Miracle-dz/UniFAR-FTUs huggingface dataset:
Drosophila Pheromone-Sensing Neurons Expressing the ppk25 Ion Channel Subunit Stimulate Male Courtship and Female Receptivity

As in many species, gustatory pheromones regulate the mating behavior of Drosophila. Recently, several ppk genes, encoding ion channel subunits of the DEG/ENaC family, have been implicated in this process, leading to the identification of gustatory neurons that detect specific pheromones. In a subset of taste hairs on the legs of Drosophila, there are two ppk23-expressing, pheromone-sensing neurons with complementary response profiles; one neuron detects female pheromones that stimulate male courtship, the other detects male pheromones that inhibit male-male courtship. In contrast to ppk23, ppk25, is only expressed in a single gustatory neuron per taste hair, and males with impaired ppk25 function court females at reduced rates but do not display abnormal courtship of other males. These findings raised the possibility that ppk25 expression defines a subset of pheromone-sensing neurons. Here we show that ppk25 is expressed and functions in neurons that detect female-specific pheromones and mediates their stimulatory effect on male courtship. Furthermore, the role of ppk25 and ppk25-expressing neurons is not restricted to responses to female-specific pheromones. ppk25 is also required in the same subset of neurons for stimulation of male courtship by young males, males of the Tai2 strain, and by synthetic 7-pentacosene (7-P), a hydrocarbon normally found at low levels in both males and females. Finally, we unexpectedly find that, in females, ppk25 and ppk25-expressing cells regulate receptivity to mating. In the absence of the third antennal segment, which has both olfactory and auditory functions, mutations in ppk25 or silencing of ppk25-expressing neurons block female receptivity to males. Together these results indicate that ppk25 identifies a functionally specialized subset of pheromone-sensing neurons. While ppk25 neurons are required for the responses to multiple pheromones, in both males and females these neurons are specifically involved in stimulating courtship and mating.
A two step method to recover occluded part of face

In this paper, we propose an approach to recover the occluded part of a face image with the help of prior knowledge learned from a large face database. Firstly, a global model is applied to represent the relation-ship between the occluded part and non-occluded part of a face image. Then, a local compensation method is used to estimate high frequency content. A high quality face image is achieved by integrate both global and high frequency contents. Experiments show that our approach can recover a naturally face image with well preserved global and local detail information.
Modeling Cooperation between Nodes in Wireless Networks by APD Game

Cooperation is the foundation of many protocols in wireless networks. Without cooperation, the performance of a network significantly decreases. Hence, all nodes in traditional networks are required to cooperate with each other. In this paper, instead of traditional networks, a network of rational and autonomous nodes is considered. Which means that each node itself can decide whether to cooperate with its neighbor or not and performs something that benefits it. We have used Alternative Prisoner’s Dilemma game which is one of the classic games in the field of game theory, to model node's behavior in a nontraditional network. Then, by providing an approach based on Learning Automata, we've tried to encourage the nodes to cooperate with each other.
A new deduction system for deciding validity in modal logic K

A new deduction system for deciding validity for the minimal decidable normal modal logic K is presented in this paper. Modal logics could be very helpful in modeling dynamic and reactive systems such as bio-inspired systems and process algebras. In fact, recently it has been presented the Connectionist Modal Logics which combines the strengths of modal logics and neural networks. Thus, modal logic K is the basis for these approaches. Soundness, completeness, and the fact that the system itself is a decision procedure are proved in this paper. The main advantages of this approach are: first, the system is deterministic, that is, it generates one proof tree for a given formula; second, the system is a validity-checker, hence it generates a proof of a formula (if such exists); third, the language of deduction and the language of a logic coincide. Some of these advantages are compared to other classical approaches.
The Dust Content of Galaxy Clusters

We report on the detection of reddening toward z ∼ 0.2 galaxy clusters. This is measured by correlating the Sloan Digital Sky Survey cluster and quasar catalogs and by comparing the photometric and spectroscopic properties of quasars behind the clusters to those in the field. We find mean E(B − V) values of a few × 10−3 mag for sight lines passing ~Mpc from the clusters’ centers. The reddening curve is typical of dust but cannot be used to distinguish between different dust types. The radial dependence of the extinction is shallow near the cluster center suggesting that most of the detected dust lies at the outskirts of the clusters. Gravitational magnification of background z ∼ 1.7 sources seen on Mpc (projected) scales around the clusters is found to be of order a few percent, in qualitative agreement with theoretical predictions. Contamination by different spectral properties of the lensed quasar population is unlikely but cannot be excluded.
Users' reactions toward an on-screen agent appearing on different media

