Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanism of polarized protrusion formation on neuronal precursors migrating in the developing chicken cerebellum

Directed cell migration results from the polarization of the cellular motile apparatus by integration of extracellular signals, which are presented in a three-dimensional, spatiotemporal manner in living organisms. To investigate the mechanism underlying the highly polarized and directional nature of migration in vivo, we have developed an imaging system for observing rhombic lip cell migration in the developing chicken cerebellum. First, we show that Cdc42 is the central regulator of the overall polarity, morphology and protrusion formation in these cells. However, perturbation of canonical polarity effectors of Cdc42, e.g. the Par6-Par3-aPKC complex, does not disrupt the cell asymmetry, whereas it affects orientation of the tip of the leading process. In contrast to Cdc42, Rac is required for the generation of protrusions but not the overall polarity. Function interference of class IA phosphoinositide 3-kinase abrogates both directional extension and maintenance of the long leading process, whereas PTEN modulates the size of the protrusion. Actomyosin contractility is important for coordinated spreading of the tip of the leading process in situ. Finally, ErbB4 functions in the generation of protrusions on the rhombic lip cells. These results suggest that polarized protrusion formation on neuronal precursors may occur by a more divergent and complex mechanism than that seen in studies of other cell types growing on planar substrates.
BOO-HOORAY AND AFFECTIVE APPROACHES TO ETHICAL TEXTUAL ANALYSIS

In Language, Truth, and Logic Ayer took the surprising position that ethical judgments, exhortations, and descriptions are neither true nor false, but are emotive statements. While his argumentation was in support of the logical positivist position, it suggests a novel method for computational systems to recognize utterances regarding ethics. Namely, expressions of emotion can be likened to “boos” or “hoorays” issued from a metaphorical crowd in moral response. This paper presents a simple natural language processing system that searches for terms and categorizes the text accompanying these terms as a “boo” or “hooray,” making use of a list of emotional terms compiled by Cowie et al. and orientations recorded by Whissel and Plutchik. The system uses this bag-ofwords and a search engine to assign emotive scores to terms of the user's choosing. The contribution of this work is a primitive technique for computers to ethically evaluate textual queries.
Performance Analysis of Spectral Amplitude Encoding OCDM Systems Over a Linear Dispersive Optical Channel

We propose a new model of pulse propagation over a linear dispersive optical channel and use this model to comprehensively analyze the performance of spectral amplitude encoding optical code-division multiplexing (SAE/OCDM) systems under the impact of group velocity dispersion (GVD). We quantitatively discuss the impact of GVD on various aspects of SAE/OCDM system performance, including the number of supportable users and the maximum transmission length and power penalty. We also investigate the system performance with several types of optical fibers, such as single-mode fiber (SMF), dispersion-shifted fiber (DSF), and nonzero DSF. In addition, we discuss techniques to compensate for GVD so that the performance of SAE/OCDM systems can be improved.
9 60 20 23 v 2 4 J ul 1 99 6 Geometry Eigenvalues and Scalar Product from Recoupling Theory in Loop Quantum Gravity

We summarize the basics of the loop representation of quantum gravity and describe the main aspects of the formalism, including its latest developments, in a reorganized and consistent form. Recoupling theory, in its graphical tangle-theoretic Temperley-Lieb formulation, provides a powerful calculation tool in this context. We describe its application to the loop representation in detail. Using recoupling theory, we derive general expressions for the spectrum of the quantum area and the quantum volume operators. We compute several volume eigenvalues explicitly. We introduce a scalar product with respect to which area and volume are symmetric operators, and (the trivalent expansions of) the spin network states are orthonormal.
Increasing Web Service Dependability Through Consensus Voting

This paper demonstrates our Web Service based N-Version model, WS-FTM (Web Service-Fault Tolerance Mechanism), which applies this well proven technique to the domain of Web Services to increase system dependability. WS-FTM achieves transparent usage of replicated Web Services by use of a modified stub. The stub is created using tools included in WS-FTM. Our initial implementation includes a simple consensus voter that allows generic result comparison. Finally we show, through the use of a non-trivial example, that WS-FTM can be used to increase the reliability of a Web Service system.
X-ray Detectors for Kaonic Atoms Research at DAΦNE

