Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast and efficient and training of neural networks

In this paper, second order algorithms, such as Levenberg Marquardt algorithm [1][2], are recommended for neural network training. Being different from traditional computation in second order algorithms, the proposed method simplifies Hessian matrix computation, by removing Jacobian matrix computation and storage. Matrix multiplications are replaced by vector operations. The proposed computation not only makes the training process faster, but also reduces the memory cost significantly. Based upon the improvement, second order algorithms can be applied for application with unlimited number of patterns.
Software reuse: issues and research directions

Software reuse has been considered as a means to help solve the software development crisis. The authors survey recent work based on the broad framework of software reusability research, and suggest directions for future research. They address general, technical, and non-technical issues of software reuse, and conclude that reuse needs to be viewed in the context of a total systems approach. They also envision a software system or reuse support system (RSS) that helps document and elucidate existing application systems so that the ideas and design decisions involved in their creation can be reused either in the contest of maintenance or when building new systems. <<ETX>>
Active learning in practice

We compare the practical performance of several recently proposed algorithms for active learning in the online setting. We consider two algorithms (and their combined variants) that are strongly online, in that they do not store any previously labeled examples, and for which formal guarantees have recently been proven under various assumptions. We perform an empirical evaluation on optical character recognition (OCR) data, an application that we argue to be appropriately served by online active learning. We compare the performance between the algorithm variants and show significant reductions in label-complexity over random sampling.
Saccharomyces cerevisiae Cdc42p Localizes to Cellular Membranes and Clusters at Sites of Polarized Growth

ABSTRACT The Cdc42p GTPase controls polarized growth and cell cycle progression in eukaryotes from yeasts to mammals, and its precise subcellular localization is essential for its function. To examine the cell cycle-specific targeting of Cdc42p in living yeast cells, a green fluorescent protein (GFP)-Cdc42 fusion protein was used. In contrast to previous immunolocalization data, GFP-Cdc42p was found at the plasma membrane around the entire cell periphery and at internal vacuolar and nuclear membranes throughout the cell cycle, and it accumulated or clustered at polarized growth sites, including incipient bud sites and mother-bud neck regions. These studies also showed that C-terminal CAAX and polylysine domains were sufficient for membrane localization but not for clustering. Time-lapse fluorescence microscopy showed that GFP-Cdc42p clustered at the incipient bud site prior to bud emergence and at the mother-bud neck region postanaphase as a diffuse, single band and persisted as two distinct bands on mother and daughter cells following cytokinesis and cell separation. Initial clustering occurred immediately prior to actomyosin ring contraction and persisted postcontraction. These results suggest that Cdc42p targeting occurs through a novel mechanism of membrane localization followed by cell cycle-specific clustering at polarized growth sites.
Dimension-independent modeling with simplicial complexes

Dealing with simplicial decompositions which are dimension independent allows for the convergence of disparate viewpoints from computer graphics, solid and geometric modeling. In this framework it is possible to treat in a unified manner several geometric problems, such as solid modeling of articulated objects, simplicial approximation of curved manifolds, motion encoding and interference detection, free configuration space computation, and graphical representation of multidimensional data. In the paper the authora describe the winged scheme, a simple representation based on simplicial decompositions, which can be used for linear polyhedra of any dimension and which allows for “solid” approximation of curved manifolds when combined with curved maps (e.g., NURBS). Various operators and algorithms are discussed, including boundary evaluation, linear and screw extrusion, grid generation, simplicial maps, and set operations. A simple manipulation language is also introduced, and some nontrivial examples are discussed.
Convex Approximation-Based Joint Power and Admission Control for Cognitive Underlay Networks

The joint power and admission control problem is considered for a cognitive underlay scenario, under Quality of Service (QoS) constraints for both primary and secondary users. Primary users must be guaranteed a premium service rate, measured by their signal to interference plus noise ratio (SINR); secondary users, if admitted, should be provided with at least a basic service rate, and the number of admitted secondary users should be maximized. The problem is NP-hard, but drawing upon recent results for joint beamforming and admission control for the cellular downlink, an efficient convex approximation algorithm is derived that yields close to optimal results at affordable complexity. The key step is a reformulation of the joint problem that naturally leads to a linear programming relaxation. Simulation results are included to illustrate the merits of the approach. Two scenarios are considered: with or without a primary user. In the latter, several good heuristic algorithms are available in the literature, and the prevalent one is used as a baseline. A brute- force enumeration algorithm is used in both cases to assess the gap to the optimal solution.
Colin Vance and Rich Iovanna an Analysis of Non-work Service Trips Ruhr Economic Papers #11