We experimentally investigated users' reactions toward an on-screen agent appearing on three different types of media: a 42-inch television, 17-inch display, and 4.5-inch mobile PC. Specifically, we observed whether the users accepted the agent's invitation to a Shiritori game while they were engaged in given tasks. The results showed that most participants who received the invitation from the on-screen agent appearing on a 4.5-inch mobile PC accepted the agent's invitation, while most participants did not accept the invitation from the agent appearing on the other two formats. Therefore, the mobile PC appears to be an appropriate media for an on-screen agent that is required for interaction with users.
The Application of Fuzzy Technology to Solar Home System

Solar energy is desirable for power generation due to its unlimited existence and environmental friendly nature. However the non-linearity characteristic of PV and the high initial investment impede its wide commercialization. This paper proposes the application of fuzzy technology to fuzzy charging management and system DC output control of solar home system. All these are accomplished in several cheap embedded control circuit based on MCU. Compared with previously proposed approaches, this method is much more efficient and cost-effective and yet exhibits excellent performance.
An Approach to Shorten Digital Signature Length

A new method is proposed to design short signature schemes based on diculty of factorizing a composite number n = qr, where q and r are two large primes. Using the method new digital signature schemes (DSS) with the 320-bit and 240-bit signature size are developed. The characteristic feature of the 240-bit signature DSS is the use of ”three-level” verification equation, for example, R = fl fi kgH mod n mod p, where k = i R fi g mod n mod p ¢ mod ‐. The (k;g) signature corresponds to the H hash value and represents a pair of natural numbers having the size of 80 and 160 bits, respectively. The ‐ modulus is a prime number. The public key is the triple (fi;fl;p), where p = 2n + 1 is prime, fl is the q order element modulo p, fi is the ∞ order element modulo q. The private key is represented by the pair of two prime numbers (q;∞).
LEAR -- A Low-Weight and Highly Adaptive Routing Method for Distributing Congestions in On-chip Networks

Congestion-aware routing algorithms can improve network throughput by avoiding packets to be routed through congested areas. In this paper, we propose a minimal/non-minimal routing algorithm to alleviate congestion in the network by making use of all available paths between sources and destinations. The simplicity of the proposed algorithm provides a cost and power efficient solution for Networks-on-Chip while the high degree of adaptive ness, achieved by using an additional virtual channel along the Y dimension, leads to an increased performance. In this method, different restrictions are imposed on the use of each virtual channel, so that the prohibited turns in one virtual channel are permitted in the other one. By fully exploiting of the eligible turns in the network, a large number of output channels can be provided by the proposed method. Based on this method, a packet is routed along the non-minimal path when the neighboring routers in the minimal path are congested.
Combinatorial approach for Text Classification Algorithm

There are large number of websites, web portals available in market places in order to buy or sell objects that means any kind of products. For examples filpkart, ebay, Amazon etc. due increase number of this web portals as well as its application Text mining, integration is become important area of Data mining which deals with classification. The problem with this portal is data integration. That is product with there description placed and identify in Record. The straight method for automate this process is to learn classifier for each text in document and classify and predict them there category. In this paper we used powerful method based on parallel text classification. To attack above problem availability of source data or document could help to find out better prediction. We formulated above problem to the best from our knowledge and study we showed classifier with parallel approach. Our analysis and empirical calculation gives substantial improvement in results and output with amount of time to predict the appropriate category and significant improvement . Keywords— Text Classification, Machine learning, text
Specification in a large industry consortium-the MOST approach

The MOST Cooperation (media-oriented systems transport) is an industry group of automotive and supplier companies that specifies interfaces of multimedia components. Many members are competitors: they collaborate on standards while preserving their competitive advantages. Moreover, development processes differ for each member, but the MOST standard must be concise and consistent. We develop an XML based architecture to support individual workflows and the specification process as a whole.
An intersubjective analysis of engineering leadership across organizational locations: Implications for higher education

