Miracle-dz/UniFAR-FTUs huggingface dataset:
Ensemble of Competitive Associative Nets and Multiple K-fold Cross-Validation for Estimating Predictive Uncertainty in Environmental Modelling

This article describes the method which we have used for the predictive uncertainty in environmental modelling competition. The method uses competitive associative net called CAN2 embedding piecewise linear approximation scheme. With the scheme, we can naturally estimate piecewise error distribution or heteroscedastic error distribution which may be caused by the noise involved in environmental data. For improving the CAN2 with an efficient batch learning method for reducing empirical (training) error, we introduce ensemble method for more accurate prediction or less prediction (generalization) error. We also introduce multiple K-fold cross-validation for obtaining reliable predictive distribution.
Understanding the Importance of Work-Family Supportive Coworkers in Navigating the Work-Family Interface

Coworkers can play an important role in helping each other overcome stressful circumstances (Beehr, Jex, Stacy, & Murray, 2000; LaRocco & Jones, 1978; Viswesvaran, Sanchez, & Fisher, 1999), yet work-family researchers have paid significantly less attention to coworker-provided support than they have to supervisorprovided support (Kossek, Pichler, Bodner, & Hammer, 2011). This thesis contributes to the occupational health literature by providing empirical evidence of the benefits of a novel construct termed work-family supportive coworker behavior (WFSCB) – defined as any supportive action that a coworker can take to contribute to the improved management of an individual’s work and family role demands. A phenomenological qualitative investigation revealed five categories of WFSCB that were tested using three quantitative samples to develop and validate a multidimensional measure. The findings indicated that four dimensions of behavior best reflect WFSCB including: 1) emotional support, 2) facilitating work adjustments, 3) sharing resources and knowledge, and 4) proactively developing solutions. In testing the criterion-related validity of the new measure, this research provides evidence of the positive relationship between these behaviors and various work-family outcomes, as higher levels of WFSCB were associated with lower levels of work-to-family conflict, and higher levels of work-family balance, work-family positive spillover, and overall life satisfaction. In addition, the utility of WFSCB as a source of informal workplace support was underscored based on evidence of its incremental validity in the prediction of these same outcome variables over and above a measure of general coworker support (i.e., emotional and instrumental support). Practically, these findings suggest that general measures of coworker support WORK-FAMILY SUPPORTIVE COWORKER BEHAVIOR iii may fall short in assessing a broad spectrum of supportive coworker behaviors that can significantly contribute to improved work-family outcomes. Overall, the results of this research program will place scholars in a better position to provide prescriptive advice to organizations and employees on the behaviors that they can engage in towards one another to promote improved work-family integration for individuals and more broadly, to contribute to a work-family supportive organizational climate. WORK-FAMILY SUPPORTIVE COWORKER BEHAVIOR iv
Credit Spread Interdependencies of European States and Banks During the Financial Crisis

We investigate the interdependence of the default risk of several Eurozone countries (France, Germany, Italy, Ireland, the Netherlands, Portugal, and Spain) and their domestic banks during the period between June 2007 and May 2010, using daily credit default swaps (CDS). Bank bailout programs changed the composition of both banks’ and sovereign balance sheets and, moreover, affected the linkage between the default risk of governments and their local banks. Our main findings suggest that in the period before bank bailouts the contagion disperses from bank credit spreads into the sovereign CDS market. After bailouts, a financial sector shock affects sovereign CDS spreads more strongly in the short run. However, the impact becomes insignificant in the long term. Furthermore, government CDS spreads become an important determinant of banks’ CDS series. The interdependence of government and bank credit risk is heterogeneous across countries, but homogeneous within the same country.
Pattern based network security using decision trees and support vector machine

Decision tree is an important method for both induction research and data mining, which is mainly used for model classification and prediction. WEKA is software which is capable of doing work on various decision tree algorithms and support vector machine. In this paper, the comparative study of all Decision Tree algorithms is done. The training time, Accuracy and size of tree are the parameters used as performance measures. It is concluded that J48 Graft algorithm performs better than other algorithms. The dataset used is KDD cup'99 dataset. This dataset contains normal as well as abnormal packets. The dataset is highly uneven. We worked out on some 1000 selected packets. The support vector machine algorithms have the ability to be trained and ‘learn’ in a given environment. This feature can be used in connection with an intrusion detection system, where the support vector machine algorithm can be trained to detect intrusions by recognizing patterns of an intrusion. This paper outlines an investigation on the support vector machine models and choice of one of them for evaluation and implementation. The work also includes works on computer networks, providing a description and analysis of the structure of the computer network in order to generate network features.
Inositol 1,4,5-trisphosphate receptor binding: autoradiographic localization in rat brain

