Miracle-dz/UniFAR-FTUs huggingface dataset:
Photoreceptor Degeneration in Two Mouse Models for Congenital Stationary Night Blindness Type 2

Light-dependent conductance changes of voltage-gated Cav1.4 channels regulate neurotransmitter release at photoreceptor ribbon synapses. Mutations in the human CACNA1F gene encoding the α1F subunit of Cav1.4 channels cause an incomplete form of X-linked congenital stationary night blindness (CSNB2). Many CACNA1F mutations are loss-of-function mutations resulting in non-functional Cav1.4 channels, but some mutations alter the channels’ gating properties and, presumably, disturb Ca2+ influx at photoreceptor ribbon synapses. Notably, a CACNA1F mutation (I745T) was identified in a family with an uncommonly severe CSNB2-like phenotype, and, when expressed in a heterologous system, the mutation was shown to shift the voltage-dependence of channel activation, representing a gain-of-function. To gain insight into the pathomechanism that could explain the severity of this disorder, we generated a mouse model with the corresponding mutation in the murine Cacna1f gene (I756T) and compared it with a mouse model carrying a loss-of-function mutation (ΔEx14–17) in a longitudinal study up to eight months of age. In ΔEx14–17 mutants, the b-wave in the electroretinogram was absent, photoreceptor ribbon synapses were abnormal, and Ca2+ responses to depolarization of photoreceptor terminals were undetectable. In contrast, I756T mutants had a reduced scotopic b-wave, some intact rod ribbon synapses, and a strong, though abnormal, Ca2+ response to depolarization. Both mutants showed a progressive photoreceptor loss, but degeneration was more severe and significantly enhanced in the I756T mutants compared to the ΔEx14–17 mutants.
Burnout : intervención aplicada a un entrenador durante la competición

Burnout surge como respuesta inadecuada al estres generado por variables de indole familiar/social, deportivo y personal. Debido a su influencia en el ambito deportivo, se ha investigado mucho sobre burnout, pero son escasos los trabajos que realicen un proceso de intervencion con entrenadores. Asumiendo el paradigma de los sistemas dinamicos (el comportamiento final de un sistema, es resultado de la relacion de interdependencia establecida entre los distintos elementos presentes), presentamos una intervencion realizada con un entrenador de balonmano que presentaba sintomas de burnout. La intervencion se realizo en el transcurso de la temporada (mientras se disputaba la competicion) y tuvo como objetivo reducir la intensidad del burnout en el entrenador. Se aplico durante 9 semanas y abordo los elementos del contexto deportivo que previamente, por medio de una entrevista semi-estructurada, se identificaron como estresores para el entrenador (estilo negativo de direccion y de interaccion, altas demandas competitivas, excesivas demandas de energia y tiempo, monotonia del entrenamiento, sentimientos del deportista de estar apartado, no adaptacion de las expectativas originales con los logros finales obtenidos). Utilizando la version espanola del Athlete Burnout Questionnaire, se mide la intensidad del burnout en las tres dimensiones: agotamiento fisico/emocional (AFE), reducida sensacion de logro (RSL) y devaluacion de la practica deportiva (DPD), antes y despues de la intervencion.
A Covariant Road to Spatial Averaging in Cosmology : Scalar Corrections to the Cosmological Equations

A consistent approach to Cosmology requires an explicit averaging of the Einstein equations, to describe a homogeneous and isotropic geometry. Such an averaging will in general modify the Einstein equations. The averaging procedure due to Buchert has attracted considerable attention recently since it offers the tantalizing hope of explaining the phenomenon of dark energy through such corrections. This approach has been criticized, however, on the grounds that its effects may be gauge artifacts. We apply the fully covariant formalism of Zalaletdinov's Macroscopic Gravity and show that, after making some essential gauge choices, the Cosmological equations receive \emph{spacetime scalar} corrections which are therefore observable in principle, and further, that the broad structure of these corrections is \emph{identical} to those derived by Buchert.
Spatial and spectral features fusion for EEG classification during motor imagery in BCI