Abstract Engineering leadership education has become increasingly popular over the past decade in response to national calls for educational change. Despite the growing popularity of the movement, however, reform efforts continue to be piecemeal in their delivery, driven largely by the priorities of program leaders who established them (Graham, 2012). If we as engineering educators wish to more systematically develop leadership skills in our students, we should begin by empirically examining and defining our phenomenon of interest: engineering leadership. Our article takes up this challenge by investigating how 82 engineers in five organizationally distinct roles define leadership and how their respective insights are shaped by their diverse organizational locations. After weaving together the perspectives of engineers in industry, human resource professionals, entrepreneurs, politicians and interns, we propose a poly-vocal definition of engineering leadership and identify practical implications for engineering leadership educators. R e sum e En reponse aux appels a reformer le systeme de l’education, la formation de leaders en genie a gagne en popularite au cours des dix dernieres annees. Malgre la popularite croissante de ce mouvement, les reformes demeurent partiales et suivent largement les priorites des directeurs de programmes qui les mettent en place (Graham, 2012). Si, en tant que formateurs d’ingenieurs, nous souhaitons perfectionner systematiquement les competences en leadership de nos etudiants, il nous faut commencer par une analyse empirique qui permette de definir precisement notre objet, soit le leadership en genie. Notre article releve le defi en analysant les facons dont 82 ingenieurs occupant cinq roles distincts dans une organisation definissent le leadership, et les facons dont leurs positions institutionnelles etablissent leurs perspectives. En tenant compte des perspectives d’ingenieurs de l’industrie, de professionnels des ressources humaines, d’entrepreneurs, de politiciens et de stagiaires, nous proposons une definition plurivoque du leadership en genie, et nous en identifions les implications pratiques pour les educateurs du domaine.
Different NaCl-Induced Calcium Signatures in the Arabidopsis thaliana Ecotypes Col-0 and C24

A common feature of stress signalling pathways are alterations in the concentration of cytosolic free calcium ([Ca2+]cyt), which allow the specific and rapid transmission of stress signals through a plant after exposure to a stress, such as salinity. Here, we used an aequorin based bioluminescence assay to compare the NaCl-induced changes in [Ca2+]cyt of the Arabidopsis ecotypes Col-0 and C24. We show that C24 lacks the NaCl specific component of the [Ca2+]cyt signature compared to Col-0. This phenotypic variation could be exploited as a screening methodology for the identification of yet unknown components in the early stages of the salt signalling pathway.
Robust affine iterative closest point algorithm based on correntropy for 2D point set registration

The traditional affine iterative closest point (ICP) algorithm is fast and accuracy for affine registration of point sets, but it performs worse when the point sets with large outliers. This paper introduces a novel algorithm based on correntropy for affine registration of point sets with outliers. First, a novel objective function is proposed by introducing the maximum correntropy criterion (MCC) because of the outlier-rejection property of correntropy. Then, a new affine ICP algorithm is proposed to solve this energy function. This method uses a simple iterative algorithm and computes the affine transformation quickly at each iterative step. Similar to the ICP algorithm, this new algorithm converges monotonically to a local maximum for any given initial parameters. Experimental results demonstrate that our algorithm has the high speed and accuracy for affine registration with outliers compared with the traditional ICP algorithm and the state-of-the-art algorithms.
The e-marketing mix: A contribution of the e-tailing wars

In the context of the wars between the upstart Internet retailers and the existing bricks-and-mortar retailers, many e-marketing techniques were invented. This article develops a single unifying and theoretically based taxonomy for e-marketing techniques: the e-marketing mix. Drawing on the paradigms of exchange, relationships, and digital interactions in networks, 11 e-marketing functions are identified that form the elements of the e-marketing mix. Nine of the 11 e-marketing functions are considered basic, while 7 functions moderate the effects of others and are termedoverlapping. The 11 e-marketing functions provide a categorization of the e-marketing techniques. Compared to the conventional marketing mix, the e-marketing mix has more overlapping elements and directly represents personalization, an aspect of segmentation, as a basic function. The existence of multiple elements that are basic and overlapping in the e-marketing mix indicates that integration across elements should be more commonplace compared to the traditional marketing mix.
Cancer MDA-MB-231 Cells Suppresses Tumorigenicity and Metastasis of Human Breast Type III Receptor β A Soluble Transforming Growth Factor

Transforming growth factor b (TGF-b) can promote late stage tumor progression in a number of model systems. In the present study, we have examined whether expression of a truncated soluble extracellular domain of TGF-b type III receptor (sRIII) in human breast cancer MDA-MB-231 cells can antagonize the tumor-promoting activity of TGF-b by sequestering active TGF-b isoforms that are produced by the cancer cells. The secretion of sRIII reduced the amount of active TGFb1 and TGF-b2 in the conditioned medium. This led to a significant reduction of the growthinhibitory activity of the medium conditioned by sRIII-expressing cells on the growth of mink lung epithelial CCL64 cells in comparison with the medium conditioned by the control cells. The tumor incidence and growth rate of all of the three sRIII-expressing clones studied were significantly lower than those of the control cells in athymic nude mice. Four of five control cell-inoculated mice showed spontaneous metastasis in the lung, whereas none of the sRIII-expressing cell-inoculated mice had any lung metastasis. Thus, our results suggest that the sRIII may be used to antagonize the tumor-promoting activity of TGF-b.
Fast concurrent object classification and localization