Inositol 1,4,5-trisphosphate is a second messenger generated by stimulation of the phosphoinositide cycle, thought to release calcium from intracellular stores. We have mapped the distribution of 3H- inositol 1,4,5-trisphosphate receptor binding sites in rat brain by autoradiographic techniques. The cerebellum contains the highest level of inositol 1,4,5-trisphosphate binding sites in brain, which appear to be selectively localized to Purkinje cells. Moderate levels of binding sites are present in the hippocampus, cerebral cortex, caudate, and substantia nigra. Lesion studies indicate that binding in the hippocampus is restricted to intrinsic neuronal elements and in the nigra is found on terminals of the striatonigral projection. Overall, the autoradiographic distribution of inositol 1,4,5-trisphosphate receptors resembles the distribution of phorbol ester binding sites associated with protein kinase C. However, the inositol 1,4,5- trisphosphate receptor has a more restricted distribution since it is not detectable in the spinal cord or olfactory bulb, regions with substantial levels of protein kinase C.
Multipath Congestion Control for Heterogeneous Traffic in Wireless Sensor Network

In order to achieve higher reliability and load balancing various multipath routing protocols have been proposed in Wireless Sensor Network. Moreover, wireless sensor network typically incorporates heterogeneous applications within the same network. A sensor node may have multiple sensors i.e. light, temperature, seismic etc with different transmission characteristics. Each application has different characteristics and requirements in terms of transmission rates, bandwidth, packet loss and delay demands may be initiated towards the sink. But achieving desired throughput for diverse data while disseminating through multiple paths is non trivial task as occurrence of congestion through multipath is obvious. In this paper we propose an efficient scheme to control multipath congestion so that the sink can get priority based throughput for heterogeneous data. We have used packet service ratio for detecting congestion as well as performed hop-by-hop multipath congestion control based on that metric. Finally, simulation results have demonstrated the effectiveness of our proposed approach.
Multi-domain fault management architecture based on a shared ontology-based knowledge plane

Nowadays the number of services whose functionalities need to adapt across heterogeneous networks with different technological and administrative domains has substantially increased. Each domain involves different management procedures; therefore the comprehensive management of multi-domain services presents serious problems. This paper is focused in fault management aspects and presents a novel management architecture for multi-domain environments. The architecture is based on a distributed set of agents, using semantic techniques. A Shared Knowledge Plane has been implemented to ensure communication between agents.
Fine-Grained Image Categorization by Localizing TinyObject Parts from Unannotated Images

This paper proposes a novel fine-grained image categorization model where no object annotation is required in the training/testing stage. The key technique is a dense graph mining algorithm that localizes multi-scale discriminative object parts in each image. In particular, to mimick human hierarchical perception mechanism, a super-pixel pyramid is generated for each image, based on which graphlets from each layer are constructed to seamlessly describe object parts. We observe that graphlets representative to each category are densely distributed in the feature space. Therefore a dense graph mining algorithm is developed to discover graphlets representative to each sub- super-category. Finally, the discovered graphlets from pairwise images are encoded into an image kernel for fine-grained recognition. Experiments on the UCB-200 [32] shown that our method performs competitively to many models relying on the annotated bird parts.
Brief report: establishing ABA programs in a Welsh context: cross cultural considerations

The application of behavior analytic principles as an effective therapy for children with autism has been repeatedly demonstrated in the literature. Intensive Behaviour Intervention (IBI) has been successfully utilized intensively with children with autism (e.g. Lovaas, 1987). ABA has been increasingly utilized in a diverse range of other linguistic and cultural contexts over the past twenty years. Gwynedd Local Education Authority (LEA) in North West Wales, UK, is funding a small-scale autism-specific specialist education service using ABA methodology, available through the medium of Welsh. This unique service is illustrated by a case example demonstrating the success of an ABA program in this novel cultural and linguistic environment. Issues arising from delivering ABA interventions in a non-English context are discussed. It is argued that there is a role for a cross-cultural, multi-lingual network discussion forum to compare learning with other linguistic and cultural contexts where ABA is being utilized.
Not so unfortunate: carnivalisation, metafiction & the elements of grotesque realism in The Bad Beginning by Lemony Snicket