Brain computer interface (BCI) is the only way for some special patients to communicate with the outside world and provide a direct control channel between brain and the external devices. As a non-invasive interface, the scalp electroencephalography (EEG) has a significant potential to be a major input signal for future BCI systems. Traditional methods only focus on a particular feature in the EEG signal, which limits the practical applications of EEG-based BCI. In this paper, we propose a algorithm for EEG classification with the ability to fuse multiple features. First, use the common spatial pattern (CSP) as the spatial feature and use wavelet coefficient as the spectral feature. Second, fuse these features with a fusion algorithm in orchestrate way to improve the accuracy of classification. Our algorithms are applied to the dataset IV a from BCI complete III. By analyzing the experimental results, it is possible to conclude that we can speculate that our algorithm perform better than traditional methods.
Transient Modeling of Doubly Fed Induction Generator

Doubly Fed Induction Generator (DFIG) finds wide applications in wind energy that keeps on changing. Also, Small disturbances refer to transients; can be modeled as the change in load to DFIG system occurs more frequently. Therefore understanding the transient operation of DFIG became very much interesting and challenging. This is desired that the system should able to digest such disturbances. In this connection, this paper presents the transient modeling of DFIG for which speed controller and power factor controller are implemented to rotor in order to take care of such disturbances. This paper also presents the transient modeling of two DFIGs connected to the power system. The operation of two DFIGs connected to power system is analyzed and addressed.
Knockdown of the Placental Growth Factor Gene Inhibits Laser Induced Choroidal Neovascularization in a Murine Model

Purpose To evaluate the effect of placental growth factor (PlGF) gene knockdown in a murine model of laser-induced choroidal neovascularization. Methods Choroidal neovascularization was induced in the left eyes of 11 mice by infrared laser. Small interfering RNA (siRNA, 20 picomoles/10 μl) corresponding to PlGF mRNA was administered intravitreally by Hamilton syringe in all subjects. One month later, fluorescein angiography and histolologic examination were performed. Results No leakage was apparent in the 11 eyes treated with siRNA cognate to PlGF. The results of histological evaluation were consistent with angiographic findings showing absence of choroidal neovascularization. Conclusion Knockdown of the PlGF gene can inhibit the growth of laser-induced choroidal neovascularization in mice.
Understanding Software Development Through Networks

Software engineering, being a relatively new field, has struggled to find ways of gauging the success/failure of development projects. The ability to determine which developers are most crucial to the success of a project, which areas in the project contain the most risk, etc. has remained elusive thus far. Metrics such as SLOC (Source Lines of Code) continues to be used to determine the efficacy of individual developers on a project despite many well-documented deficiencies. In this work, I propose a new way to look at software development using network science. I use networks to to explain and understand the dynamics of the software development process. In this paper I examine several open-source software projects and detail one large opensource software development project—the Python programming language. I begin the analysis with a description of the basic characteristics of the networks used in this project. I follow with the main contribution of this work which is to examine the importance of the developer within their organization based on their centrality measures in networks such as degree, betweenness, and closeness.
THE ACTION OF Sn ON THE COHOMOLOGY OF M0,n(R)

In recent work by Etingof, Henriques, Kamnitzer, and the author, a presentation and explicit basis was given for the rational co-homology of the real locus M0,n(R) of the moduli space of stable genus 0 curves with n marked points. We determine the graded character of the action of Sn on this space (induced by permutations of the marked points), both in the form of a plethystic formula for the cycle index, and as an explicit product formula for the value of the character on a given cycle type.
QTL Map Meets Population Genomics: An Application to Rice

