Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic phosphoregulation of the cortical actin cytoskeleton and endocytic machinery revealed by real-time chemical genetic analysis

We used chemical genetics to control the activity of budding yeast Prk1p, which is a protein kinase that is related to mammalian GAK and AAK1, and which targets several actin regulatory proteins implicated in endocytosis. In vivo Prk1p inhibition blocked pheromone receptor endocytosis, and caused cortical actin patches to rapidly aggregate into large clumps that contained Abp1p, Sla2p, Pan1p, Sla1p, and Ent1p. Clump formation depended on Arp2p, suggesting that this phenotype might result from unregulated Arp2/3-stimulated actin assembly. Electron microscopy/immunoelectron microscopy analysis and tracking of the endocytic membrane marker FM4-64 revealed vesicles of likely endocytic origin within the actin clumps. Upon inhibitor washout, the actin clumps rapidly disassembled, and properly polarized actin patches reappeared. Our results suggest that actin clumps result from blockage at a normally transient step during which actin assembly is stimulated by endocytic proteins. Thus, we revealed tight phosphoregulation of an intrinsically dynamic, actin patch–related process, and propose that Prk1p negatively regulates the actin assembly–stimulating activity of endocytic proteins.
Vers une exploitation de documents multi-structurés

The diversity of digital document uses has created new interests in archiving, storing and accessing these documents. Depending on the use, these documents can have various structures and several interpretations of these structures. This paper presents an approach for the multi-structured documents processing. Indeed, we propose a meta-model based on the several views. Each view provides a representation of a document structure or structure interpretation. The integration of these various views in a document repository allows a complete vision and a better exploitation of the documents. In an effort to illustrate feasibility of our approach, we present an applicative framework. MOTS-CLÉS : entrepôt de document, méta-modèle, vues, documents multi-structurés, stockshots, méta-données.
Expressing WSMO Mediators in OWL-S

The WSMO/WSML/WSMX initiative and the OWL-S initiative aim at similar goals: providing a support for Semantic Web services. Despite the similarity of the ultimate goal, the two approaches are very different. In this paper, we analyze one of such differences, namely the concept of mediators in WSMO, and we show how those mediators can be expressed in OWL-S. The result of this work shows that, given the focus of OWL-S, mediators should not be first class citizens in OWL-S, but that they can be expressed and discovered nevertheless.
Statistical Taguchi Optimization for Preparation and Adhesion Evaluation of Epoxy Insulator to the Surface of Double Base Propellant Grain

In this work, Taguchi design (orthogonal array, OA9) was used for the adhesion investigation of an epoxy insulator to a double base (DB) propellant grain. In this manner three epoxy resins based on diglycidylether bisphenol A (DGEBA) and three polyamine curing agents with an active diluent based on DGEBA were used. Therefore, the effects of resin type, curing agent type with its amount and diluent quantity as main factors were investigated on the single lap shear strength (adhesion strength) and then the results were quantitatively evaluated by the analysis of variance (ANOVA). The data given of ANOVA predicted that the best adhesion strength of 15.584 ± 1.606 MPa was obtained for the optimum conditions of MANA POX-102 as epoxy resin, H-37 as curing agent with 57 phr, ERYSYS GE-30 as diluent with 5 phr. In comparison, practical result of adhesion strength obtained for the optimum conditions was 15.4 ± 0.2 MPa. Also the Pull-off test results on the surface of the DB propellant showed that the maximum adhesion strength (related to the optimal conditions) is 2.64 ± 0.2 MPa.
On Multiprocessor System Scheduling

We show that there is a good algorithm for scheduling the average completion time of a set of unknown DAGs (i.e., data dependency relation graphs of programs) on a multiprocessor in the PRAM model (Karp and Ramachandran, 1990) (orother similar shared memory models.) Then, we show that a large class ofparallel jobs can be scheduled with near-optimal average completion time in the BSP model (Valiant, 1990a) though this is not possible for theclass of all unknown DAGs (Deng and Koutsoupias, 1993) (the same holds forother similar distributed memory models.)
Increase of seed germination, growth and membrane integrity of wheat seedlings by exposure to static and a 10-KHz electromagnetic field