This article presents the kaonic atom studies performed at the INFN National Laboratory of Frascati (Laboratori Nazionali di Frascati dell’INFN, LNF-INFN) since the opening of this field of research at the DA Φ NE collider in early 2000. Significant achievements have been obtained by the DA Φ NE Exotic Atom Research (DEAR) and Silicon Drift Detector for Hadronic Atom Research by Timing Applications (SIDDHARTA) experiments on kaonic hydrogen, which have required the development of novel X-ray detectors. The 2019 installation of the new SIDDHARTA-2 experiment to measure kaonic deuterium for the first time has been made possible by further technological advances in X-ray detection.
APPLICATION OF THE MODE OBJECT-BASED VERIFICATION TOOL FOR THE EVALUATION OF MODEL PRECIPITATION FIELDS

In recent years, the verification and numerical modeling communities have increasingly focused attention on development of new tools for evaluation of spatial forecasts of elements such as precipitation, convection, and clouds. Because these elements exhibit significant spatial variability, their structure and specific location can be difficult to forecast; traditional verification measures [e.g., Critical Success Index (CSI), Root-mean-squared error (RMSE)] penalize the performance of forecasts with these types of errors without identifying the cause of the poor performance. In fact, for many users or decision making situations, small location errors may not be important; yet traditional verification measures indicate a forecast with these errors has little or no skill. Spatial forecast verification issues are particularly relevant for high resolution forecasts (e.g., from fine scale or mesoscale models). Many of the new verification developments have focused on methods that provide more diagnostic information about forecast performance and can separate location errors from magnitude and other errors. Several different types of approaches have been developed, including scale-separation techniques (e.g., Casati et al. 2004); entity-based approaches that involve optimal matching of forecast and observed precipitation regions (Ebert and McBride 2000); and object-based approaches, in which forecast and observed areas of precipitation (or other element of interest) are represented and compared as objects, characterized by attributes such as location, size, and intensity (e.g., Baldwin and Lakshmivarahan 2003; Marzban and Sandgathe 2006, Davis et al. 2006). This paper describes a new object-based verification tool, the Method for Object-based Diagnostic Evaluation (MODE) and its application to precipitation forecasts from the Weather Research and Forecasting (WRF) model. The MODE tool is included in the first version of the Model Evaluation Tools (MET), a set of model verification tools that will soon be available to the WRF community. The MODE tool is described more completely in Section 2, and an example of the application of MODE to WRF precipitation forecasts is presented in Section 3. Because results obtained from the application of spatial verification methods vary significantly as a function of the spatial scale of the forecast and observation fields, variations in performance as a function of scale are considered in Section 4. Future development and applications of MODE are discussed in Section 5.
Speed and Flux Control of Induction Motors Using Emotional Intelligent Controller

This paper presents a real-time implementation of an improved emotional controller for induction motor (IM) drives. The proposed controller is called brain-emotional-learning-based intelligent controller. The utilization of the new controller is based on the emotion-processing mechanism in the brain and is essentially an action selection, which is based on sensory inputs and emotional cues. This intelligent control is based on the limbic system of the mammalian brain. The controller is successfully implemented in real time using a PC-based three-phase 2.5-kW laboratory squirrel-cage IM. In this paper, a novel but simple model of the IM drive system is achieved by using the intelligent controller, which simultaneously controls the motor flux and speed. This emotional intelligent controller has a simple computational structure with high auto learning features. The proposed emotional controller has been experimentally implemented in a laboratory IM drive, and it shows good promise for niche industrial-scale utilization.
A Novel Design Methodology for Implementing Reliability-Aware Systems on SRAM-Based FPGAs