Abstract As the harbinger in Lemony Snicket’s children’s novel series, A Series of Unfortunate Events, The Bad Beginning unfolds subversively from the outset. This woeful tale is a far cry from what we traditionally expect to be a story written for children. Klaus, Violet and Sunny, the orphaned protagonists of the story, are literally the ‘magnets for misfortune’. As they experience the tragic events, the Baudelaires’ talents and abilities are constantly put to the test. A series of unfortunate events, this essay argues, leads to a fortunate and spiritual insight in the Baudelaires that underlines a sense of connectedness in the children who go through traumatic calamities, a spiritual sense that deals with both the bright and dark sides of the events. To substantiate this argument, Mikhail Bakhtin’s carnivalisation and degradation are utilised to shed a different and, of course, a spiritual shade of light on the seeming unfortunate events. Hierarchies are reversed and grotesque imageries reinforce degradation. This degradation, however, sparks off a new genesis in the life of the Baudelaires. Turning to the metafictional side of the novel and its conflicting relations with didacticism, this essay verifies the claim that Lemony Snicket provokes children into a critical reading of their own choice. Ultimately, the essay examines the mentioned Bakhtinian elements to gain a richer understanding of the melancholic narrative of the Baudelaires in the context of an upside down genre. This is when a tragic tale is read like a fairy tale.
Target-Cell Specificity of Kainate Autoreceptor and Ca2+-Store-Dependent Short-Term Plasticity at Hippocampal Mossy Fiber Synapses

Presynaptic kainate receptors (KARs) modulate transmission between dentate granule cells and CA3 pyramidal neurons. Whether presynaptic KARs affect other synapses made by granule cell axons [mossy fibers (MFs)], on hilar mossy cells or interneurons, is not known. Nor is it known whether glutamate release from a single MF is sufficient to activate these receptors. Here, we monitor Ca2+ in identified MF boutons traced from granule cell bodies. We show that a single action potential in a single MF activates both presynaptic KARs and Ca2+ stores, contributing to use-dependent facilitation at MF–CA3 pyramidal cell synapses. Rapid local application of kainate to the giant MF bouton has no detectable effect on the resting Ca2+ but facilitates action-potential-evoked Ca2+ entry through a Ca2+ store-dependent mechanism. Localized two-photon uncaging of the Ca2+ store receptor ligand IP3 directly confirms the presence of functional Ca2+ stores at these boutons. In contrast, presynaptic Ca2+ kinetics at MF synapses on interneurons or mossy cells are insensitive to KAR blockade, to local kainate application or to photolytic release of IP3. Consistent with this, postsynaptic responses evoked by activation of a single MF show KAR-dependent paired-pulse facilitation in CA3 pyramidal cells, but not in interneurons or mossy cells. Thus, KAR–Ca2+ store coupling acts as a synapse-specific, short-range autoreceptor mechanism.
Chemotherapy Enhances Cross-Presentation of Nuclear Tumor Antigens

Cross-presentation of tumor antigen is essential for efficient priming of naïve CD8+ T lymphocytes and induction of effective anti-tumor immunity. We hypothesized that the subcellular location of a tumor antigen could affect the efficiency of cross-presentation, and hence the outcome of anti-tumor responses to that antigen. We compared cross-presentation of a nominal antigen expressed in the nuclear, secretory, or cytoplasmic compartments of B16 melanoma tumors. All tumors expressed similar levels of the antigen. The antigen was cross-presented from all compartments but when the concentration was low, nuclear antigen was less efficiently cross-presented than antigen from other cellular locations. The efficiency of cross-presentation of the nuclear antigen was improved following chemotherapy-induced tumor cell apoptosis and this correlated with an increase in the proportion of effector CTL. These data demonstrate that chemotherapy improves nuclear tumor antigen cross-presentation and could be important for anti-cancer immunotherapies that target nuclear antigens.
Microcontroller based a nondestructive infrared spectroscopy instrument for assessment of mango quality using bio-optic techniques

A portable infrared spectroscopy instrument based microcontroller has been designed and with help of developed algorithm for mango fruit quality assessment and characterization. This paper presents the design and development of a fruit quality grading instrument using Bio-optic sensor. The experiments were conducted to obtain the results from the developed instrument and the observed results were correlated according to the measured output of the Bio-optic sensor. In the experiment, a large number of mango fruit samples have been monitored for period time of six days to study the correlation between fruit ripening process versus time period. The obtained result measured by the developed instrument was in the range of 3.5 V to 4.2 V for unripe mango fruit and the ripest one. The rate of quality increase was calculated as an average of 6.7 mV per day.
Twin-Load: Bridging the Gap between Conventional Direct-Attached and Buffer-on-Board Memory Systems

Conventional systems with direct-attached DRAM struggle to meet growing memory capacity demands: the number of channels is limited by pin count, and the number of modules per channel is limited by signal integrity issues. Recent buffer-on-board (BOB) designs move some memory controller functionality to a separate buffer chip, which lets them support larger capacities (by adding more DRAM or denser, non-volatile components). Nonetheless, lower-cost, lower-latency, direct-attached DRAM still represents a better price-performance solution for many applications. Most processors exclusively implement either the direct-attached or the BOB approach. Combining both technologies within one processor has obvious benefits, but current memory-interface requirements complicate this straightforward solution. The standard DRAM interface is DDR, which requires data to be returned at a fixed latency. In contrast, the BOB interface supports diverse memory technologies precisely because it allows asynchrony. We propose Twin-Load technology to enable one processor to support both direct-attached and BOB memory. We show how to use Twin-Load to support BOB memory over standard DDR interfaces with minimal processor modifications. We build an asynchronous protocol over the existing, synchronous interface by splitting each memory read into twinned loads. The first acts as a prefetch to the buffer chip, and the second asynchronously fetches the data. We describe three methods for generating twinned loads, each leveraging different layers of the system stack.
Target tracking with interactive multiple model in geodetic coordinate system for naval ships cooperative engagement