Genes involved in the transition from wild to cultivated crop species should be of great agronomic importance. Population genomic approaches utilizing genome resequencing data have been recently applied for this purpose, although it only reports a large list of candidate genes with no biological information. Here, by resequencing more than 30 genomes altogether of wild rice Oryza rufipogon and cultivated rice O. sativa, we identified a number of regions with clear footprints of selection during the domestication process. We then focused on identifying candidate domestication genes in these regions by utilizing the wealth of QTL information in rice. We were able to identify a number of interesting candidates such as transcription factors that should control key domestication traits such as shattering, awn length, and seed dormancy. Other candidates include those that might have been related to the improvement of grain quality and those that might have been involved in the local adaptation to dry conditions and colder environments. Our study shows that population genomic approaches and QTL mapping information can be used together to identify genes that might be of agronomic importance.
Learning Situation-Dependent Rules: Improving Planning from Robot Execution

Real world robot tasks are so complex that it is hard to hand-tune all of the domain knowledge, especially to model the dynamics of the environment. In this paper we present techniques for learning from real-world robot execution to improve planning and execution performance. We present our work learning from execution to improve a task planner's performance. Our system collects execution traces from the robot, and automatically extracts relevant information to improve the eeciency of generated plans. We introduce the concept of situation-dependent rules, where situational features are used to identify the conditions that aaect action achievability. It converts this execution knowledge into a sybmolic representation that the planner can use to generate plans appropriate for given situations.
MapWiki: A Map-based Content Sharing System for Distributed Location-dependent Information

In this paper, we propose a new map-based content sharing system ’MapWiki’ for ubiquitous content distribution. In MapWiki, users can publish location-dependent information on the map as Wiki contents which contains links or inline images of the objects in the ubiquitous environment by simple formatting rules. The status change of the content are updated on the map in real-time which enables users to communicate between real field and virtual environment. Publishers and receivers are authenticated using social network to ensure the trustfulness of the content. We have implemented MapWiki on Google Maps and evaluated its effectiveness. We also propose a distributed P2P-based content management method to manage location-dependent information of GMapWiki. In this content management method, each user stores his or her own location-dependentcontent in the local computer. This P2P-based content management method realizes scalability, flexibility and privacy of the GMapWiki system. We have enhanced a P2P networking method called ‘LL-Net’ to implement a prototype system and confirmed its feasibility.
Volumetric modulated arc therapy for thoracic node metastases: a safe and effective treatment for a neglected disease

Purpose To evaluate the outcome of Stereotactic Body Radiation Therapy (SBRT) with Volumetric Modulated Arc Therapy (VMAT) for thoracic node metastases. Results 18 out of 29 patients presented with isolated thoracic node metastases with no other sites of disease. Median prescribed dose was 45Gy (range 30–60Gy). Acute toxicity was recorded as G0 in 28 patients, while one patient was scored as G1. Late toxicity was G0 in 26 patients, one patient was scored G1, one as G2, and one as G4 presented acute myocardial infarction. During follow up, the best local response was complete remission in 14 patients and partial remission in 11 patients. With a median follow up of 12 months (range 2–35) 9 patients died from disease progression, 10 were still alive with distant metastases, 5 had a locally controlled disease and 5 patients were disease free. The median OS estimated was 18 months (76%, 49% at one, two years). The median PFS was 9 months (28%, 17% at one, two years). Materials and Methods Twenty-nine patients with 32 thoracic nodes metastases were treated with SBRT in our institution. Toxicities and response were assessed. Overall Survival (OS) and Progression Free Survival (PFS) were evaluated. Conclusions SBRT is an efficient treatment for thoracic node metastases.
Audience experience in social videogaming: effects of turn expectation and game physicality

Videogames are often played socially with both co-players and audiences. Audience members' experiences are not well understood, nor are the factors of videogaming sessions that influence their experience. We conducted a study to examine the effects of game physicality and turn anticipation on audience members' experiences in social videogaming sessions. Pairs of participants played games under three conditions of physicality (controller-based, Wii, and Kinect) and their expectation of turn-taking was manipulated. Their enjoyment, game engagement, social engagement and sense of participation were measured. We found that the introduction of turn-taking into the session had positive effects for audience members -- both anticipated and residual play effects -- and that Kinect gameplay resulted in a more enjoyable experience for audience members. We argue that audience members' experience changes as they become more active within a session, and suggest there are design opportunities between purely active 'players' and passive 'audience members'.
CONSTRUCTION OF RECTANGULAR PBIB DESIGNS