This paper presents a novel design flow for the implementation of digital systems onto SRAM-based FPGAs with soft error mitigation properties. Traditional fault detection/tolerance techniques are coupled with the device dynamic reconfiguration property to achieve soft error mitigation capabilities, and are applied to the single component, to groups of components or to the entire system, based on the most convenient trade-off with respect to a set of parameters. The design flow performs a two-steps multiobjective design space exploration, driven by a cost function taking into account resource utilization, area, and reconfiguration time. A floorplanning based on precise FPGA resource models is introduced to guarantee the feasibility of the hardened solution, identifying a convenient mapping onto the heterogeneous reconfigurable fabric. Experimental results show that the achieved solutions, aimed at achieving a prompt, "on demand” recovery when fault occurs, are characterized by a reduction in reconfiguration time that is higher than 80 percent, a significant improvement with respect to classical solutions.
Design of axis-symmetrical dome antennas with secant-squared beams

1— In this paper we describe the design of shaped dielectric dome antennas radiating a secant-squared beam at 60GHz. The design methodology consists in a binary Genetic Algorithm combined with an asymptotic method of analysis based on the Geometrical Optics / Physical Optics technique. The dome antenna is made in Rexolite and is excited by a compact pyramidal horn antenna. The use of matching layers coated on both sides of the dome enables one to reach a 5GHz band around the central frequency.
A wire-driven miniature five fingered robot hand using elastic elements as joints

This paper describes a new driving mechanism for a miniature robot hand. In developing miniature robot hands for dexterous manipulation, it is necessary to consider miniaturizing and minimizing. The proposed mechanism uses elastic torsion springs and hinges as joints, and the finger is wire-driven from actuators placed outside the robot hand. First, the driving mechanism of a one joint finger is described, and the mechanism is applied to a five-fingered miniature robot hand. The robot hand is one-half the size of the hand of an adult male, and has a total of eighteen degrees of freedom (DOF). The properties of the robot hand are discussed, and are shown to be an effective mechanism for miniature robot hands.
The Destination for Single-Pass Membrane Proteins Is Influenced Markedly by the Length of the Hydrophobic Domain Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.000620.

The tonoplast was proposed as a default destination of membrane-bound proteins without specific targeting signals. To investigate the nature of this targeting, we created type I fusion proteins with green fluorescent protein followed by the transmembrane domain of the human lysosomal protein LAMP1. We varied the length of the transmembrane domain from 23 to either 20 or 17 amino acids by deletion within the hydrophobic domain. The resulting chimeras, called TM23, TM20, and TM17, were expressed either transiently or stably in tobacco. TM23 clearly accumulated in the plasmalemma, as confirmed by immunoelectron microscopy. In contrast, TM17 clearly was retained in the endoplasmic reticulum, and TM20 accumulated in small mobile structures. The nature of the TM20-labeled compartments was investigated by coexpression with a marker localized mainly in the Golgi apparatus, AtERD2, fused to a yellow fluorescent protein. The strict colocalization of both fluorescent proteins indicated that TM20 accumulated in the Golgi apparatus. To further test the default destination of type I membrane proteins, green fluorescent protein was fused to the 19–amino acid transmembrane domain of the plant vacuolar sorting receptor BP-80. The resulting chimera also accumulated in the Golgi instead of in post-Golgi compartments, where native BP-80 localized. Additionally, when the transmembrane domain of BP-80 was lengthened to 22 amino acids, the reporter escaped the Golgi and accumulated in the plasma membrane. Thus, the tonoplast apparently is not a favored default destination for type I membrane proteins in plants. Moreover, the target membrane where the chimera concentrates is not unique and depends at least in part on the length of the membrane-spanning domain.
On the performance of multi-way relay communications via complex field network coding

