerous functional regions are identified and arranged in different parts of the CNS and associated with individual assignments. Even though the function as well as the connectivity of the regions is known, it remains poorly understood how their function and entanglement arise. So far various factors have been identified, that are known to impact neuronal growth on various scale ranging from single cell level up to the scale of populations of neurons. Following the knowledge of these cues numerous approaches arose to reveal the role of individual factors and their combination to improve the knowledge of network development in an in vitro. The first part of this work considers neuronal growth and network formation on substrates patterned with differently shaped structures. To this end, live-cell imaging was used to compare axonal growth on homogeneous with the one on patterned cultures. Here, mainly the impact of the edge of substrate-bound protein pattern was investigated. Immunofluorescence staining were performed in order to identify the effect of differently shaped gateways between adjacent pattern on axonal and dendritic growth. These experiments reveal a high selectivity for the orientation of axonal growth by choosing appropriate parameters for the design of the junction. Dendritic growth in contrast, could not be affected to the same extend by the pattern geometry. In the second part the impact of neurite growth on functional connectivity is investigated using calcium-imaging techniques. After network maturation ensures a sufficient connectivity within and among populations, sequences of spontaneous neuronal activity were recorded. The orientation of occurring excitation of the network was validated with respect to the gateway design. For this purpose, an analysis script was developed in MATLAB, that automatically decodes the fluorescence sequences in event traces with a dynamic threshold method. As a consequence the delayed neuronal activity can be used to rate the impact of gateway design on functional connectivity. Furthermore, the causal influence between active areas within the network is calculated and evaluated providing an additional measure for functional correlations. The last part of this thesis combines the previous findings generating a system with circulat-
Empowering Non-conservative Parallelizing Refactoring by Non-monotonic Reasoning

We explore how non-monotonic reasoning can improve a recently introduced approach to parallelization based on non-conservative invasive code refactoring. As the core contribution we suggest to encode parallelization in terms of (libraries of) parallelization strategies - generic defensible sequences of typed artifacts a.k. a. parallelization recipes. We also suggest to subject these strategies to a specific form of non-monotonic reasoning. This is contrasted with previous approaches based on monotonic inferences. While contemporary parallelization seeks to decide whether a fragment of code is parallelizable our refactoring strategies aim at yielding better parallelization optimized across multiple rewrites. While contemporary parallelization reasons about code we abstract to a higher level where facts about parallelization are accumulated and used as reasoning artifacts. As a proof of concept we illustrate how the suggested generic approach helps optimize data distribution. While we build our discussion around the problem of parallelizing legacy software we also show how generic weaving (c.f. universal) can be introduced with no loss in reusability.
Scalable video streaming transmission over cooperative communication networks based on frame significance analysis

A new resource allocation algorithm based on frame significance analysis is presented in this paper for scalable video streaming transmission over cooperative communication networks. First, by introducing frame significance analysis, the video quality dependency between coding frame and its references is explored for hierarchical b-picture (HBP) structure. Second, the cooperative communication networks which can provide various channels are used to transmit the scalable video streaming. The proposed algorithm allocates the relay and sub-band to each layer based on channel conditions and the priority of layered videos. Experimental results indicate that the proposed algorithm is superior to random allocation cooperative schemes and non-cooperative schemes.