In this paper, some methods of constructing rectangular PBIB design are presented using the incidence matrix of a known PBIB design and Hadanard matrix. The rectangular design so constructed has nice block structure properties. The dual of these rectangular designs generate semiregular GD designs. A rectangular design is also constructed by using ݒൌ ଶ treatments arranged in n ൈ square array. Dual of this design is again a rectangular design.
Research on Integrated Navigation Technology of Field Robot

This paper introduced GPS/INS integrated navigation technology into field robot navigation system, and mainly discussed the data fusion algorithm based on fuzzy adaptive Kalman filter. For the reason that classical Kalman filter might lead to divergence of system state parameter estimation when it dealt with time varied statistic of measurement noise in different working conditions, then by monitoring the variation grade of the actual residual compared with filter residual, the novel algorithm could adjust recursively the measurement noise covariance of Kalman filter online to make it close to real measurement covariance gradually. As a result, the Kalman filter performs optimally and the accuracy of the navigation system is improved. The simulation result also proves that this fuzzy adaptive Kalman filter works better than the conventional filtering algorithm
Conceptual and Visual Models for Categorical Data

Abstract A dynamic conceptual model for categorical data is described that likens observations to gas molecules in a pressure chamber. In this physical model frequency corresponds to pressure, and fitting a statistical model by maximum likelihood corresponds to minimizing energy or balancing of forces. The model provides neat explanations of many results for categorical data, extends readily to multiway tables, and provides a rationale for the graphic representation of counts by area or visual density.
Evaluation of the SIFT Object Recognition Method For a Mobile Robotic Platform

This paper addresses object perception applied to mobile robotics. Being able to perceive semantically meaningful objects in unstructured environments is a key capability in order to make robots suitable to perform high-level tasks in home environments. However, ﬁnding a solution for this task is daunting: it requires the ability to handle the variability in image formation in a moving camera with tight time constraints. Here we extensively evaluate the well known SIFT object recognition method in a very challenging dataset of 30 objects captured while navigating with a mobile robot in a typical indoor setting. The obtained results are compared with those obtained in the same dataset by two other popular state of the art object recognition methods: the Vocabulary Tree and the Boosted Cascade of Weak Classiﬁers.
The immune boundaries for stem cell based therapies: problems and prospective solutions

• Introduction • Classification and sources of stem cells ‐ Embryonic stem ‐ Adult stem cells ‐ Mesenchymal stem cells ‐ Bone marrow and cord blood stem cells ‐ Amniotic fluid stem cells • Limitations of stem cells • Alternatives to overcome the limitations of stem cells • Histocompatibility and immune rejection • Are ESCs immunogenic or immunoprivileged? • Overcoming the need for immune manipulation to avoid rejection • Manipulating immune tolerance for stem cell‐based therapies • Conclusions
Inspecting the Investigators: An Analysis of Television Investigative Journalism and Factors Leading to Its Production

A nationwide content analysis of television stations showed low levels of investigative journalism quality and quantity. Most stories introduced as “investigative” were not investigative by definition. However, in an accompanying survey, about half of respondents said investigative quality and quantity had recently increased at their stations. Utilizing Shoemaker and Reese’s hierarchical model, organizational and social-institutional variables were used to predict investigative production. Stations in competitive markets and stations owned by publicly traded corporations produced more investigative journalism and were more likely to emphasize investigations. Stations emphasizing profit were less likely to emphasize investigative reporting.
A jumping robotic insect based on a torque reversal catapult mechanism

The design and the fabrication of a mesoscale jumping robotic insect are presented. The basis of the robot is a torque reversal catapult mechanism, inspired by a flea's jumping leg. The current robot structure is 20mm in length, 2mm in height and weighs 34mg. The smart composite microstructures (SCM) process is used to developing the mesoscale structures and articulated, flexure-based mechanisms of the leg. Furthermore, the design is compatible with the pop-up book MEMS process, ameliorating the laborious assembly process of small components. The robot prototype can achieve jumps of approximately 30cm with a 2.7m/s initial velocity. It is 150 times its body height. The effect of air resistance is considered in order to improve jumping performance with the light weight body structure. The air resistance efficiency (Jumping height in air (hv) / Jumping height in vacuum (hv)) is computed to be 0.83 and the robot exhibits a drag coefficient of 1.8.
Model-checking of causality properties