There is a large body of experimental data demonstrating various effects of magnetic field (MF) on plants growth and development. Although the mechanism(s) of perception of MF by plants is not yet elucidated, there is a possibility that like other stimuli, MF exerts its effects on plants by changing membrane integrity and conductance of its water channels, thereby influencing growth characteristics. In this study, the seeds of wheat (Triticum aestivum L. cv. Kavir) were imbibed in water overnight and then treated with or without a 30-mT static magnetic field (SMF) and a 10-kHz electromagnetic field (EMF) for 4 days, each 5 h. Water uptake of seeds reduced 5 h of the treatment with EMF but did not show changes in SMF treatment. Exposure to both magnetic fields did not affect germination percent of the seeds but increased the speed of germination, compared to the control group. Treatment with EMF significantly reduced seedling length and subsequently vigor index I, while SMF had no effects on these parameters. Both treatments significantly increased vigor index II, compared to the control group. These treatments also remarkably increased catalase activity and proline contents of seedlings but reduced the activity of peroxidase, the rate of lipid peroxidation and electrolyte leakages of membranes. The results suggest promotional effects of EMFs on membrane integrity and growth characteristics of wheat seedlings.
Integrating Dimensional and Discrete Theories of Emotions: A New Set of Anger- and Fear-Eliciting Stimuli for Children

ABSTRACT The selection of appropriate stimuli for inducing specific emotional states has become one of the most challenging topics in psychological research. In the literature there is a lack of affective picture database specifically suited to investigate emotional response in children. Here the authors present the methodology that led us to create a new database (called Anger- and Fear-Eliciting Stimuli for Children) of affective stimuli inducing experiences of 3 target emotions (neutral, anger, and fear) to use in experimental session involving children. A total of 84 children were asked to (a) indicate the perceived emotion and its intensity and (b) rate the three affective dimensions of the Self-Assessment Manikin (SAM). Based on concordance between labeled and expected target emotion, the authors decided to select 15 stimuli to be included in Multivariate modeling techniques were applied to evaluate the association between expected target emotion and SAM ratings. The authors found that the hit rate for the neutral pictures was good (greater than 81%), for fear-eliciting pictures it was greater than 64%, and for anger-eliciting pictures it was moderate (between 45% and 56%). The study results reveal also an age effect only in the arousal scale. However, the authors did not find significant gender-related differences in SAM ratings.
MV-POLYTOPES VIA AFFINE BUILDINGS

For an algebraic group G, Anderson originally defined the notion of MV-polytopes in [And03], images of MV-cycles, defined in [MV07], under the moment map of the corresponding affine Grassmannian. It was shown by Kamnitzer in [Kam07] and [Kam05] that these polytopes can be described via tropical relations and give rise to a crystal structure on the set of MV-cycles. Another crystal structure can be introduced using LS-galleries which were defined by Gaussent and Littelmann in [GL05], a more discrete version of Littelmann’s path model. The main result of this paper is a direct combinatorial construction of the MV-polytopes using LS-galleries. In addition we link this construction to the retractions of the affine building and the Bott-Samelson variety corresponding to G. This leads to a definition of MV-polytopes not involving the tropical Plucker relations. Herefore it provides a description of the polytopes independent of the type of the algebraic group via the gallery model and affine buildings.
Queuing-Based Energy Consumption Management for Heterogeneous Residential Demands in Smart Grid

In this paper, an energy consumption management is considered for households (users) in a residential smart grid network. In each house, there are two types of demands, essential and flexible demands, where the flexible demands are further categorized into delay-sensitive and delay-tolerant demands. The delay-sensitive demands have higher priority to be served than the delay-tolerant demands. Meanwhile, in order to decrease the delay of delay-tolerant demands, such demands are allowed to be upgraded to the high-priority queue (i.e., the same queue that serves the delay-sensitive demands) with a given probability. An optimization problem is then formulated to minimize the total electricity cost and the operation delay of flexible demands by obtaining the optimal energy management decisions. Based on adaptive dynamic programming, a centralized algorithm is proposed to solve the optimization problem. In addition, a distributed algorithm is designed for practical implementation and the neural network is employed to estimate the pricing or demands when such system information is not known. Simulation results show that the proposed schemes can provide effective management for household electricity usage and reduce the operation delay for the flexible demands.
Weight status and body image perceptions in adolescents: current perspectives

Adolescence represents a pivotal stage in the development of positive or negative body image. Many influences exist during the teen years including transitions (eg, puberty) that affect one’s body shape, weight status, and appearance. Weight status exists along a spectrum between being obese (ie, where one’s body weight is in the 95th percentile for age and gender) to being underweight. Salient influences on body image include the media, which can target adolescents, and peers who help shape beliefs about the perceived body ideal. Internalization of and pressures to conform to these socially prescribed body ideals help to explain associations between weight status and body image. The concepts of fat talk and weight-related bullying during adolescence greatly contribute to an overemphasis on body weight and appearance as well as the development of negative body perceptions and dissatisfaction surrounding specific body parts. This article provides an overview of the significance of adolescent development in shaping body image, the relationship between body image and adolescent weight status, and the consequences of having a negative body image during adolescence (ie, disordered eating, eating disorders, and dysfunctional exercise). Practical implications for promoting a healthy weight status and positive body image among adolescents will be discussed.
Coccidiosis in poultry: anticoccidial products, vaccines and other prevention strategies