Aiming at naval cooperative engagement problem, a decentralized fusion architecture based on geodetic coordinate system is presented. To increase the performance of maneuvering target tracking and fusion four efforts are made. Firstly, a more appropriate multiple model method is used in describing movement properties of the maneuvering warship, Secondly, the Unscented Kalman filter in an interacting multiple mode (IMM) algorithms to track the maneuvering warship is provided. Thirdly, for numerical stability problems often encountered in implementing of interactive multiple modes unscented Kalman filter, a numerical robust solution based on square root filtering is given. Fourthly, a decentralized fusion algorithm for warships is proposed. The proposed algorithm can unify tracking and fusion algorithms in short range, intermediate range and long-distance circumstances, and simplifies the system information flow for target calculation. The simulation results show the efficiency and robustness of the proposed algorithm with high precision.
On integrating insights from human speech perception into automatic speech recognition

In spite of the effort and progress made during the last few decades, the performance of automatic speech recognition (ASR) systems still lags far behind that achieved by humans. Some researchers think that more speech data will be sufficient in order to bridge this performance gap. Others think that radical modifications to the current methods need to be made, and possible inspirations for these modifications should come from human speech perception (HSP). This paper focuses on two issues: first, it presents a comparison between HSP and ASR emphasizing some insights from HSP that could still be applied in ASR; second, it presents some ideas for extracting useful non-linguistic information from the speech signal, the so called ‘rich transcription’, which could help in selecting specialized acoustic-linguistic models that offer higher accuracy than the general models.
A Survey of Analytical Time-Sharing Models

Queueing models of t~me-sharing algortthms have been appearing in the literature with increasing frequency. This survey dehneates the parameters which dmtinguish the different analytic models and presents the research results of most of the papers to date. The techniques used m analyzing various round-robin models and multiple-level queue models both with and without priomhes are emphasized. The results indicated provide the system designer with a number of degrees of freedom with which to synthesize a t]me-shared processing system and point out needed research directions. An annotated bibliography is provided.
Acoustic Correlates of Perceived Emotional Stress

In this study the predictability of 15 discrete emotions (e.g. fear, uncertainty, rage, anger, sadness, love, tenderness, satisfaction, joy, sexual pleasure, surprise) and 6 bipolar emotional dimensions (feeling good/bad, strong/ weak, certain/uncertain, tense/relaxed, excited/calm, sympathetic/not sympathetic) by 39 acoustic parameters was tested by multiple regression analysis. The stimulus material consisted of 60 utterances expressing 15 emotions (constant wording: SAG DAS NOCHMAL. ICH KANN'S NICHT GLAUBEN. WAS FÜR EIN TAG). For each emotion the quality of the emotional impression is nearly perfectly predictable from acoustic parameters. Within the domain of emotional stress the acoustic correlates of excitement, tension, feeling good/bad, fear, uncertainty, anger, sadness and surprise were examined seperately. Results show that perceived excitement is mainly mediated by fundamental frequency (within-syllable and between-syllable variation), whereas negative evaluated excitement and anxiety is mediated by (short) vowel duration and rising intensity within sentences. Anger, fear, uncertainty, sadness and surprise can be discriminated by additional acoustic features of speed, intensity and fundamental frequency. However, with increasing utterance length the impression of emotional stress is mediated by different acoustic features. Most of the 39 parameters affect the perceived emotional state only locally, at single parts of the utterances. Only four parameters have a stable influence on within-utterance variations of perceived emotional stress (within-utterance variations of F0, variations of vowel duration, downward F0 perturbation, sudden increase of intensity between phonological phrases).
A post-processing method for optimizing synthesis strategy for oligonucleotide microarrays

The broad applicability of gene expression profiling to genomic analyses has generated huge demand for mass production of microarrays and hence for improving the cost effectiveness of microarray fabrication. We developed a post-processing method for deriving a good synthesis strategy. In this paper, we assessed all the known efficient methods and our post-processing method for reducing the number of synthesis cycles for manufacturing a DNA-chip of a given set of oligos. Our experimental results on both simulated and 52 real datasets show that no single method consistently gives the best synthesis strategy, and post-processing an existing strategy is necessary as it often reduces the number of synthesis cycles further.