A temporal logic for causality (T/sub LC/) is introduced. The logic is interpreted over causal structures corresponding to partial order executions of programs. For causal structures describing the behavior of a finite fixed set of processes, a T/sub LC/-formula can, equivalently, be interpreted over their linearizations. The main result of the paper is a tableau construction that gives a singly-exponential translation from a T/sub LC/ formula /spl psi/ to a Streett automaton that accepts the set of linearizations satisfying /spl psi/. This allows both checking the validity of T/sub LC/ formulas and model-checking of program properties. As the logic T/sub LC/ does not distinguish among different linearizations of the same partial order execution, partial order reduction techniques can be applied to alleviate the state-space explosion problem of model-checking.
Optimized strategy of deployment firewall policies

Modern networks are becoming larger and more complex. This requires administrators and management tools to update their security policies and improve the deployment of their firewall. This latter represents a challenging and error-prone task, which aims to pass from one policy to another one while respecting the conditions of safety and security. Several studies have focused on the conception, optimization of security policy and conflict detection but rare are the researchers who tried to improve the firewall policy deployment. In this paper, we investigated the algorithm of type II policy and showed its vulnerability in some cases. As alternative, we provide a new algorithm for publishing political class type II. Further to its safety, our algorithm can be used even for the deployment of important size policies.
Signaling via Class IA Phosphoinositide 3-Kinases (PI3K) in Human, Breast-Derived Cell Lines

We have addressed the differential roles of class I Phosphoinositide 3-kinases (PI3K) in human breast-derived MCF10a (and iso-genetic derivatives) and MDA-MB 231 and 468 cells. Class I PI3Ks are heterodimers of p110 catalytic (α, β, δ and γ) and p50–101 regulatory subunits and make the signaling lipid, phosphatidylinositol (3,4,5)-trisphosphate (PtdIns(3,4,5)P3) that can activate effectors, eg protein kinase B (PKB), and responses, eg migration. The PtdIns(3,4,5)P3-3-phosphatase and tumour-suppressor, PTEN inhibits this pathway. p110α, but not other p110s, has a number of onco-mutant variants that are commonly found in cancers. mRNA-seq data shows that MCF10a cells express p110β>>α>δ with undetectable p110γ. Despite this, EGF-stimulated phosphorylation of PKB depended upon p110α-, but not β- or δ- activity. EGF-stimulated chemokinesis, but not chemotaxis, was also dependent upon p110α, but not β- or δ- activity. In the presence of single, endogenous alleles of onco-mutant p110α (H1047R or E545K), basal, but not EGF-stimulated, phosphorylation of PKB was increased and the effect of EGF was fully reversed by p110α inhibitors. Cells expressing either onco-mutant displayed higher basal motility and EGF-stimulated chemokinesis.This latter effect was, however, only partially-sensitive to PI3K inhibitors. In PTEN−/− cells, basal and EGF-stimulated phosphorylation of PKB was substantially increased, but the p110-dependency was variable between cell types. In MDA-MB 468s phosphorylation of PKB was significantly dependent on p110β, but not α- or δ- activity; in PTEN−/− MCF10a it remained, like the parental cells, p110α-dependent. Surprisingly, loss of PTEN suppressed basal motility and EGF-stimulated chemokinesis. These results indicate that; p110α is required for EGF signaling to PKB and chemokinesis, but not chemotaxis; onco-mutant alleles of p110α augment signaling in the absence of EGF and may increase motility, in part, via acutely modulating PI3K-activity-independent mechanisms. Finally, we demonstrate that there is not a universal mechanism that up-regulates p110β function in the absence of PTEN.