Focusing on individual motorists in car-owning households in Germany, this analysis econometrically investigates the determinants of automobile travel for non-work service activities against the backdrop of two questions: 1) Does gender play a role in determining the probability of car use and the distance driven? 2) If so, how is this role mitigated or exacerbated by other socioeconomic attributes of the individual and the household in which they reside? Drawing on a panel of data collected between 1996 and 2003, we specify Heckman’s sample selection model to control for biases that could otherwise arise from the existence of unobservable variables that determine both the discrete and continuous choices pertaining to car use. The results indicate that although women, on average, undertake more non-work travel than men, they undertake less of such travel by car, implying a greater reliance on other modes. Moreover, employment status, age, the number of children, automobile availability, and the proximity to public transit are all found to have significantly different effects on the probability of non-work car travel between men and women, but – with the exception of automobile availability – not on the distance driven. Taken together, these results suggest that policies targeted at reducing automobile dependency and associated negative externalities such as congestion are unlikely to have uniform effects across the sexes, findings having implications for both policy evaluation as well as travel demand forecasting. JEL Classification: R21, R41
Localizing Web Videos from Heterogeneous Images

While geo-localization of web images has been widely studied, limited effort is devoted to that of web videos. Nevertheless, an accurate location inference approach specified on web videos is of fundamental importance, as it's occupying increasing proportions in web corpus. The key challenge comes from the lack of sufficient labels for model training. In this paper, we tackle this problem from a novel perspective, by "transferring" the large-scale web images with geographical tags to web videos, to make a carefully designed associations between visual content similarities. A group of experiments are conducted on a collected web image and video data set, where superior performance gains are reported over several alternatives.
A new trajectory generation framework in robotic table tennis

In highly dynamic tasks that involve moving targets, planning is necessary to figure out when, where and how to intercept the target. In robotic table tennis in particular, motion planning can be very challenging due to time constraints, dimension of the search space and modelling uncertainties. To simplify the problem, conventional planning algorithms often rely on a fixed virtual hitting plane to construct robot striking trajectories. These algorithms however generate restrictive strokes and can result in unnatural strategies when compared with human playing. In this paper, we introduce a new trajectory generation framework for robotic table tennis. We use a free-time optimal control approach to construct a novel planning algorithm that does not involve a fixed hitting plane. Furthermore, we estimate the parameters of our prediction models using human demonstrations. The resulting trajectories have lower accelerations while the joint constraints are enforced at all times. Our algorithm returns the balls with a higher probability to the opponent's court in our realistic simulation environment when compared with a virtual hitting plane based method.
Geo topic model: joint modeling of user's activity area and interests for location recommendation

This paper proposes a method that analyzes the location log data of multiple users to recommend locations to be visited. The method uses our new topic model, called Geo Topic Model, that can jointly estimate both the user's interests and activity area hosting the user's home, office and other personal places. By explicitly modeling geographical features of locations and users, the user's interests in other features of locations, which we call latent topics, can be inferred effectively. The topic interests estimated by our model 1) lead to high accuracy in predicting visit behavior as driven by personal interests, 2) make possible the generation of recommendations when the user is in an unfamiliar area (e.g. sightseeing), and 3) enable the recommender system to suggest an interpretable representation of the user profile that can be customized by the user. Experiments are conducted using real location logs of landmark and restaurant visits to evaluate the recommendation performance of the proposed method in terms of the accuracy of predicting visit selections. We also show that our model can estimate latent features of locations such as art, nature and atmosphere as latent topics, and describe each user's preference based on them.
The Therapeutic Potential of 5-HT1B Autoreceptors and Heteroreceptors and 5-HT-Moduline in CNS Disorders

Abstract The endogenous peptide 5-HT–moduline has been characterized as a novel neuropeptide that binds to 5-HT1B receptors in the brain areas in which it is released. By inducing structural changes in these receptors, this peptide prevents 5-HT binding, thereby desensitizing the receptors and inhibiting serotonergic function. This novel mechanism may help to explain differential effects of the serotonergic system in varying areas of the brain that are innervated by the same or few neurons. In addition, dysfunction or disruption of the 5-HT–moduline system may contribute to psychiatric disorders such as depression and anxiety, and may have important implications for the development of new therapeutic agents for these disorders.
Effect of thermomechanical stress on resonant frequency shift of a silicon MEMS resonator