Coccidiosis in chickens is a parasitic disease with great economic significance, which has been controlled successfully for decades using mainly anticoccidial products. However, large-scale and long-term use of anticoccidial drugs has led to the worldwide development of resistance against all these drugs. In order to minimize the occurrence of resistance, the rotation of various anticoccidial drugs in single and/or shuttle programmes is used. Unfortunately, this has not solved the anticoccidial resistance problem. Recently, live anticoccidial vaccines have been incorporated into rotation programmes, resulting in an increasing incidence of anticoccidial drug-sensitive Eimeria spp. field isolates, which may ameliorate the efficacy of anticoccidial drugs. Nevertheless, possible upcoming bans restricting the use of anticoccidials as feed additives, consumer concerns on residues and increasing regulations have prompted the quest for alternative coccidiosis control strategies. Although management and biosecurity measures could halt the introduction of Eimeria spp. to a farm, in practice they do not suffice to prevent coccidiosis outbreaks. Phytotherapy, aromatherapy and pre- and probiotics either show conflicting, non-consistent or non-convincing results, and have therefore not been applied at a large scale in the field. So far, live attenuated and non-attenuated anticoccidial vaccines have proved to be the most solid and successful coccidiosis prevention and control strategy. Despite the drawbacks associated with their production and use, their popularity is increasing. If with time, the immunogenicity of subunit vaccines can be improved, they could represent the next generation of highly efficient and low-cost anticoccidial strategies.
4‐Benzothiazole‐7‐hydroxyindolinyl Diaryl Ureas Are Potent P2Y1 Antagonists with Favorable Pharmacokinetics: Low Clearance and Small Volume of Distribution

Current antithrombotic discovery efforts target compounds that are highly efficacious in thrombus reduction with less bleeding liability than the standard of care. Preclinical data suggest that P2Y1 antagonists may have lower bleeding liabilities than P2Y12 antagonists while providing similar antithrombotic efficacy. This article describes our continuous SAR efforts in a series of 7‐hydroxyindolinyl diaryl ureas. When dosed orally, 4‐trifluoromethyl‐7‐hydroxy‐3,3‐dimethylindolinyl analogue 4 was highly efficacious in a model of arterial thrombosis in rats with limited bleeding. The chemically labile CF3 group in 4 was then transformed to various groups via a novel one‐step synthesis, yielding a series of potent P2Y1 antagonists. Among them, the 4‐benzothiazole‐substituted indolines had desirable PK properties in rats, specifically, low clearance and small volume of distribution. In addition, compound 40 had high i.v. exposure and modest bioavailability, giving it the best overall profile.
The Self-Organization of Interaction Networks for Nature-Inspired Optimization

Over the last decade, significant progress has been made in understanding complex biological systems, however, there have been few attempts at incorporating this knowledge into nature inspired optimization algorithms. In this paper, we present a first attempt at incorporating some of the basic structural properties of complex biological systems which are believed to be necessary preconditions for system qualities such as robustness. In particular, we focus on two important conditions missing in evolutionary algorithm populations; a self-organized definition of locality and interaction epistasis. We demonstrate that these two features, when combined, provide algorithm behaviors not observed in the canonical evolutionary algorithm (EA) or in EAs with structured populations such as the cellular genetic algorithm. The most noticeable change in algorithm behavior is an unprecedented capacity for sustainable coexistence of genetically distinct individuals within a single population. This capacity for sustained genetic diversity is not imposed on the population but instead emerges as a natural consequence of the dynamics of the system.
Probabilistic multicast

Gossip-based broadcast algorithms have been considered as a viable alternative to traditional deterministic reliable broadcast algorithms in large scale environments. However, these algorithms focus on broadcasting events inside a large group of processes, while the multicasting of events to a subset of processes in a group only, potentially varying for every event, has not been considered. We propose a scalable gossip-based multicast algorithm which ensures, with a high probability, that (1) a process interested in a multicast event delivers that event (just like in typical gossip-based broadcast algorithms), and that (2) a process not interested in that event does not receive it (unlike in broadcast algorithms).
Research on human activity recognition based on active learning

This paper addresses the problem of human activity recognition based on wearable sensors. In resent years researches on human daily activity recognition have enabled impressive result on substantial amount of labeled training samples. However, unlabeled samples are readily available but labeled ones are often difficult and slow to obtain. In order to reduce the level of supervision, this paper analyzes the feasibility of active learning for searching most informative samples to be labeled by a user in activity recognition. The Experimental results of daily human activity recognition indicate that the active learning approach can extract low-level context information from few sensor nodes and then be processed to obtain high-level context information; and the query functions can detect the informative unlabeled activity sample to ask people to label, so as to learn from large amount of readily available unlabeled data.
Modeling Time-Varying Aggregate Interference in Cognitive Radio Systems, and Application to Primary Exclusive Zone Design