In this paper, a novel wireless cooperation scheme with complex-field network coding (CFNC), CFNC-amplify-and-forward (CFNC-AF), is developed for multi-way relay (MWR) communications. In this scheme, orthogonal CFNC vectors and joint signal detection are employed to accomplish information exchange among N(N > 2) user nodes via a helping relay node, and a multi-phase transmission protocol is designed to achieve high throughput and diversity gain. Unlike other MWR communication schemes, our scheme provides the solution for the MWR network where every node has only single antenna. By the analysis of the pairwise error probability (PEP) of the proposed scheme, the design criterion of CFNC, including full diversity criteria and maximal product criteria, are discussed. The developed scheme can achieve throughput as high as approximately 1/2 symbol per user per channel use, and N/2 symbols per channel use in total, which is much higher than that of traditional two-way relay (TWR) communications. Thus for each user node, the channel capacity of the proposed MWR network is much higher than that of the TWR network where each node has single antenna. Moreover, to minimize PEP, the power amplification factor at the relay node is optimized under the total transmission power constraint. Simulation results verify the performance gain of the developed MWR scheme.
Applying a Bioeconomic Model to Recreational Fisheries Management: Groundfish in the Northeast United States

ABSTRACT Recreational fisheries regulations frequently consist of possession limits, size limits, and seasonal closures that constrain the ability of recreational fishermen to catch or land fish. It is difficult to predict how these regulations will influence angler participation and recreational fishing mortality. This research integrates a utility-theory consistent model of demand for recreational fishing trips with an age-structured stock dynamics model to provide policy relevant advice to managers of the groundfish fishery in the Northeast United States. The recreational cod and haddock regulations implemented in 2014 have high costs in terms of foregone angler welfare and minimal positive impacts on stock conditions after three years. The ability of policies that generate large amounts of discarding, like high minimum size limits, to meet conservation objectives are also found to be quite sensitive to assumptions about the recreational discard mortality rate. JEL Codes: Q22, Q26, Q28, Q57.
Alterations in D-Type Cyclins and p27 Osteoclast Precursors via Akt-Dependent SHIP1 Negatively Regulates Proliferation of

Osteoclasts arise from macrophage progenitors in bone marrow (BMMs) as a consequence of signaling events elicited by M-CSF and receptor activator of NF- (cid:1) B ligand, acting on their unique receptors, via c-Fms and receptor activator of NF- (cid:1) B. Both receptors activate the PI3K and MAPK pathways, which promote cell proliferation and survival. SHIP1 is essential for normal bone homeostasis, as mice lacking the protein exhibit osteoporosis resulting from increased numbers of hyper-resorptive osteoclasts. In this study, we show that BMMs from SHIP1 null mice respond to M-CSF, but not receptor activator of NF- (cid:1) B ligand, by increasing Akt activation. In consequence, there are up-regulation of D-type cyclins, down-regulation of the cyclin-dependent kinase inhibitor p27, and, therefore, increased phosphorylation of the retinoblastoma protein and cell proliferation. Surprisingly, cell survival of wild-type and knockout BMMs is unaltered. Finally, osteoclastogenesis and periarticular bone erosions are mark-edly increased in SHIP1 (cid:2) / (cid:2) mice with inﬂammatory arthritis, a condition characterized by increased M-CSF expression. The SHIP1/Akt pathway therefore suppresses bone loss in pathological states associated with an excess of the cytokine. The Journal of Immunology, 2006, 177: 8777–8784.
Home bias and portfolio dynamics in a multi-country model

We extend the algorithm proposed by Devereux and Sutherland ( Country portfolio dynamics, JEDC, 2010) for computing the optimal static and dynamic portfolio to a setting with multiple assets and multiple countries. We apply this technique to investigate the impact of the emerging economies, nancially less developed, on the allocation of internationally traded assets in nancially developed economies. In a calibrated three-country economy, we discuss the impact of the trade structure and varying portfolio allocation strategies in nancially less developed economies on the allocation of internationally traded assets in the rest of the world. Our results highlight that the inclusion of nancially constrained emerging economies can help to replicate certain features of gross assets and liability positions in industrial economies, particularly in the United States. Furthermore, we show that our calibrated model is consistent with empirical evidence concerning home bias in equities and foreign equity turnover.
THEATRE FOR DEVELOPMENT IN INDIAN CONTEXT : AN INTROSPECTION