In this study, finite element modelling (FEM) is used to estimate the stresses induced by the package on a high precision silicon resonator. A link between the induced stresses and strains at different temperatures and the shift in the resonance frequency is presented. In order to accentuate the effects of the package on the resonance frequency of the resonators a double clamped beam vibrating in a flexural mode was designed. The resonance frequency can be shifted dramatically by the mechanical stress induced by the package; however, those stresses can be used to compensate the shift in resonance frequency due to the intrinsic temperature dependence of silicon. In order to prove the package design, a full 3D FEM of a O-level package containing a square Lame mode resonator is studied. Modelling results show that this resonator and package design is almost insensitive to the package deformation.
Expression and perception of emotions : The case of depression, sadness and fear

Depression covers a substantial part of mental health problems worldwide. Currently, the occurrence of symptoms listed in DSM-IV is based on its diagnosis. However, there are also additional behavioral features distinguishing between depressed and healthy individuals that do not yet have the official status of symptoms. This article aims to provide a comprehensive literature overview of the distinctive characteristics of verbal and nonverbal behavior of depressed patients. Clinical psychology and psychiatry may benefit from the availability of better, more objective indicators of verbal and nonverbal functioning, which may be useful for diagnosis, prognosis, and treatment evaluation. This chapter is based on: Balsters, M. J. H. , Krahmer, E. J., Swerts, M. G. J., & Vingerhoets, A. J. J. M. (2012). Verbal and Nonverbal Correlates for Depression: A Review. Current Psychiatry Reviews, 8(3), 227-
2 2 D ec 2 00 6 Social Dilemmas and Cooperation in Complex Networks

In this paper we extend the investigation of cooperation in s ome classical evolutionary games on populations were the network of interactio ns among individuals is of the scale-free type. We show that the update rule, the pa yoff computation and, to some extent the timing of the operations, have a marke d influence on the transient dynamics and on the amount of cooperation that can be established at equilibrium. We also study the dynamical behavior of the pop ulations and their evolutionary stability.
Novel approach to secure channel using C-SCAN and microcontroller in openflow

Openflow is a openly managed platform to future internet. Various approaches are given to widely implement this. The main concept of openflow is transferring the data packet in minimum path and cost which completely depends upon the controller-switch connection. Various issues were observed relating to the security in hierarchical model and the description about the connection (controller-switch) is not so brief. This paper have described briefly about the connection (controller-switch) connection failure and the failure handling idea using some algorithm. The main purpose of the paper is how to deal with the packet blocking situation in the network. The secure channel is blocked in several situation like simultaneous approach from multiple switches creates overloading, due to pyswitch approach flooding of data packets, due to address resolution protocol flooding of data packets and blocking the secure channel. This paper focuses in the application of the microcontroller in the network to deal with the secure channel issues and provide the cost effective solution and also share the work of controller to overcome the time complexity.
A systematic survey of the Cys2His2 zinc finger DNA-binding landscape

Cys2His2 zinc fingers (C2H2-ZFs) comprise the largest class of metazoan DNA-binding domains. Despite this domain's well-defined DNA-recognition interface, and its successful use in the design of chimeric proteins capable of targeting genomic regions of interest, much remains unknown about its DNA-binding landscape. To help bridge this gap in fundamental knowledge and to provide a resource for design-oriented applications, we screened large synthetic protein libraries to select binding C2H2-ZF domains for each possible three base pair target. The resulting data consist of >160 000 unique domain–DNA interactions and comprise the most comprehensive investigation of C2H2-ZF DNA-binding interactions to date. An integrated analysis of these independent screens yielded DNA-binding profiles for tens of thousands of domains and led to the successful design and prediction of C2H2-ZF DNA-binding specificities. Computational analyses uncovered important aspects of C2H2-ZF domain–DNA interactions, including the roles of within-finger context and domain position on base recognition. We observed the existence of numerous distinct binding strategies for each possible three base pair target and an apparent balance between affinity and specificity of binding. In sum, our comprehensive data help elucidate the complex binding landscape of C2H2-ZF domains and provide a foundation for efforts to determine, predict and engineer their DNA-binding specificities.
Life Without Parole for Juvenile Offenders: Public Sentiments