Object localization and classification are important probl ems in computer vision. However, in many applications, exhaustive search over all c l ss labels and image locations is computationally prohibitive. While severa l methods have been proposed to make either classification or localization more efficient, few have dealt with both tasks simultaneously. This paper proposes a n efficient method for concurrent object localization and classification base d on a data-dependent multi-class branch-and-bound formalism. Existing bag-of -features classification schemes, which can be expressed as weighted combinations of feature counts can be readily adapted to our method. We present experimental re su ts that demonstrate the merit of our algorithm in terms of classification a ccuracy, localization accuracy, and speed, compared to baseline approaches includi ng exhaustive search, the ISM method, and single-class branch and bound.
Development and Experimental Validation of a Dry Non-Invasive Multi-Channel Mouse Scalp EEG Sensor through Visual Evoked Potential Recordings

In this paper, we introduce a dry non-invasive multi-channel sensor for measuring brainwaves on the scalps of mice. The research on laboratory animals provide insights to various practical applications involving human beings and other animals such as working animals, pets, and livestock. An experimental framework targeting the laboratory animals has the potential to lead to successful translational research when it closely resembles the environment of real applications. To serve scalp electroencephalography (EEG) research environments for the laboratory mice, the dry non-invasive scalp EEG sensor with sixteen electrodes is proposed to measure brainwaves over the entire brain area without any surgical procedures. We validated the proposed sensor system with visual evoked potential (VEP) experiments elicited by flash stimulations. The VEP responses obtained from experiments are compared with the existing literature, and analyzed in temporal and spatial perspectives. We further interpret the experimental results using time-frequency distribution (TFD) and distance measurements. The developed sensor guarantees stable operations for in vivo experiments in a non-invasive manner without surgical procedures, therefore exhibiting a high potential to strengthen longitudinal experimental studies and reliable translational research exploiting non-invasive paradigms.
In Silico Analysis of Transcription Factor Repertoires and Prediction of Stress-Responsive Transcription Factors from Six Major Gramineae Plants

The interactions between transcription factors (TFs) and cis-regulatory DNA sequences control gene expression, constituting the essential functional linkages of gene regulatory networks. The aim of this study is to identify and integrate all putative TFs from six grass species: Brachypodium distachyon, maize, rice, sorghum, barley, and wheat with significant information into an integrative database (GramineaeTFDB) for comparative genomics and functional genomics. For each TF, sequence features, promoter regions, domain alignments, GO assignment, FL-cDNA information, if available, and cross-references to various public databases and genetic resources are provided. Additionally, GramineaeTFDB possesses a tool which aids the users to search for putative cis-elements located in the promoter regions of TFs and predict the functions of the TFs using cis-element-based functional prediction approach. We also supplied hyperlinks to expression profiles of those TF genes of maize, rice, and barley, for which data are available. Furthermore, information about the availability of FOX and Ds mutant lines for rice and maize TFs, respectively, are also accessible through hyperlinks. Our study provides an important user-friendly public resource for functional analyses and comparative genomics of grass TFs, and understanding of the architecture of transcriptional regulatory networks and evolution of the TFs in agriculturally important cereal crops.
Microdynamics in diverse teams: A review and integration of the diversity and stereotyping literatures

Research on the consequences of diversity in teams continues to produce inconsistent results. We review the recent developments in diversity research and identify two shortcomings. First, an understanding of the microdynamics affecting processes and outcomes in diverse teams is lacking. Second, diversity research has tended to treat different social categories as equivalent and thus not considered how members’ experiences may be affected by their social category membership. We address these shortcomings by reviewing research on stereotypes, which indicates that stereotypes initiate reinforcing microdynamics among (a) attributions of a target team member’s warmth and competence, (b) perceiving members’ behavior toward the target team member, and (c) the target team member’s behavior. Our review suggests that perceivers’ impression formation motivation is the key determinant of the extent to which perceivers continue to treat a target based on categorization. On the basis of our review, we provide an integrative perspective and corresponding model that outlines these MIcrodynamics of Diversity and Stereotyping in Teams (MIDST) and indicates how stereotyping can benefit as well as harm team functioning. We discuss how this integrative perspective on the MIDST relates to the social categorization and the information/decision-making perspective, set a research agenda, and discuss the managerial implications.