This paper introspect the role of theatre in development communication. Theatre is a very effective & responsive tool for foster the growth of development procedure. It starts off by the history of theatre in international & Indian context and with the origin & nature of development communication in third world perspective. Then the paper attempt to espouse the liaison between theatre & development by using Paulo Freire & Augusto Boal’s analysis. In India theatre worked as a weapon against political exploitation in British rule. After independence Theatre remains relevant for its participative & flexible nature. This paper also focuses on Leftist ideology in theatre & anti-fascist theatrical movement. In India theatre emphasizes the themes such as agriculture, literacy campaign, social harmony, girl trafficking, child labour, gender discrimination, religious tolerance, women empowerment, prevention of HIV-AIDS, family planning, pulse polio, nutrition, environment pollution etc. Three case studies of Nazariya, Kolkata Creative Art Performer & Ashokenagar Natyamukh give a detailed account on how theatre disseminates developmental idea in different parts of India. This paper concludes that theatre plays an effective & crucial role in conflict resolution, cultural identification, community development, social control, social protest, spreading mass awareness in different social issues to the grass root people.
Crowdfunding and Fintech: business model sharia compliant

Focus on a concrete project, share the results, contain the risk. These are some of the precepts of Islamic finance. But they are also the cornerstones of crowdfunding. This is why this form of financing is cutting out its space. With an extra pillar: no interests. The resources are still limited, but the Muslim crowdfunding ecosystem is diversifying: from the most basic reward based on social lending, with an eye to the Fintech. FinTech refers to technofinance or financial technology, that is to say, the supply of services and financial products provided through the most modern technologies made available to ICT. The services provided by FinTech are essentially those of traditional finance: therefore, from simple transactions to payments, to brokering and risk management, typical and exclusive of this sector are the activities linked to electronic currencies such as for example, the Bitcoin.
The Comparative Performance of For-profit , Public and Third-sector Providers in the Field of “ Voucher Services ” in Belgium : a DEA Frontier Approach

The “service voucher” scheme recently launched by the Belgian government to fight unemployment provides a major example of a fast developing quasi-market in which providers of all types compete. This paper presents a comparative analysis of technical efficiency for various categories of organisations operating in this field and belonging to the for-profit, the non-profit and the public sectors. Results suggest that the most efficient organizations vary greatly depending on the specification of the outputs expected from the providers. More specifically, when indicators related to the training and supervision of unemployed people put back to work and the type of labour contracts proposed to the latter are introduced to enlarge the specification of the production, third sector organizations tend to perform better than public organizations and for-profit firms.
Tag-based web photo retrieval improved by batch mode re-tagging

Web photos in social media sharing websites such as Flickr are generally accompanied by rich but noisy textual descriptions (tags, captions, categories, etc.). In this paper, we proposed a tag-based photo retrieval framework to improve the retrieval performance for Flickr photos by employing a novel batch mode re-tagging method. The proposed batch mode re-tagging method can automatically refine noisy tags of a group of Flickr photos uploaded by the same user within a short period by leveraging millions of training web images and their associated rich textual descriptions. Specifically, for one group of Flickr photos, we construct a group-specific lexicon which contains only the tags of all photos within the group. For each query tag, we employ the inverted file method to automatically find loosely labeled training web images. We propose a SVM with Augmented Features, referred to as AFSVM, to learn adapted classifiers to refine the annotation tags of photos by leveraging the existing SVM classifiers of popular tags, which are associated with a large amount of positive training web images. Moreover, to further refine the annotation tags of photos in the same group, we additionally introduce an objective function that utilizes the visual similarities of photos within the group as well as the semantic proximities of their tags. Based on the refined tags, photos can be retrieved according to more reliable relevance scores. Extensive experiments demonstrate the effectiveness of our framework.