The United States Supreme Court recently abolished mandatory life in prison without parole (LWOP) for juvenile offenders, holding that the practice is inconsistent with the eighth amendment’s cruel and unusual punishment clause, and its “evolving standards of decency” jurisprudence. The Court explicitly left open the question of whether nonmandatory LWOP is consistent with these constitutional standards. This article examines the public’s sentiment concerning juvenile LWOP. An online sample (n = 599) weighted to be representative of the U.S. population was queried about juvenile LWOP as a general policy and in response to a specific case in which they had to impose a prison sentence on a juvenile convicted of murder. The age of the juvenile was experimentally manipulated as either 12 or 16. Overall, 31% of participants favored juvenile LWOP as a general policy while 55% were willing to impose juvenile LWOP in a specific case. The age of the juvenile moderated this effect, such that participants were more willing to impose LWOP on a 16-year-old than a 12-year-old both as a general policy matter and in the specific case. A majority of participants were consistent in their preferred punishment across both the general and specific inquiries, including 30% who selected LWOP. Political affiliation was the only demographic variable that predicted consistency in preferred punishment. Additionally, participants who consistently endorsed juvenile LWOP placed greater emphasis on retribution and deterrence as goals of punishment while individuals who evidenced inconsistent punishment preferences placed a greater emphasis on rehabilitation.
Shape up, Baby! Perception, Image Schemas, and Shapes in Concept Formation

Embodied cognition has emphasised the importance of sensorimotor processes for concept formation. According to this theory, image schemas are suggested to be a cognitive representation of certain basic spatial relationships. At the same time, the shape of objects is essential for categorisation and understanding. While information on both shapes and image schemas are primarily obtained through visual perception, their cognitive nature differs. Shape is an attribute of an object, whereas an image schema is a basic spatial relationship between (several) objects in a particular environment and context. We here discuss interdependencies between these two modes of perception with regard to their roles in concept formation.
A General Framework for Biclustering Gene Expression Data

A large number of biclustering methods have been proposed to detect patterns in gene expression data. All these methods try to find some type of biclusters but no one can discover all the types of patterns in the data. Furthermore, researchers have to design new algorithms in order to find new types of biclusters/patterns that interest biologists. In this paper, we propose a novel approach for biclustering that, in general, can be used to discover all computable patterns in gene expression data. The method is based on the theory of Kolmogorov complexity. More precisely, we use Kolmogorov complexity to measure the randomness of submatrices as the merit of biclusters because randomness naturally consists in a lack of regularity, which is a common property of all types of patterns. On the basis of algorithmic probability measure, we develop a Markov Chain Monte Carlo algorithm to search for biclusters. Our method can also be easily extended to solve the problems of conventional clustering and checkerboard type biclustering. The preliminary experiments on simulated as well as real data show that our approach is very versatile and promising.
Evaluation of Clusters for Climate Data

Climate data analysis is a progressive research area that focuses on analysis of change of climate conditions, investigation of climate phenomena and evaluation of interconnections of climate conditions. Data mining techniques introduce the effective and efficient way to analyze large amount of data in climatology. In this paper is presented the algorithm for climate data analysis using the clustering data mining techniques. The developed solution represents evaluation of climate data from the different points of view in order to provide a complete view of the data. Climate research experts can use these results to draw their own conclusions and perform detailed climate change analysis. Climate data is represented graphically as the map of measured climate parameters, the map of climate clusters identified in specified moment of time and the map of evolution steps identified between the consecutive time slices. Key-Words: Data mining, clustering, climate, hierarchical clustering, meteorology, evolving clusters
Echo State Networks used for Motor Control

This paper applies a new kind of recurrent neu ral networks (RNN) called Echo State Networks (ESN) [4] to the classical problem of motor speed control for a differential drive robot. ESNs can be trained orders of magnitude faster than other RNNs and previous simulation-based investigations showed promising results when ESNs where used as black box models in the domain of system identification or as a low-level plant controllers [11]. This paper validates for the first time the predicted superior simulation results by physical experiments. In order to compare the quality of an ESN controller fairly to the original PID based controller a complete test work flow is established. It consists of an embedded implementation of the ESN motor-controller, a trace facility, a procedure to train a new ESN motor-controller according to these traced data and a user interface to define and control test-drives of the robot. The results prove that the ESN controller shows a slightly better control quality as a PID controller with respect to various important error norms from control theory. For the experiments we used a RoboCup robot and for this special application scenario the ESN controller actually outperforms the PID.