Accurately characterizing the time-varying interference caused to the primary users is essential in ensuring a successful deployment of cognitive radios (CR). We show that the aggregate interference at the primary receiver (PU-Rx) from multiple, randomly located cognitive users (CUs) is well modeled as a shifted lognormal random process, which is more accurate than the lognormal and the Gaussian process models considered in the literature, even for a relatively dense deployment of CUs. It also compares favorably with the asymptotically exact stable and symmetric truncated stable distribution models, except at high CU densities. Our model accounts for the effect of imperfect spectrum sensing, which depends on path-loss, shadowing, and small-scale fading of the link from the primary transmitter to the CU; the interweave and underlay modes of CR operation, which determine the transmit powers of the CUs; and time-correlated shadowing and fading of the links from the CUs to the PU-Rx. It leads to expressions for the probability distribution function, level crossing rate, and average exceedance duration. The impact of cooperative spectrum sensing is also characterized. We validate the model by applying it to redesign the primary exclusive zone to account for the time-varying nature of interference.
Socio-economic and lifestyle parameters associated with diet quality of children and adolescents using classification and regression tree analysis: the DIATROFI study

Abstract Objective To explore factors affecting children’s and adolescents’ diet quality, in the framework of a food aid and promotion of healthy nutrition programme implemented in areas of low socio-economic status of Greece, during the current financial crisis. Design From a total of 162 schools participating in the programme during 2012–2013, we gathered 15 897 questionnaires recording sociodemographic characteristics, lifestyle parameters and dietary habits of children and their families. As a measure of socio-economic status, the Family Affluence Scale (FAS) was used; whereas for the assessment of diet quality, the KIDMED score was computed. Associations between KIDMED and FAS, physical activity and socio-economic parameters were examined using regression and classification–regression tree analysis (CART). Results The higher the FAS score, the greater the percentage of children and adolescents who reported to consume, on a daily basis, fruits and vegetables, dairy products and breakfast (P<0·001). Results from CART showed that children and adolescents in the medium or high FAS groups had higher KIDMED score, compared with those in the low FAS group. For those in the low FAS group, KIDMED score is expected to increase by 12·4 % when they spend more than 0·25 h/week in sports activities. The respective threshold for the medium and high FAS groups is 1·75 h/week, while education of the mother and father affected KIDMED score significantly as well. Conclusions Diet quality is strongly influenced by socio-economic parameters in children and adolescents living in economically disadvantaged areas of Greece, so that lower family affluence is associated with worse diet quality.
Optimizing Visual Properties of Game Content Through Neuroevolution

This paper presents a search-based approach to generating game content that satisfies both gameplay requirements and user-expressed aesthetic criteria. Using evolutionary constraint satisfaction, we search for spaceships (for a space combat game) represented as compositional pattern-producing networks. While the gameplay requirements are satisfied by ad-hoc defined constraints, the aesthetic evaluation function can also be informed by human aesthetic judgement. This is achieved using indirect interactive evolution, where an evaluation function re-weights an array of aesthetic criteria based on the choices of a human player. Early results show that we can create aesthetically diverse and interesting spaceships while retaining in-game functionality.
Thermophilic anaerobic digestion: the best option for waste treatment

After introducing thermophilic anaerobic digestion (AD), characteristics of thermophilic methanogens are provided. Accordingly, (a) site of occurrence, (b) morphological characteristics (shape and motility), (c) biochemical characteristics (Gram character and % G+C profile), (d) nutritional characteristics (NaCl requirement and substrate specificity), and (e) growth characteristics (pH and temperature) of thermophilic methanogens are described. Some studies of the thermophilic AD are cited with their operational management problems. Subsequently, strategies to maximize net energy production are given, including mode of heating the bioreactors, role of agitation to promote AD performance and mode/intensity of mixing. Finally, advantages as well as drawbacks of AD under thermophilic conditions are given, concluding with its applications.
An effective algorithm for parallelizing hash joins in the presence of data skew

A parallel hash join algorithm based on the concept of hierarchical hashing is proposed to address the problem data skew. The proposed algorithm adds an extra scheduling phase to the usual hash and join phases. During the scheduling phase, a heuristic optimization algorithm, using the output of the hash phase, attempts to balance the load across the multiple processors in the subsequent join phase. The algorithm naturally identifies the hash partitions with the largest skew elements, splits them up, and assigns each of them to an optimal number of processors. Assuming a Zipf-like distribution of the elements in the join column, the algorithm is shown to achieve good load balancing for the join phase in a CPU-bound environment, and it is shown to be fairly robust relative to the degree of data skew and the total number of processors. The overall speedup due to this algorithm is compared with conventional parallel hash join methods and the considerable advantage of the proposed method is demonstrated even when the additional scheduling phase is taken into account. <<ETX>>